mlconf_jobs.json

[
    {
        "title": "Azure Solution Architects",
        "type": "full",
        "location": "Mumbai",
        "salary_start": 0,
        "salary_end": 0,
        "website_link": "https://mlconf.com/job/scatterpie-analytics-mumbai-6-azure-solution-architects/",
        "description": "\n\t\t\t\t<p><strong>Job Summary:</strong></p>\n<p>The Azure Solution Architect will be responsible for designing, implementing, and maintaining cloud solutions using Microsoft Azure. The architect will collaborate with Client\u2019s to understand business requirements and design solutions that meet their needs. They will work with the technical team to ensure the solutions align with best practices, standards, and security protocols.</p>\n<p><strong>Key Responsibilities:</strong></p>\n<p>Design, implement, and maintain cloud solutions using Microsoft Azure.<br/>\nCollaborate with stakeholders to understand business requirements and design solutions that meet their needs.<br/>\nWork with the technical team to ensure the solutions align with best practices, standards, and security protocols.<br/>\nProvide technical leadership and guidance to the team on Azure architecture and implementation.<br/>\nDesign and implement infrastructure as code using tools such as ARM templates or terraform.<br/>\nDevelop and implement cloud security best practices and governance frameworks.<br/>\nMonitor and optimize cloud solutions for performance, cost, and scalability.<br/>\nDevelop and maintain documentation related to architecture, design, and implementation of Azure solutions.<br/>\nKeep up-to-date with the latest industry trends and technologies related to Azure and recommend new solutions as appropriate.</p>\n<p><strong>Requirements:</strong></p>\n<p>Bachelor\u2019s degree in Computer Science or a related field.<br/>\n5+ years of experience in designing and implementing cloud solutions using Microsoft Azure.<br/>\nStrong understanding of cloud architecture and implementation best practices.<br/>\nExperience with infrastructure as code tools such as ARM templates or terraform.<br/>\nExperience with cloud security best practices and governance frameworks.<br/>\nStrong knowledge of Azure services such as Azure Virtual Machines, Azure Storage, Azure SQL Database, Azure Cosmos DB, Azure Functions, and Azure DevOps.<br/>\nExcellent problem-solving and troubleshooting skills.<br/>\nStrong communication and collaboration skills.<br/>\nMicrosoft Azure certification, such as Microsoft Certified: Azure Solutions Architect Expert, is preferred.</p>\n<p><strong>Note: The above job description is not intended to be an exhaustive list of all duties, responsibilities, or qualifications associated with the job.</strong></p>\n\t\t\t",
        "tags": [],
        "apply_link": "https://scatterpie.io/"
    },
    {
        "title": "Senior Tableau Lead",
        "type": "full",
        "location": "Mumbai, Maharashtra",
        "salary_start": 0,
        "salary_end": 0,
        "website_link": "https://mlconf.com/job/techknomatic-services-pvt-ltd-mumbai-maharashtra-6-senior-tableau-lead/",
        "description": "\n\t\t\t\t<p><strong>Job description</strong><br/>\nLead and drive the development in the BI domain using Tableau eco-system with deep technical and BI ecosystem knowledge. The resource will be responsible for the dashboard design, development, and delivery of BI services using the Tableau eco-system.</p>\n<p><strong>Key functions &amp; responsibilities:</strong></p>\n<p>Communication &amp; interaction with the Project Manager to understand the requirement<br/>\nDashboard designing, development, and deployment using Tableau eco-system<br/>\nEnsure delivery within the given time frame while maintaining quality<br/>\nStay up to date with current tech and bring relevant ideas to the table<br/>\nProactively work with the Management team to identify and resolve issues<br/>\nPerforms other related duties as assigned or advised<br/>\nHe/she should be a leader that sets the standard and expectations through example in his/her conduct, work ethic, integrity, and character<br/>\nContribute to dashboard designing, R&amp;D, and project delivery using Tableau</p>\n<p><strong>Academics:</strong></p>\n<p>Bachelor\u2019s degree preferable in Computer science.<br/>\nA Master\u2019s degree would have an added advantage.</p>\n<p><strong>Experience:</strong></p>\n<p>Overall 5+ Years of experience in DWBI development projects, having worked on BI and Visualization technologies (Tableau, Qlikview) for at least 5 years.<br/>\nAt least 4 years of experience covering Tableau implementation lifecycle including hands-on development/programming, managing security, data modeling, data blending, etc.</p>\n<p><strong>Technology &amp; Skills:</strong></p>\n<p>Hands-on expertise in Tableau administration and maintenance<br/>\nStrong working knowledge and development experience with Tableau Server and Desktop Strong knowledge in SQL, PL/SQL, and Data modeling<br/>\nKnowledge of databases like Microsoft SQL Server, Oracle, etc.<br/>\nExposure to alternate Visualization technologies like Qlikview, Spotfire, Pentaho, etc.<br/>\nGood communication &amp; Analytical skills with Excellent creative and conceptual thinking abilities Superior organizational skills, attention to detail/level of quality, Strong communication skills, both verbal and written</p>\n\t\t\t",
        "tags": [],
        "apply_link": "mailto:careers@techknomatic.com?subject=Application%20via%20Senior%20Tableau%20Lead%20listing%20on%20https%3A%2F%2Fmlconf.com"
    },
    {
        "title": "Principal Machine Learning Engineer",
        "type": "full",
        "location": "New York",
        "salary_start": 0,
        "salary_end": 0,
        "website_link": "https://mlconf.com/job/sounder-fm-new-york-6-principal-machine-learning-engineer/",
        "description": "\n\t\t\t\t<p><strong>ABOUT SOUNDER</strong></p>\n<p>Sounder is an industry-leading data solutions platform for audio publishers, marketers, and ad marketplaces. We build cutting-edge artificial intelligence and machine learning systems to analyze the world\u2019s audio and help generate a deep understanding through relevant data and key insights.</p>\n<p>Data fuels growth. We\u2019ve seen it time and time again across every industry. When stakeholders access deep, actionable, and scalable insights, it unlocks a new frontier of opportunity.</p>\n<p>This moment for the audio industry has finally arrived.</p>\n<p>Sounder exists to usher in this data-powered transformation for audio. In turn, the industry will grow faster than ever. Now that publishers, marketers, and ad marketplaces have access to insights, we will see increased efficiencies, better decision-making, improved product experiences, more robust advertising performance, and superior listener engagement.</p>\n<p>If you\u2019re passionate about the future of the spoken-word economy, you\u2019ve found the right place. Apply from anywhere, and join our remote team!</p>\n<p><strong>ABOUT THE ROLE</strong></p>\n<p>As a Principal Machine Learning Engineer working within the Data team, you\u2019ll be a key member of Sounder\u2019s overall Product\u00a0&amp;\u00a0Engineering team, responsible for developing and executing against the product vision and engineering roadmap. We are seeking an experienced and skilled software engineer who is able to work at every step of building a scalable AI/ML solution for an audio data cloud, particularly around NLP.</p>\n<p>This role requires understanding a Product Requirement Definition, proposing a scalable and practical AI/ML solution, discussing, evaluating options against consumers\u2019 needs and infrastructure constraints, and being able to independently develop the AI solution into a production-level quality.</p>\n<p>You will work closely with various departments throughout Sounder including but not limited to Design, Marketing, Product, and Data Science. You\u2019ll have the opportunity to dynamically work with a wide variety of projects and challenges.