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The Chief Data Architect is responsible for defining a Big Data implementation framework; translating mission needs into Big Data system, analytic, and visualization tools requirements; and working with multi-disciplinary teams to design, guide engineering solutions, and then explore, examine, and visualize data to extract knowledge and insights from large and complex collections of digital data.. Additionally, the Big Data and Innovation Support Lead is responsible for the design, development, test, deployment, and use of associated advanced analytic and data science tools including data visualization, link analysis, correlation, sophisticated analytics programs, machine learning, and statistical methods to prepare data for use in predictive and prescriptive modeling.. Experience working with ETL tools such as Informatica, Talend.. Experience in the research and development of applications/services in disciplines such as Natural Language Processing, Machine Learning, Conceptual Modeling, Statistical Analysis, Predictive Modeling, and Hypothesis testing.. We are seeking a Chief Data Architect to join our team supporting ODNI HALO. TekSynap is a fast-growing high-tech company that understands both the pace of technology today and the need to have a comprehensive well-planned information management environment."
The mission of the Central Technology ML (CTML) team is to pioneer and implement the technology roadmap that paves the way for the future of machine learning computing on Arm architecture.. Develop an in-depth understanding of current and future ML workloads on ARM compute platforms, focusing on performance, power, and area (PPA).. A Master’s or PhD degree in Computer Engineering, Electrical Engineering, Computer Science, or related fields.. Knowledge of deep learning libraries such as TensorFlow and PyTorch.. Experience training large deep learning models on GPU-based systems.
Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow.. Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Anthem, and Guardian (including a medical plan with infertility benefits).. Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging.. Get notified about new Artificial Intelligence Engineer jobs in San Francisco, CA
At Lilly, we unite caring with discovery to make life better for people around the world.. Strong experience with machine learning algorithms, statistical modeling, and predictive analytics.. Expertise in programming languages such as Python, R, SQL, and familiarity with big data technologies like Hadoop, Spark, and cloud platforms (e.g., AWS, GCP, Azure).. Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions.. Our current groups include : Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), enAble (for people with disabilities).
Citian is a fast growing, venture backed SaaS technology company based in Washington, DC. Our software solutions revolutionize how our transportation systems – roads, rail, transit, bicycle, pedestrian – operate. Citian is seeking to hire a Transportation Data Scientist who will play a crucial role in developing and implementing state-of-the-art machine learning models for use cases in traffic safety, mobility, and city planning. The ideal candidate will exhibit excellent knowledge of the data science and data engineering disciplines with transportation industry experience, including working with large datasets in a Python/SQL environment. Strong knowledge of Python, SQL, Python data science libraries (Pandas, Numpy, Scikit-learn, etc. Opportunity to gain valuable experience and make a significant impact in a fast growing, venture-backed tech startup
Collaborate Across Functions: Work hand-in-hand with leaders across Engineering, Product Management, and Data Science to amplify the impact of AI/ML across F5 products. Hands-on experience with modern ML frameworks like PyTorch, TensorFlow, and hardware acceleration platforms (CUDA, ROCm, etc.. End-to-End Knowledge: Expertise in machine learning models, SaaS products, observability architecture, and production-scale cloud computing deployments, particularly in Kubernetes environments. Vice President, Scientific Data Strategy.. Machine Learning Software Engineering Manager
Oversee execution of this research using a broad range of analytically rigorous, quantitative and qualitative research tools, methods, and skills.. Domain expertise in one or more relevant biology domains (e.g., virology, molecular biology, computational biology, biosecurity, etc).. Proficiency in Python or other popular programming languages and machine learning frameworks (e.g. PyTorch, TensorFlow).. A PhD in Virology, Molecular Biology, Computational Biology, Biology, Biostatistics, Biosecurity, Biodefense, Artificial Intelligence, Computer Science, National Security Policy, Policy Analysis, or similar with at least 3 years of relevant professional experience. Fully remote work will also be considered.