</p>\n<p><strong>WHAT YOU\u2019LL DO<br/>\n</strong><br/>\n\u2013 Design and build AI/ML products<br/>\n\u2013 Daily collaboration between engineering and product to understand and determine strategies on how to build competitive AI/ML solutions for our overall platform<br/>\n\u2013 Take initiative to learn, grow and develop technical skills to ensure \u2013 Sounder\u2019s product is exceptional<br/>\n\u2013 Research new technologies to find the most optimal technical solutions<br/>\n-Become an expert in podcasting technology and the overall audio industry</p>\n<p><strong>WHAT WE\u2019RE LOOKING FOR</strong></p>\n<p>\u2013 10+ years of experience in AI/ML software development against large consumer-facing data; having worked with creator data is a plus;<br/>\n\u2013 Hands-on professional experience in AI and ML algorithms, evaluation techniques, scaling AI solutions, a good grasp of open source libraries and datasets,<br/>\n\u2013 Hands-on professional experience of agile product development and coding principles related to deploying AI/ML products to large amounts of users,<br/>\n\u2013 Experience with cloud-based data stores and APIs (AWS preferred),<br/>\n\u2013 A proven track record of planning and shipping successful technology<br/>\n\u2013 BA/BS in an analytical field such as engineering, math, computer science, Masters\u2019s Degree in AI/ML related fields is a plus.<br/>\n\u2013 An attention to detail and an eye for great architecture, performance, and scalability<br/>\n\u2013 Strong analytical, organizational, and communication skills, both oral and written in English<br/>\n\u2013 Eagerness to work in a fast-paced work environment<br/>\n\u2013 Passion about creator economy, and love for podcasts!</p>\n<p><strong>OUR BENEFITS<br/>\n</strong><br/>\n\u2013 Competitive salary and equity commensurate with experience and performance<br/>\n\u2013 Full medical, dental, and vision packages to fit your needs<br/>\n\u2013 Unlimited vacation policy; work hard and take time off when you need it<br/>\n\u2013 A rare, ground-floor opportunity to work with sharp, motivated teammates solving hard challenges and changing the world in a fast-growing industry just getting started<br/>\n\u2013 We have a remote-friendly culture\u2014while we would love for you to work with colleagues at times out of the NYC office, our employees can work from anywhere</p>\n<p>Please note this role is open to candidates outside of New York City as well. The information below is provided for those hired in NYC only.</p>\n<p>If you are a New York City applicant:</p>\n<p>The estimated pay range for this role, based in New York City, is $235,000 \u2013 $250,000. This role will also be eligible to participate in our company\u2019s equity program. Our salary ranges are based on paying competitively for our size and industry and are one part of many compensation, benefits, and other reward opportunities we provide.</p>\n<p>Individual pay rate decisions are based on a number of factors, including qualifications for the role, experience level, skill set, and balancing internal equity relative to peers at the company.</p>\n<p>The range above is for the expectations as laid out in the job description, however, we are often open to a wide variety of profiles, and recognize that the person we hire may be less experienced (or more senior) than this job description as posted. If that ends up being the case, the updated salary range will be communicated to you as a candidate.</p>\n<p><strong>THE SOUNDER STORY<br/>\n</strong><br/>\nSounder builds Audio Intelligence tools for independent audio creators, media publishers, and audio platforms. Our team was founded in 2019 by Google and Spotify executives and is currently distributed worldwide. As a Sounder employee, we believe you can work from wherever you do your best work.</p>\n<p>Sounder is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to and will not be discriminated against based on age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category.</p>\n<p>If you require assistance during the application process, please don\u2019t hesitate to reach out. If you\u2019d like to learn more about Sounder and our team, feel free to check out our website and our blog.</p>\n\t\t\t",
        "tags": [],
        "apply_link": "https://jobs.lever.co/sounder/bdc98430-1c4d-4d58-8051-5a2ace4b4cba"
    },
    {
        "title": "Founder",
        "type": "full",
        "location": "New York",
        "salary_start": 0,
        "salary_end": 0,
        "website_link": "https://mlconf.com/job/tbd-new-york-6-founder/",
        "description": "\n\t\t\t\t<p>I am the founder in a stealth mode gen AI startup, based in manhattan.</p>\n<p>We have a transformative new \u201cgenerative ML\u201d product we are developing. to be honest, this will be a very splashy startup when we launch early next year.</p>\n<p>We are seeking a lead NLP researcher, as well as very soon we\u2019ll be recruiting for VP Sales, marketing, product, COO, ML engineers. Equity and salary, early stage disruptive startup.</p>\n<p>So, if you are passionate about ML and NLP, please do email me and introduce!</p>\n\t\t\t",
        "tags": [],
        "apply_link": "mailto:tommymehl@gmail.com?subject=Application%20via%20Founder%20listing%20on%20https%3A%2F%2Fmlconf.com"
    },
    {
        "title": "Lead Engineer ML & Data Science",
        "type": "full",
        "location": "Berlin/Germany (Remote/Hybrid)",
        "salary_start": 0,
        "salary_end": 0,
        "website_link": "https://mlconf.com/job/justwatch-gmbh-berlin-germany-remote-hybrid-6-lead-engineer-ml-data-science-2/",
        "description": "\n\t\t\t\t<p>We own the world\u2019s largest streaming guide, which gives us unparalleled data and insights on audience behaviors and content tastes. We understand entertainment audiences &amp; content better.</p>\n<p>We deliver business outcomes, so if you\u2019re a builder unafraid to challenge conventions and bring new ideas to the table, we want to hear from you! Bring our tailor-made tools for the needs of the movie industry to the very next level!</p>\n<p>If you want to know much more about us: http://media.justwatch.com</p>\n\t\t\t",
        "tags": [],
        "apply_link": "https://jobs.lever.co/justwatch/a18c2c19-ab3e-40ba-b8a7-6a9c141412a5"
    },
    {
        "title": "Assistant Adjunct Professor \u2013 Data Science \u2013 School of Information, UC Berkeley.",
        "type": "full",
        "location": "Berkeley, CA",
        "salary_start": 0,
        "salary_end": 0,
        "website_link": "https://mlconf.com/job/school-of-information-at-the-university-of-california-berkeley-berkeley-ca-6-assistant-adjunct-professor-data-science-school-of-information-uc-berkeley/",
        "description": "\n\t\t\t\t<p>Assistant Adjunct Professor \u2013 Data Science \u2013 School of Information, UC Berkeley.</p>\n<p>The School of Information at the University of California, Berkeley is hiring an\u00a0Assistant Adjunct Professor \u2013 Data Science. This is a full-time position.</p>\n<p>We are looking for candidates with expertise and interest in Data Engineering, Machine Learning and/or Natural Language Processing.</p>\n<p>The application details are at &lt;https://aprecruit.berkeley.edu/JPF03704&gt;</p>\n\t\t\t",
        "tags": [],
        "apply_link": "https://aprecruit.berkeley.edu/JPF03704"
    },
    {
        "title": "Senior Deep Learning Researcher, Speech (PhD)",
        "type": "full",
        "location": "Remote - Worldwide",
        "salary_start": 0,
        "salary_end": 0,
        "website_link": "https://mlconf.com/job/assemblyai-remote-worldwide-6-senior-deep-learning-researcher-speech-phd/",
        "description": "\n\t\t\t\t<p><strong>AssemblyAI is a remote-first AI company building powerful deep learning models for developers, startups, and enterprises to transcribe and understand their audio data.</strong></p>\n<p><strong>Our ASR models already outperform companies like Google, AWS, and Microsoft</strong>\u00a0\u2013 which is why hundreds of companies and thousands of developers are using our APIs to transcribe and understand millions of videos, podcasts, phone calls, and zoom meetings every day. Our APIs power innovative products like conversational intelligence platforms, zoom meeting summarizers, content moderation, and automatic closed captioning.</p>\n<p><strong>AssemblyAI\u2019s Speech-to-Text APIs are already trusted by Fortune 500s, startups, and thousands of developers around the world, with\u00a0well-known customers including Spotify, Algolia, Dow Jones, Happy Scribe, BBC, The Wall Street Journal, and NBCUniversal.</strong>\u00a0As part of a huge and emerging market, AssemblyAI is well on its way to becoming the leader in speech recognition and NLP.</p>\n<p>We\u2019re growing at breakneck speed, and recently announced our Series B round. <strong>We\u2019ve raised $63M in total funding,\u00a0and are backed by leading investors including Insight Partners, Accel, Y Combinator, Patrick and John Collision (Founders of Stripe), Nat Friedman (Former CEO of GitHub), and Daniel Gross (Entrepreneur &amp; Investor in companies including GitHub, Uber &amp; SpaceX)!</strong></p>\n<p>Our ambition is to build an iconic AI company, making advanced deep learning technology accessible to everyday developers through a simple API, good docs, and a great developer experience.</p>\n<p><strong>Join our world-class, remote team and help us build an iconic deep learning company!</strong></p>\n<p><strong>The Role</strong></p>\n<p>AssemblyAI is growing quickly, and we\u2019re searching for a Deep Learning Researcher to join our team. With significant investment and strong leadership to fuel our growth, it\u2019s the perfect time to join the AssemblyAI team!</p>\n<p>In this role you\u2019ll have the opportunity to:</p>\n<ul>\n<li><strong>Continually push the state of the art in speech recognition and NLP.</strong> You will conduct cutting edge deep learning research in speech and NLP. Our ASR models already outperform companies like Google, AWS, and Microsoft \u2013 and we\u2019re looking for the best deep learning engineers and researchers to help us continually push the state of the art in speech recognition to get to human level performance.</li>\n<li><strong>Research &amp; train AssemblyAI\u2019s deep learning models.\u00a0</strong>You will work with large scale data sets to research and train deep learning models for speech recognition. You will research and develop novel algorithms and techniques to advance the state of the art in natural language understanding. You will conduct research and experiments in order to improve accuracy of our Deep Learning ASR pipeline. You will also dig into weaknesses and failure points of our current ASR models in order to identify further areas for improvement.</li>\n<li><strong>Be part of a world-class team of creative researchers &amp; engineers.\u00a0</strong>You will help strengthen the position of AssemblyAI as a leading company in AI research. Our deep learning team is a tight knit group of creative researchers and engineers, who are not afraid to try unconventional ideas. You will also work with the broader speech recognition team as we continually strive to match human level accuracy.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>PhD in computer science, machine learning, or similar field</li>\n<li>1-3+ years of professional experience in Deep Learning research &amp; development</li>\n<li>2+ years of experience with PyTorch or TensorFlow</li>\n<li>In-depth experience with Asynchronous (async) speech recognition</li>\n<li>Wav2Letter++, Wav2vec, CTC, RNNTs, and/or LAS</li>\n<li>Track record of publications at Speech Processing/NLP conferences (ACL, EMNLP, ICASSP, INTERSPEECH, ICLR, NeurIPS, and others)</li>\n</ul>\n<p><strong>Preferred Experience (any of the following)</strong></p>\n<ul>\n<li>Experience with Google JAX</li>\n<li>Experience with Reinforcement Learning</li>\n<li>Experience training large models on multiple GPUs</li>\n<li>Speaker diarization</li>\n<li>Multilingual speech recognition</li>\n<li>Real-time speech recognition</li>\n</ul>\n<p><strong>Skills</strong></p>\n<ul>\n<li>Detail-oriented, analytical, and creative problem solver with a passion for quality processes</li>\n<li>Ability to work independently, raise issues and take corrective action</li>\n<li>A keen eye for detail</li>\n</ul>\n<p><strong>Our Team</strong></p>\n<p><strong>Our team is made up of problem solvers, innovators and top AI researchers with over 20+ years of experience in Machine Learning, NLP, and Speech Recognition from companies like DeepMind, Google Brain, Meta, Apple and Amazon.</strong>\u00a0They conduct cutting edge deep learning research and develop novel algorithms &amp; techniques to continually push the state of the art in speech recognition &amp; NLP!</p>\n<p>Our team is fully remote, and our culture is super collaborative, low-ego, transparent, and fast-paced. We want to win \u2013 and have a flat organization where everyone can openly share ideas (regardless of their title or position) in order to get the best idea.</p>\n<p><strong>As a remote company, our team members are given a lot of trust and autonomy to work where and how they want.</strong> We look for people to join our team who are ambitious, curious, and self-motivated, and we put a lot of trust and autonomy into everyone on our team.\u00a0We want to empower everyone to do their best work with whatever tools, structures, or resources they need to perform at their highest potential.</p>\n<p><strong>Benefits (US)</strong></p>\n<ul>\n<li>Competitive Salary + Bonus</li>\n<li>Equity</li>\n<li>401k</li>\n<li>100% Remote team</li>\n<li>Unlimited PTO (most of our team takes 3-4 weeks off per year)</li>\n<li>Premium Healthcare (100% Covered for you + dependents)</li>\n<li>Vision &amp; Dental Care</li>\n<li>$1K budget for your home office setup</li>\n<li>New Macbook Pro (or PC if you prefer)</li>\n<li>2x/year company paid team retreat</li>\n</ul>\n\t\t\t",
        "tags": [],
        "apply_link": "mailto:katie@assemblyai.com?subject=Application%20via%20Senior%20Deep%20Learning%20Researcher%2C%20Speech%20%28PhD%29%20listing%20on%20https%3A%2F%2Fmlconf.com"
    },
    {
        "title": "Lead Machine Learning Engineer",
        "type": "full",
        "location": "New York, NY",
        "salary_start": 0,
        "salary_end": 0,
        "website_link": "https://mlconf.com/job/stylitics-new-york-ny-6-lead-machine-learning-engineer/",
        "description": "\n\t\t\t\t<p><strong>Who We Are\u00a0\u00a0</strong></p>\n<p>Stylitics is the leading visual outfitting and styling solution for the world\u2019s top retailers and brands. Our clients include Nike, Macy\u2019s, Kohl\u2019s, Revolve, Puma, Crate &amp; Barrel, Bloomingdale\u2019s, and dozens of others. Founded in 2011, Stylitics uses a powerful combination of algorithms, trend data, and stylist expertise to deliver millions of on-brand outfit recommendations daily across multiple channels such as e-commerce, email, advertising, stores, and social media.\u00a0About 100 million shoppers use Stylitics content and technology on retail sites each month to find inspiration, discover new products and brands, and gain confidence in how to style their purchases.</p>\n<p><strong>About the Role\u00a0</strong></p>\n<p>We are seeking a highly skilled and experienced Lead Machine Learning Engineer to join our team and drive innovation through the development and implementation of machine learning models and systems. As a Lead Machine Learning Engineer, you will have the opportunity to lead a team of machine learning engineers and an exploratory data analyst, using your technical expertise in machine learning and deep learning, as well as your excellent leadership, communication, and team management skills, to guide and support your team as they work on a variety of projects and applications. In this role, you will have the chance to make a real impact on the success of Stylitics and shape the future of machine learning in the retail industry.