Publish the research results at top-tier conferences and journals in machine learning and robotics. Ph. D. in computer science, robotics, mechanical engineering, electrical engineering, or a related field. Familiarity with deep learning platforms such as TensorFlow and PyTorch. Experience with simulation platforms and engines, such as MuJoCo, PyBullet, IsaacSym, IsaacGym, Unreal Engine. Experience in frameworks and methodologies utilized in building LLM, LVM, and LMM applications.
Familiarity with the AI/ML software stack (e.g. CUDA, PyTorch, TensorFlow, Ray).. A PhD in Computer Science, Computer Engineering, Electrical Engineering, Cybersecurity, Information Security, Information Technology, Mathematics, Applied Mathematics, Physics, Applied Physics, Engineering Physics, Artificial Intelligence, Machine Learning, Engineering and Public Policy, Technology and Policy, National Security Policy, Policy Analysis, Political Science, International Relations, or similar with at least 3 years of relevant professional experience is required. Fully remote work will also be considered. Think Tanks, Research Services, and Non-profit Organizations.. Senior Digital Strategist & UX Researcher
We are seeking an exceptional Founding AI Research Engineer to build our LLM business intelligence evaluation frameworks, and stay at the forefront of AI research, design and execute experiments to evaluate autonomous agents, and develop innovative methodologies to enhance agent performance and capabilities. Design business intelligence LLM evaluation framework from scratch. Continuously evaluate, monitor, review, and synthesize cutting-edge research in artificial intelligence, autonomous agents, and machine learning. Bachelor's/MSc/PhD degree in Computer Science, Engineering, AI, Machine Learning, or a closely related technical field.. Experience in building LLM evaluation for business intelligence use cases and for natural language to SQL/NoSQL.
Sustainability Science and Innovation is a multi-disciplinary team within the WW Sustainability organization that combines science, analytics, economics, statistics, machine learning, product development, and engineering expertise to identify, evaluate and/or develop new science, technologies, and innovations that aim to address long-term sustainability challenges.. In this role, you will leverage your breadth of expertise in data science methodologies, statistical modeling, and scientific programming to analyze complex datasets, build scientific tools, and inform sustainability strategies across carbon, waste, and water management.. Hands-on experience with advanced machine learning techniques (e.g., deep learning, reinforcement learning) and large-scale data processing, demonstrated through successful product deployments. Deep expertise in sustainability-related modeling approaches, such as emissions forecasting, techno-economic modeling, or environmental impact assessment. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
As part of our team, you'll help advance state-of-the-art model capabilities by contributing to core systems, infrastructure, and research.. By applying to this U.S. Mountain View, CA OR Redmond, WA position, you are required to be local to the San Francisco area OR Seattle area and in office 3 days a week.. Bachelor's Degree in Computer Science, Software Engineering, Computer Engineering, Machine Learning, Mathematics, or related STEM fields and 4+ years of experience in coding in languages including, but not limited to, C, C. C#, Rust, Java, or Python. Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 per year.
Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization.. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries.. Conduct objective industry, market, and sub-market analysis, including size, growth estimates, and ecosystem mapping.. Perform strategic analyses, including Porter's Five Forces and core competency alignment.. Expertise in artificial intelligence (AI) and machine learning (ML), including various applications and their relevance to electronic product development.
Responsibilities: Provide training support to ensure operations personnel receive the necessary systems knowledge required to advance their knowledge and comprehension of Artificial Intelligence capabilities/tradecraft, either directly or with the assistance of Artificial Intelligence SME's or Domain Experts Provide insight into current/future course needs and development across the wide spectrum of Artificial Intelligence tradecraft.. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate's scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data.. Our compensation includes other indirect financial components designed to support employees' total well-being, which should be considered when evaluating our competitive benefits package.. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs.. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action layoff, termination, rates of pay, or other forms of compensation and selection of training.
This role requires a robust technical background, excellent communication skills, and the ability to bridge the gap between business need, legal requirements and technical solutions in the context of AI and natural language processing (NLP) technologies.. Stay current with the latest advancements in LLMs, NLP, Deep Learning and ML research, implementing cutting edge techniques and incorporating them into production systems as appropriate. Juris Doctorate (J.D.) a substantial plus. 2+ years of experience in a technical role, such as data science, machine learning engineering, solutions architect or software development (a focus on AI and NLP preferred). Fully Remote: The estimated base salary range for this position is $120,000 to $170,000.