</p>\n<p><strong>What You Will Do</strong></p>\n<ul>\n<li>Lead a team of machine learning engineers and an exploratory data analyst to develop and implement machine learning models and systems for a variety of projects and applications</li>\n<li>Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions</li>\n<li>Research and apply state-of-the-art techniques in machine learning and deep learning to improve model performance</li>\n<li>Train and fine-tune machine learning models using a variety of data sources</li>\n<li>Evaluate model performance and suggest improvements</li>\n<li>Write clean, efficient, and well-documented code</li>\n<li>Mentor and provide technical guidance to team members</li>\n<li>Communicate effectively with team members, stakeholders, and other relevant parties</li>\n<li>Plan and manage team resources, including project timelines and priorities</li>\n</ul>\n<p><strong>Must-Have Qualifications</strong></p>\n<ul>\n<li>3+ years of experience working with ML in production environment, with great track record of deploying ML projects to production</li>\n<li>Experience leading and managing a team of machine learning engineers and data analysts</li>\n<li>Bachelor\u2019s or Master\u2019s degree in Computer Science or a related field</li>\n<li>Strong background in applied statistics, applied mathematics, linear algebra, algorithmic design</li>\n<li>Strong technical expertise in machine learning and deep learning, with experience in at least one deep learning framework such as TensorFlow or PyTorch</li>\n<li>Excellent communication skills and the ability to clearly and effectively present technical concepts to both technical and non-technical audiences</li>\n<li>Strong problem-solving skills and the ability to think creatively and strategically</li>\n<li>Experience with data preprocessing and data visualization techniques</li>\n<li>A passion for learning and staying up-to-date with the latest trends and techniques in machine learning and deep learning</li>\n</ul>\n<p><strong>Nice-to-Have Qualifications</strong></p>\n<ul>\n<li>Ph.D. or Master\u2019s Degree in Computer Science, Data Science, or Statistics</li>\n<li>Good understanding of low-level CPU and GPU performance</li>\n<li>Pytorch Experience</li>\n<li>Clojure experience (or willingness to learn!)</li>\n</ul>\n<p><strong>Our Benefits &amp; Perks</strong></p>\n<ul>\n<li>Vision and dental insurance options that are fully covered by us</li>\n<li>Medical plan coverage, with options that start at no cost to you</li>\n<li>Competitive salary along with career planning for the future</li>\n<li>For this role, stock options in a company that is growing rapidly and successfully</li>\n<li>Commuter benefits program</li>\n<li>Company matched 401k plan to help plan for your future</li>\n<li>Generous paid time off policies</li>\n<li>Work events \u2013 both virtual and in person</li>\n<li>Access to Gympass \u2013 a company paid benefit giving you access to numerous physical and mental well being needs</li>\n<li>Working with fun, hardworking, nice people who are committed to making a difference</li>\n</ul>\n<p><strong>Our Values</strong></p>\n<p>Our values reflect what is important to us at Stylitics and serve as the foundation in which we do business. Each core value is best illustrated by actions and attitudes that each Stylitics team member practices. They define what working at Stylitics means and what our teams embody through their time here.</p>\n<ul>\n<li>We care deeply about delivering high quality work</li>\n<li>We work to be the best partners possible</li>\n<li>We get things done</li>\n<li>We believe the right team matters most</li>\n<li>We think like customers and act like owners</li>\n<li>We relish being pioneers</li>\n</ul>\n<p><strong>Join Us</strong></p>\n<p>We strive to create a place where all feel safe, empowered, engaged, championed, and inspired. Equal Employment Opportunity has been and will continue to be, a fundamental principle at Stylitics where employment is based upon personal capabilities and qualifications without discrimination because of race, religion, color, gender, national origin, age, citizenship, ancestry, marital status, sexual orientation, gender identity and expression, pregnancy and related medical conditions, veteran status, genetic information, disability or any other reason prohibited by federal, state or local law. This applies to all policies and employment practices relating to recruitment and hiring, compensation, benefits, termination and all other terms and conditions of employment.</p>\n\t\t\t",
        "tags": [],
        "apply_link": "https://grnh.se/6b2466432us"
    },
    {
        "title": "Machine Learning Developer",
        "type": "full",
        "location": "Anywhere",
        "salary_start": 0,
        "salary_end": 0,
        "website_link": "https://mlconf.com/job/hashup-6-machine-learning-developer/",
        "description": "\n\t\t\t\t<p>Job Description:</p>\n<p>We are seeking an experienced Machine Learning Developer to join our team and help drive the development of innovative solutions in the gaming industry. In this role, you will be responsible for designing and implementing machine learning algorithms, models, and systems for a new Project we are developing in Partnership with an Industry leading Gaming Company from Poland.</p>\n<p>\u00a0</p>\n<p>Key Responsibilities:</p>\n<p>\u2013 Design, develop, and implement machine learning algorithms and models.<br/>\n\u2013 Conduct research and analysis to identify new opportunities for applying machine learning to the gaming industry.<br/>\n\u2013 Collaborate with cross-functional teams, including product management, engineering, and data science, to identify and solve complex business problems.<br/>\n\u2013 Stay current with advancements in machine learning and AI and apply this knowledge to the development of new products and services.<br/>\n\u2013 Mentor and provide guidance to junior developers as needed.</p>\n<p>Qualifications:</p>\n<p>\u2013 Bachelor\u2019s or Master\u2019s degree in Computer Science, Mathematics, Physics, or a related field.<br/>\n\u2013 Strong experience in developing machine learning algorithms and models, including deep learning, reinforcement learning, and computer vision.<br/>\n\u2013 Proficiency in Python and a deep understanding of machine learning frameworks such as TensorFlow and PyTorch.<br/>\n\u2013 Experience working with large datasets and conducting data analysis.<br/>\n\u2013 Strong problem-solving and critical thinking skills, with the ability to identify and solve complex business problems.<br/>\n\u2013 Excellent written and verbal communication skills, with the ability to effectively communicate technical information to both technical and non-technical audiences.</p>\n<p>What We Offer:</p>\n<p>\u2013 Competitive salary and benefits package<br/>\n\u2013 Stability of a well-funded Company<br/>\n\u2013 A dynamic, fast-paced, and supportive work environment<br/>\n\u2013 The opportunity to work on innovative solutions and make a positive impact in the gaming industry<br/>\n\u2013 Opportunities for professional growth and career advancement (Conference Budget, etc.)</p>\n<p>If you are a talented and motivated Machine Learning Developer with a passion for innovation and a love for gaming, we want to hear from you. Apply today and become a part of the HashUp team!</p>\n\t\t\t",
        "tags": [],
        "apply_link": "https://angel.co/l/2yfNJG"
    },
    {
        "title": "Data Science Post-Doc",
        "type": "full",
        "location": "Portland, OR",
        "salary_start": 0,
        "salary_end": 0,
        "website_link": "https://mlconf.com/job/lewis-and-clark-college-portland-or-6-data-science-post-doc/",
        "description": "\n\t\t\t\t<p>Located in Portland, Oregon, Lewis &amp; Clark College is a small liberal arts college with 2,100 undergraduates. We invite applications for a 2-year post-doctoral position in Data Science. The Data Science program at Lewis &amp; Clark consists of an undergraduate minor supported by an interdisciplinary group of faculty members. This position will collaborate with existing faculty to elevate the data science program by offering enriching introductory and upper division data science courses.</p>\n<p>Candidates must be committed to supporting the development of an innovative Data Science program in a liberal arts undergraduate setting, and to excellence in teaching and scholarship. We will consider candidates who have completed or are on track to complete a PhD in any applied field (Natural Sciences, Social Sciences, or Humanities) who have advanced training in data science. The successful candidate must be able to teach Introduction to Data Science, an intermediate data science course with an applied emphasis, and an upper division course in an area of their expertise, for example applied statistical modeling. We are especially interested in candidates who will develop courses that further connect our data science program to its mission of promoting the usage of data science for the social good.</p>\n<p>We invite applicants to join a supportive, creative, and collaborative community of scholar-teachers as we prepare students for meaningful careers, civic engagement, and lifelong discovery. Together we seek a just and sustainable society, both locally and globally. We seek candidates who wish to become excellent teachers and scholars at an undergraduate institution and whose varied experiences, perspectives, and backgrounds can contribute to a diverse and inclusive community of critical thinkers. Fellows teach three courses per year \u2013 one or two each semester. Lewis &amp; Clark has a well-developed mentorship program and offers a unique opportunity for a recent Ph.D. to develop as a teacher and scholar. The fellow is expected to contribute to the intellectual life of the campus through interactions with faculty and students, and a scholarly presentation each academic year. Ph.D. required at the time of appointment. The fellowship begins mid-August 2023 and continues to the end of the spring 2025 semester.</p>\n<p>A complete application must include a cover letter which describes your interest in joining Lewis &amp; Clark College, your research interests, your teaching philosophy, your preparation to teach students from diverse backgrounds, and a description of the ways you can contribute to a culture of equity and inclusion on our campus. We also require a curriculum vitae, evidence of teaching effectiveness, a sample of scholarship (which may be work in progress), graduate transcripts, and two letters of recommendation (uploaded separately by your recommenders). Materials may be addressed to Ellen Seljan and must be submitted via Interfolio:\u00a0http://apply.interfolio.com/120374. Click \u201cApply\u201d to create your free account. Review of applications will begin on February 25th, 2023 and continue until the position is filled. Lewis &amp; Clark College will conduct a background check at the time an offer is made.</p>\n<p>Lewis &amp; Clark College is an Equal Opportunity Employer and adheres to a nondiscriminatory policy with respect to educational programs, activities, employment, and admission. We do not\u00a0discriminate on the basis of actual or perceived race, color, sex, religion, age, marital status, national origin, the presence of any physical or sensory disability, veteran status, sexual orientation, gender identity, gender expression, or any other basis prohibited by applicable federal, state, and local laws. The Associate Vice President of Human Resources has been designated to handle inquiries regarding employment- and disability-related non-discrimination policies. Title IX inquiries may be directed to the Title IX coordinator or deputy Title IX coordinators (https://www.lclark.edu/about/title_ix_compliance).</p>\n\t\t\t",
        "tags": [],
        "apply_link": "https://apply.interfolio.com/120374"
    },
    {
        "title": "Teaching Professor and Academic Director of MSBA Program",
        "type": "full",
        "location": "Washington DC",
        "salary_start": 0,
        "salary_end": 0,
        "website_link": "https://mlconf.com/job/georgetown-university-mcdonough-school-of-business-washington-dc-6-teaching-professor-and-academic-director-of-msba-program/",
        "description": "\n\t\t\t\t<p>Georgetown University\u2019s McDonough School of Business invites applications for a full-time, 12-month Teaching Professor with administrative responsibilities. In addition to teaching, this non-tenure line faculty member will serve as the Academic Director for the Master of Science in Business Analytics (MSBA) Program. The M.S. in Business Analytics (MSBA) program is a 16-month part-time program (online with on-campus residency requirements) in Business Analytics that enables future business leaders to use data-driven decision making to solve modern business challenges.\u00a0 This premier program currently has an annual enrollment of 100+ students.</p>\n<p>\u00a0</p>\n<p>This position covers 15-credits of teaching/administrative responsibilities including:</p>\n<p>\u25aa\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Leading the MSBA program and oversee the overall planning and execution of the program in collaboration with the business school\u2019s academic leadership and the Dean,</p>\n<p>\u25aa\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Teaching courses with emphasis on business analytics and data science in MSBA and other programs across McDonough,</p>\n<p>\u25aa\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Engaging in short-term and long-term strategic planning to ensure quality of the academic experience,</p>\n<p>\u25aa\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Collaborating with faculty to make continuous improvements to the curriculum and courses,</p>\n<p>\u25aa\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Advising students and engaging with student leadership,</p>\n<p>\u25aa\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Engaging with internal and external constituents to ensure successful outcomes,</p>\n<p>\u25aa\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Coordinating with administrative, careers, and admissions staff, and</p>\n<p>\u25aa\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Collaborating with other Georgetown University Schools in the academic space of Analytics and Data Science to advance analytics and data sciences at the University as a whole.</p>\n<p>\u00a0</p>\n<p>Candidates must hold a graduate degree (a Ph.D. is preferred) in Business or Data Analytics or a related discipline. We are seeking dynamic candidates with demonstrated ability to successfully teach courses in the analytics space with relevant professional experience in the business analytics field.\u00a0 The successful candidate must be a visionary and thought leader who can adapt and guide the program towards the changing analytics landscape. The appointment can begin as early as May 2023 and the search process will continue until the position is filled.</p>\n<p>\u00a0</p>\n<p>ABOUT THE MCDONOUGH SCHOOL OF BUSINESS</p>\n<p>Located in Washington, D.C., Georgetown University\u2019s McDonough School of Business offers unparalleled access to the world\u2019s business, policy and thought leaders as well as a collegial environment for professional development. The school, which attracts faculty and students from around the world, is committed to developing principled leaders capable of making complex business decisions in a global environment and who are dedicated to serving both business and society. The school\u2019s undergraduate, MBA, Executive MBA, and specialized graduate programs provide solid grounding in all the core management disciplines, with an emphasis on the global, ethical and political environment of business (http://msb.georgetown.edu).</p>\n<p>\u00a0</p>\n<p>APPLICATION PROCEDURE</p>\n<p>To assure full consideration, applications, including cover letter, curriculum vitae, teaching evaluations and names and contact information of three references should be submitted to Interfolio http://apply.interfolio.com/119752. Consideration will begin January 31, 2023 or earlier, but applications are welcome until the position is filled.</p>\n<p><em>Georgetown University is an\u00a0Equal Opportunity/Affirmative Action Employer\u00a0fully dedicated to achieving a diverse faculty and staff.\u00a0 All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, color, religion, national origin, age, sex (including pregnancy, gender identity and expression, and sexual orientation), disability status, protected veteran status, or any other characteristic\u00a0protected by law.</em></p>\n\t\t\t",