The Kenny/Lengyel laboratory is part of the Department of Obstetrics and Gynecology/ Section of Gynecologic Oncology, studying the biology of ovarian cancer. We use a variety of cutting-edge methods, including spatial proteomics, spatial metabolomics, 3D organotypic cultures of human tissue, spatiotemporal characterization of the immune system, and stable-isotype tracing in patients. The Ovarian Cancer Research Lab at the University of Chicago is seeking a full-time, on-site Clinical Data Scientist/Analyst to support multiple research projects with an emphasis on image analysis and computational pathology and the development of AI-driven data pipelines. Analyze large-scale data (e.g., digital pathology slides) using standard AI/ML libraries (e.g., PyTorch, TensorFlow). Familiarity with machine learning libraries or frameworks such as PyTorch, TensorFlow, experience with image analysis, especially in a biomedical context or even exposure to bioinformatics tools or pipelines would be a plus.
The Senior Data Scientist will execute data science projects across the company with the purpose of solving non-routine business problems by applying advanced methods including artificial intelligence, machine learning, causal inference, advanced statistics, natural language processing and other related techniques.. The role will include the responsibility for designing and building computational models, discovering insights and identifying opportunities through the use of statistical and algorithmic methods (for instance machine learning or GenAI) as well as data visualization techniques.. Highly preferred: BSc, MSc, or PhD degree in Computer Science, Data Science, Machine Learning, or a related field such as natural sciences (Physics, Mathematics, Bioinformatics).. Minimum of 7 years of experience in data science, with expertise in GenAI, especially large language models (LLM).. Strong proficiency in programming languages for data science like Python, and ML libraries/frameworks such as Scikit-learn, TensorFlow or PyTorch.
Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.. General Sales training scheduled by annual program or based on request from channel sales training kits creation. Experience with AI, Deep Learning, Omniverse, Machine Learning, Generative AI, Computer Vision, and Rendering is desired. Supermicro is an Equal Opportunity Employer and embraces diversity in our employee population.. It is the policy of Supermicro to provide equal opportunity to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or special disabled veteran, marital status, pregnancy, genetic information, or any other legally protected status.
Our teams apply business intuition along with a diverse set of methods and algorithms, including but not limited to, statistical inference, machine learning, text mining, process mining, network analysis, and data visualization to improve operations.. We are seeking a Senior Data Scientist/Data Science Manager who will help us lead the way in solving critical business problems and derive valuable insights for our customers.. Demonstrated proficiency in Python, SQL in a professional environment; experience with Java or Kotlin a plus. Skills in data cleaning, natural language processing, machine learning, time series, forecasting, visualization, network analysis, and distributed computing. Ability and willingness to travel from time to time (domestic and international); travel expected to be no more than 10% of time
Our cutting-edge solutions are the driving force behind the testing of ICs that power electronic systems across computing, consumer technology, automotive, Artificial Intelligence (AI), and myriad other applications.. Minimum of 2 years of experience building Analytics Visualization using tools like OAC, Power BI, OBIEE, Tableau. Experience in using Python and relevant libraries for Image Processing: OpenCV, PIL/Pillow, TensorFlow/Keras (for vision-based models), Predictive Analytics - scikit-learn, XGBoost, LightGBM, and Prophet, Document Reading - PyPDF2, pdfplumber, Tesseract OCR, and transformers (e.g., Hugging Face for NLP tasks) is desirable.. Staff Engineer - Finance Data Specialist (Remote) Portland, OR $115,000.00-$260,000.00 2 weeks ago. Senior DGX Cloud AI Infrastructure Software Engineer Sr Software Development Engineer- Remote Senior Staff Engineer - Finance Data Specialist (Remote) Portland, OR $115,000.00-$260,000.00 2 weeks ago