        "tags": [],
        "apply_link": "http://apply.interfolio.com/119752"
    },
    {
        "title": "Director, Scientific Data Division",
        "type": "full",
        "location": "Berkeley, CA",
        "salary_start": 0,
        "salary_end": 0,
        "website_link": "https://mlconf.com/job/lawrence-berkeley-national-laboratory-berkeley-ca-6-director-scientific-data-division/",
        "description": "\n\t\t\t\t<p>Director, Scientific Data Division \u2013 97574</p>\n<p>Division:\u00a0 DD-Data Science</p>\n<p>\u00a0</p>\n<p>Lawrence Berkeley National Laboratory is seeking an experienced scientific leader with an outstanding record of research accomplishments in data science, computer science, computational science, applied math, or related fields to serve as the Director of the Scientific Data (SciData) Division.</p>\n<p>\u00a0</p>\n<p>About the Position:</p>\n<p>This is an unparalleled opportunity to lead a research division that is internationally recognized for excellence in computer science, data science, and computational research, and to foster an environment that supports high-quality scientific research in foundational and groundbreaking fields and further advances in data-intensive computational science.</p>\n<p>\u00a0</p>\n<p>The SciData Division Director oversees a staff of 100 employees and affiliates and an annual budget of $30 million. Responsibilities include:</p>\n<p>\u2022\u00a0Providing vision and leadership for the Division;</p>\n<p>\u2022\u00a0Overseeing research, operations, finance, human resources, and environmental health and safety;</p>\n<p>\u2022\u00a0Establishing a culture of excellence and inclusion by recruiting a diverse team of outstanding scientists and staff, enthusiastically supporting and promoting their career development; and</p>\n<p>\u2022\u00a0Advancing Berkeley Lab\u2019s stewardship values of team science, innovation, trust, respect, and service, including building and maintaining a culture that is committed to the ideals of Inclusion, Diversity, Equity, and Accountability.</p>\n<p>\u00a0</p>\n<p>Reporting to the Associate Laboratory Director for Computing Sciences, the SciData Director serves as a member of the executive team of the Computing Sciences Area, comprising the National Energy Research Scientific Computing Center (NERSC), Scientific Networking, and Applied Mathematics and Computational Research Divisions in addition to the SciData Division. The Director builds collaborative partnerships and programs within the Computing Sciences Area, with other Divisions at Berkeley Lab, and with external research institutions to contribute to large-scale, multidisciplinary initiatives, such as quantum information science and Artificial Intelligence.</p>\n<p>\u00a0</p>\n<p>About the Scientific Data Division:</p>\n<p>The SciData Division transforms data-driven discovery and understanding through the development and application of novel data science methods, technologies, and infrastructures in partnership with science domain experts. Its work in machine learning involves researching, developing and sharing the algorithms, software, tools, and libraries that are fundamental to scientific machine learning. The Division builds tools and models that transform data generated by simulations, experiments, and observations to a form that researchers can manipulate to gain scientific insight. It advances and leverages data management, analytics, and security techniques to solve important problems in scientific cyber infrastructure and energy delivery systems. The Division also leads software engineering, software release management, and software development efforts that promote the visibility, usability, reliability, and sustainability of software products in domains from chemical engineering to high-energy physics.</p>\n<p>\u00a0</p>\n<p>Just as research and development programs benefit science, domain scientists influence and contribute to the direction and content of SciData\u2019s research. SciData works in partnership with a variety of experts in domains ranging from biology and materials science to fundamental physics and climate science to develop tools, techniques, and technologies to meet the data-analysis challenges posed by present and future experimental, observational, and simulation data. SciData researchers regularly win Best Paper awards, are called upon to give keynote addresses at international conferences, and develop leading-edge software that researchers worldwide use to produce impactful results.</p>\n<p>\u00a0</p>\n<p>The SciData Division has a diverse funding portfolio, including from the U.S. Department of Energy (DOE) Office of Science. Learn more about the SciData Division here.</p>\n<p>\u00a0</p>\n<p>Key Responsibilities:</p>\n<p>Research Direction:</p>\n<p>\u2022\u00a0Provide scientific and operational leadership for SciData research programs, overseeing a $30-million portfolio and approximately 100 staff, including scientists, postdoctoral fellows, professional staff, and students, as well as several affiliates.</p>\n<p>\u2022\u00a0Develop new initiatives advancing a long-term research vision and strategic plan aligned with national goals, and working collaboratively with Berkeley Lab senior leadership.</p>\n<p>\u2022\u00a0Play a key role in the formulation and direction of Laboratory programs, strategy, and research policies that enhance Berkeley Lab\u2019s preeminence as a National Laboratory.</p>\n<p>\u00a0</p>\n<p>Partnership, Communications, and Culture:</p>\n<p>\u2022\u00a0Work closely with Division Directors and Associate Lab Directors across the Laboratory to support existing high visibility collaborations and identify new opportunities to collaborate.</p>\n<p>\u2022\u00a0Develop cooperative programs with colleagues at University of California and other research institutions.</p>\n<p>\u2022\u00a0Establish and communicate the SciData Division\u2019s mission, goals, programs, and accomplishments to Division staff and funding sponsors, Berkeley Lab staff and leadership, and to the broader research community.</p>\n<p>\u2022\u00a0Liaise with DOE and other funding agencies, in partnership with other DOE Laboratories, to champion data science research, influence future research directions, and communicate new ideas; implement DOE policies as they impact the SciData Division.</p>\n<p>\u2022\u00a0Foster a culture of diversity, inclusion, equity, and accountability by: following best practices in recruitment and promotion; engaging staff at all levels through communication, involvement, and recognition; and encouraging diverse committees and panels.</p>\n<p>\u00a0</p>\n<p>Research Operations:</p>\n<p>\u2022\u00a0Ensure operational effectiveness and compliance, in partnership with the Operations Deputy, across the operations areas, including budgets, funding, workforce planning, human resources management, environmental health and safety, property, space, and facilities management.</p>\n<p>\u2022\u00a0Guide strategies for hiring, retaining, and developing a diverse and productive staff.</p>\n<p>\u2022\u00a0Help assure the efficient, effective, and safe operation of the Laboratory as a member of Berkeley Lab\u2019s scientific and operational management team.</p>\n<p>\u00a0</p>\n<p>Qualifications:</p>\n<p>Education:</p>\n<p>\u2022\u00a0Ph.D. or equivalent education/experience in computer science, data science, applied math, or a related field, and at least 10 years of professional experience.</p>\n<p>\u00a0</p>\n<p>Research Expertise:</p>\n<p>\u2022\u00a0An expert and leader in an area of computer science, data science, computational science, applied math, or other fields related to the SciData Division\u2019s research programs.</p>\n<p>\u2022\u00a0Strong record of research accomplishments, as evidenced by scholarly publications, patents, development and release of software products, and/or funded research grants.</p>\n<p>\u00a0</p>\n<p>Research Program Development &amp; Management:</p>\n<p>\u2022\u00a0Experience and demonstrated competence in the management of scientific projects and collaborative science.</p>\n<p>\u2022\u00a0Strategic leadership ability applicable to running a diverse, team-oriented organization with a multidisciplinary group of scientists and engineers.</p>\n<p>\u2022\u00a0Ability to interact effectively with funding agencies and initiate substantial new research efforts and collaborations.</p>\n<p>\u00a0</p>\n<p>Communications and Culture:</p>\n<p>\u2022\u00a0Effective interpersonal and communication skills, and the ability to interact at the highest level of management, both internally and externally, in a constructive and collaborative manner and in a way that appropriately represents the Laboratory.</p>\n<p>\u2022\u00a0Commitment to diversity, inclusion, equity, and accountability, including a commitment to mentoring and career development of personnel.</p>\n<p>\u00a0</p>\n<p>Research Operations:</p>\n<p>\u2022\u00a0Experience in effective oversight of operational functions, creativity in decision making and problem solving, and experience in human resource management.</p>\n<p>\u00a0</p>\n<p>Application Guidelines:</p>\n<p>\u2022\u00a0For full consideration, please submit your CV and cover letter by February 15, 2023.</p>\n<p>\u2022\u00a0In the cover letter, highlight your interest and vision for the position as well as relevant professional experience and accomplishments, including personal contributions to diversity, equity, and inclusion.</p>\n<p>\u00a0</p>\n<p>Notes:</p>\n<p>\u2022\u00a0This is a full-time career appointment, exempt (monthly paid) from overtime pay.</p>\n<p>\u2022\u00a0This position is expected to pay $325,000 to $365,000 annually; salary for this position will be commensurate with the final candidate\u2019s qualifications and experience, including skills, knowledge, relevant education, certifications, as well as\u00a0aligned with the internal leadership peer group. Please note the above pay scale fits within the full salary range of $220,380 to $457,392 for the Scientific Division Director job classification. It is not typical for an individual to be offered a salary at or near the top of the full range for a position.</p>\n<p>\u2022\u00a0This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.</p>\n<p>\u2022\u00a0The Scientific Data Division Director position is a career position that is appointed by and serves at the discretion of the Laboratory Director, and this appointment is at will and may be terminated at any time with or without cause.</p>\n<p>\u2022\u00a0This position is subject to the financial disclosure requirements of the California Political Reform Act of 1974. The successful candidate for this position will be required to file financial interest statements upon assuming this position, annually while holding this position, and when leaving this position.</p>\n<p>\u2022\u00a0Work will be primarily performed at: Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.</p>\n<p>\u00a0</p>\n<p>How To Apply</p>\n<p>Apply directly online at <a href=\"http://50.73.55.13/counter.php?id=249158\">http://50.73.55.13/counter.php?id=249158</a> and follow the on-line instructions to complete the application process.</p>\n<p>\u00a0</p>\n<p>About Berkeley Lab</p>\n<p>Berkeley Lab is a U.S. Department of Energy (DOE) national laboratory managed by the University of California and designated a Federally Funded Research and Development Center. The Laboratory conducts world-class research that supports clean energy, a healthy planet, and solution-inspired discovery science. Berkeley Lab is defined by our deeply felt sense of stewardship, which we describe as a commitment to taking care of the Laboratory\u2019s research, people, and resources that are entrusted to us. Our values of team science, innovation, service, trust, and respect knit us together as a community. We practice these values and prioritize our principles of inclusion, diversity, equity, and accountability (IDEA) to build highly effective teams that produce world-class science and technology and where all individuals, regardless of their backgrounds, disciplines, and experiences, can thrive. More about Berkeley Lab.</p>\n<p>\u00a0</p>\n<p>Based on University of California Policy \u2013 SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov for more information.</p>\n<p>\u00a0</p>\n<p>Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab\u2019s mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.</p>\n<p>\u00a0</p>\n<p>Equal Opportunity and IDEA Information Links:</p>\n<p>Know your rights, click here (http://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.</p>\n\t\t\t",
        "tags": [],
        "apply_link": "http://50.73.55.13/counter.php?id=249158"
    },
    {
        "title": "Assistant Professor Position",
        "type": "full",
        "location": "College Park, Maryland",
        "salary_start": 0,
        "salary_end": 0,
        "website_link": "https://mlconf.com/job/university-of-maryland-college-park-maryland-6-assistant-professor-position/",
        "description": "\n\t\t\t\t<p>Position Announcement</p>\n<p>\u00a0</p>\n<p>Assistant Professor Position Department of Mechanical Engineering University of Maryland, College Park</p>\n<p>\u00a0</p>\n<p>The Department of Mechanical Engineering at the University of Maryland, College Park invites applications for exceptionally qualified candidates to apply for tenure-track faculty positions, with a target start date of August 2023 or later.</p>\n<p>\u00a0</p>\n<p>Priority will be given to candidates with expertise in the Design and Industrial AI area. Exceptional candidates with expertise outside these areas are also welcome to apply.</p>\n<p>Qualifications: Candidates for the rank of Assistant Professor should have received or expect to receive their PhD in Mechanical Engineering or a related discipline prior to employment. Additionally, candidates should be creative and adaptable, and have a high potential for both research and teaching.</p>\n<p>\u00a0</p>\n<p>Additional Information: For best consideration, applications should be submitted by February 15, 2023, but the positions will remain open until filled. Women and minorities are strongly encouraged to apply. Please apply by uploading the following documents through the UMD employment website at http://ejobs.umd.edu, position 127734:</p>\n<p>\u00a0</p>\n<p>1)\u00a0 Cover Letter</p>\n<p>2)\u00a0 Curriculum Vitae</p>\n<p>3)\u00a0 Research Statement</p>\n<p>4)\u00a0 Teaching Statement</p>\n<p>5)\u00a0 References (names of four)</p>\n<p>\u00a0</p>\n<p>Inquiries may be sent to: mefacultyaffairs@umd.edu.</p>\n<p>\u00a0</p>\n<p>The Department of Mechanical Engineering (www.enme.umd.edu) hosts vibrant education and research programs and is currently ranked in the top twenty of all mechanical engineering graduate and undergraduate programs within the United States. Department faculty members are encouraged to establish multi-disciplinary collaborations with colleagues and leverage a broad spectrum of shared research facilities. The University of Maryland has strong research ties with many government agencies, institutes, research laboratories, and other organizations located in the greater D.C. area.</p>\n<p>\u00a0</p>\n<p>The University of Maryland, College Park, an equal opportunity/affirmative action employer, complies with all applicable federal and state laws and regulations regarding nondiscrimination and affirmative action; all qualified applicants will receive consideration for employment. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, religion, sex, national origin, physical or mental disability, protected veteran status, age, gender identity or expression, sexual orientation, creed, marital status, political affiliation, personal appearance, or on the basis of rights secured by the First Amendment, in all aspects of employment, educational programs and activities, and admissions.</p>\n\t\t\t",
        "tags": [],
        "apply_link": "https://ejobs.umd.edu/postings/103179"
    },
    {
        "title": "MLOps Engineer",
        "type": "full",
        "location": "US east coast, EU",
        "salary_start": 0,
        "salary_end": 0,
        "website_link": "https://mlconf.com/job/hala-systems-us-east-coast-eu-6-mlops-engineer/",
        "description": "\n\t\t\t\t<p><strong>If you\u2019re interested in this position, please submit your application materials here:\u00a0</strong><a href=\"https://hala.link/job-mlops-apply-MLConf\">https://hala.link/job-mlops-apply-MLConf</a></p>\n<p>Hala Systems, Inc. is a social enterprise working to transform the nature of protection and accountability in the world\u2019s toughest places by democratizing advanced defense, sensing, and artificial intelligence technology. Hala is currently saving lives, reducing trauma, and improving resilience for millions of people.</p>\n<p>Our team works across the globe and hails from over 15 countries. We speak over 20 languages and have studied and worked in leading educational, business, research and government institutions. We are mission-driven thinkers, and we share a deep respect for each other and for the communities that partner with us.</p>\n<p>We believe in innovation with purpose, focusing on developing real and applicable technology solutions to the challenges facing the planet. We believe in working ethically and collaboratively, and making decisions with transparency. We value flexibility, adaptability, and a good sense of humor.</p>\n<p>The MLOps Engineer will be a part of a high-performing Data Science team developing and implementing AI algorithms to help address global challenges. They will develop and use modern software engineering practices to deploy AI/ML solutions; Identify and evaluate new technologies to improve the performance, maintainability, and reliability of Hala\u2019s learning systems. The MLOps Engineer will contribute to the technical work program of Hala\u2019s projects, providing expert guidance and strong technical mentorship, reporting to the Director of Analytics.</p>\n<p><strong>This position remote position is open to candidates based in Europe with a yearly gross salary range of 48.000\u20ac \u2013 58.000\u20ac. This position is also open to candidates based on the East Coast of the United States, with a yearly gross salary range of 124,000$ \u2013 134,000$</strong></p>\n<p>\u00a0</p>\n<p><strong>We\u2019ll trust you to:</strong><br/>\n<em>These are the responsibilities of the position</em></p>\n<ul>\n<li>Be part of a high-performing team developing and implementing AI algorithms to help address critical global challenges.</li>\n<li>Develop and use modern software engineering practices to deploy AI/ML solutions at scale.</li>\n<li>Maintain knowledge of advances of AI and scalable computing in industry and academia.</li>\n<li>Evaluate AI architecture solutions and compare to external stakeholders\u2019 requirements and needs.</li>\n<li>Contribute to the technical work program of one or more projects, providing expert guidance and high-quality technical products focused on successful outcomes, strong technical leadership, and transition of research to operations.</li>\n<li>Provide caring mentorship and collaborative technical advice to staff.</li>\n<li>Design the data pipelines and engineering infrastructure to support our clients\u2019 enterprise machine learning systems at scale.</li>\n<li>Take offline models data scientists build and turn them into a real machine learning production system.</li>\n<li>Develop and deploy scalable tools and services for our clients to handle machine learning training and inference.<br/>\nIdentify and evaluate new technologies to improve performance, maintainability, and reliability of Hala\u2019s learning systems.</li>\n<li>Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc.</li>\n<li>Support model development, with an emphasis on auditability, versioning, and data security.</li>\n<li>Facilitate the development and deployment of proof-of-concept machine learning systems.</li>\n<li>Communicate with clients to build requirements and track progress.</li>\n</ul>\n<p>\u00a0</p>\n<p><strong>Who you are:</strong></p>\n<ul>\n<li>A highly collaborative, well-rounded professional.</li>\n<li>An exemplary diplomat with exceptional interpersonal skills.</li>\n<li>A visionary and strategist.</li>\n<li>An excellent communicator who is able to provide appropriate and data-driven recommendations.</li>\n<li>A creative problem-solver,</li>\n<li>A highly driven, results-oriented person.</li>\n</ul>\n<p>\u00a0</p>\n<p><strong>We\u2019d love to see:</strong><br/>\n<em>These are the technical skills and qualifications</em></p>\n<ul>\n<li>Bachelor\u2019s Degree in Computer Science, Engineering, Cybersecurity, or related technical field</li>\n<li>Advanced degree in related field of study.</li>\n<li>2\u20135 years experience building production-quality software.</li>\n<li>4+ years\u2019 work experience with Machine Learning, DevOps, Deep</li>\n<li>Learning, Computer Vision, high-performance computing (HPC), software engineering and/or related fields.</li>\n<li>Hands-on experience using tools such as: Python, C/C++, and database languages.</li>\n<li>Experience supporting efforts training &amp; deploying AI/ML models.</li>\n<li>Outstanding written and oral presentation skills are required for both internal and stakeholder-facing communications.</li>\n<li>Hands-on experience managing or provisioning GPU/CPU clusters, or other large-scale cloud or Linux/Unix systems.</li>\n<li>Hands on experience developing and training AI/ML models.</li>\n<li>Proven experience implementing CI/CD on large-scale operational AI pipelines.</li>\n<li>Operational experience deploying across cross-provider, cross-domain cloud computing environments.</li>\n<li>Ability to translate business needs to technical requirements.</li>\n<li>Strong understanding of software testing, benchmarking, and continuous integration.</li>\n<li>Exposure to machine learning methodology and best practices.</li>\n<li>Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc.).</li>\n</ul>\n<p>\u00a0</p>\n<p><strong>What Hala offers you:</strong></p>\n<ul>\n<li>Life-saving social impact.</li>\n<li>Competitive salaries.</li>\n<li>Unlimited vacation policy and flexible holidays so you can take time off when you need it. All staff take a minimum of 22 days off plus holidays, including a mandatory 2 week vacation.</li>\n<li>Comprehensive, world-wide healthcare, dental and vision insurance for you and your family at no cost to you.</li>\n<li>Paid parental leave.</li>\n<li>Flexible working policy, including the ability to work from home.</li>\n<li>Computer and other office equipment to help you get your job done.</li>\n<li>Relocation assistance for you, your family, and your pets for eligible positions.</li>\n<li>A diverse, international community of dedicated, hardworking team players committed to interdisciplinary collaboration and a thriving workplace culture.</li>\n<li>Opportunities for international travel, including to program locations and satellite offices.</li>\n</ul>\n<p><em>If there\u2019s something important to you that isn\u2019t on this list, please ask!</em></p>\n<p>\u00a0</p>\n<p><strong>What happens next:</strong><br/>\nWe will review applications and reach out to candidates advancing to the interview stage. You should expect a phone screen, followed by several interviews with team members and the supervisor for this role, concluding with the opportunity to speak with both of our co-founders.</p>\n<p>You will receive a confirmation that your application was received, and you\u2019ll also hear back from us whether you\u2019re selected for an interview or not. Please note that we are unable to offer individualized feedback before the first interview round due to the volume of applications we receive.</p>\n\t\t\t",
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