- Argonne National Laboratory (Lemont, IL)
- …This position offers the opportunity to work at the intersection of machine learning , privacy technologies, and high-performance computing (HPC) while ... NumPy, PyTorch, TensorFlow). + Strong aptitude for developing and evaluating machine learning models, including hands-on experience implementing algorithms for… more
- Memorial Sloan-Kettering Cancer Center (New York, NY)
- …on to pursue?our mission?at MSK and around the globe. Exciting Opportunity at MSK: ** Machine Learning Scientist - Digital Pathology and Medicine** Machine ... who thrive on innovation, cross-functional collaboration, and advancing the boundaries of machine learning in healthcare. **Role Overview** + Design and deploy… more
- Carnegie Mellon University (Moffett Field, CA)
- …solutions that create value for real people. Carnegie Mellon University's Introduction to Machine Learning course is looking for a Teaching Assistant (TA) who ... Carnegie Mellon University is a private, global research university that stands among the world's most...path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning , and a whole lot of robots, CMU doesn't… more
- National Renewable Energy Laboratory (Boulder, CO)
- **Posting Title** Graduate Intern - Machine Learning - Solar Forecasting . **Location** CO - Golden . **Position Type** Intern (Fixed Term) . **Hours Per Week** ... Colorado is the nation's primary laboratory for energy systems research and development. Join the National Laboratory of the...for a full-time graduate engineering intern with experience in machine learning , time series forecasting, and solar… more
- Micron Technology, Inc. (Richardson, TX)
- …the world to learn, communicate and advance faster than ever. As a machine learning engineering intern in Micron's Storage and Memory Systems pathfinding ... role. In this role, you will analyze the impacts of emerging AI and machine learning (ML) technologies on next-generation compute and memory systems, and apply… more
- ExxonMobil (Spring, TX)
- …products at scale to deliver value to customers on a reproducible way. The Machine Learning Engineer role leads and coordinates work efforts to apply technical ... and user interface development in partnership with Data Scientist and business units. Machine Learning Engineer also identifies effective design for new Data… more
- Argonne National Laboratory (Lemont, IL)
- …accelerator science and technology. The focus is on developing and applying machine learning (ML) methods for accelerator operations and beam-dynamics ... field + Demonstrated experience or strong interest in artificial intelligence and machine learning , particularly for control applications + Proficiency in Python… more
- Argonne National Laboratory (Lemont, IL)
- …invites applications for a postdoctoral research associate position to conduct research in machine learning (ML) for applications in High-Energy ... filled. Complete applications must include: + Curriculum vitae + A description of research interests + Arrange for three letters of recommendation to ###@anl.gov For… more
- National Renewable Energy Laboratory (Golden, CO)
- …enzyme activities and conduct directed evolution, structure-guided protein engineering, and machine learning -guided protein engineering studies to improve enzyme ... **Posting Title** Postdoctoral Researcher - Enzyme engineering for cell-free systems ....Colorado is the nation's primary laboratory for energy systems research and development. Join the National Laboratory of the… more
- Carnegie Mellon University (Pittsburgh, PA)
- …preferably with a knowledge of information/coding theory and theoretical machine learning . The candidate will write research papers, and may mentor younger ... theory and methods at the intersection of statistics and machine learning . The Department augments all these...welcome applicants from **all** areas of statistics. The postdoctoral researcher will pursue research with a faculty… more
- Carnegie Mellon University (Pittsburgh, PA)
- …perform analysis on large quantitative datasets; develop and implement statistical or machine learning models to recover patterns of technology adoption, task ... path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning , and a whole lot of robots, CMU doesn't...Technology Initiative at CMU is looking for a Post-Doctoral researcher to advance an analytic research program… more
- Carnegie Mellon University (Pittsburgh, PA)
- …Engine). + General understanding and experience in artificial intelligence and machine learning ?and using artificial intelligence to support reverse engineering ... an applicant for the role of a Reverse Engineer Researcher for the Threat Analysis directorate. The SEI is...Threat Analysis directorate. The SEI is a federally funded research and development center at Carnegie Mellon University.?? ?What… more
- Carnegie Mellon University (Pittsburgh, PA)
- …Engine). + General understanding and experience in artificial intelligence and machine learning ?and using artificial intelligence to support reverse engineering ... an applicant for the role of a Reverse Engineer Researcher for the Threat Analysis directorate. The SEI is...Threat Analysis directorate. The SEI is a federally funded research and development center at Carnegie Mellon University.?? ?What… more
- Stanford Health Care (Palo Alto, CA)
- …lifecycle of building models from healthcare data. + Train, develop, and validate researcher -built or vendor provided machine learning algorithms on hospital ... care solutions in the areas of patient care, medical research and administrative services. This group is designed to...designed to bring Artificial Intelligence (AI), and other emerging machine learning (ML) based innovations in data… more
- Argonne National Laboratory (Lemont, IL)
- …therapeutic strategies targeting IDPs + Collaborate on the development of open-source machine learning tools to support these therapeutic designs + Work ... researcher to conduct cutting-edge computational and systems biology research . The primary focus of this role will be...and possess strong writing skills + Gain experience developing machine learning models at a world-class high-performance… more
- PRGX (Atlanta, GA)
- …to model training, evaluation, and deployment. . Stay up-to-date with the latest research and developments in machine learning and artificial intelligence ... about PRGX, visit www.prgx.com. Job Duties & Responsibilities . Apply machine learning algorithms and statistical models to large datasets to identify trends,… more
- FM (Johnston, RI)
- …FM using new technologies. You will develop and apply statistics, artificial intelligence, machine learning , and deep learning to various business problems ... the development and evaluation of real-world, large-scale problems using artificial intelligence/ machine learning with minimal or limited supervision. Your… more
- Home Depot (Atlanta, GA)
- …and Execution Systems (WMS/WES). By leveraging deep expertise in applied AI, machine learning , and algorithmic optimization, they will drive the creation ... sources + Mastery of Python and experience with advanced machine learning frameworks (such as TensorFlow, PyTorch,...deployment of AI applications + Knowledge of the latest research and trends in warehouse AI: reinforcement learning… more
- Mission Support and Test Services (North Las Vegas, NV)
- …simulations; compare to experimental data and iterate designs. + Apply targeted Machine Learning to speed up tuning, improve diagnostics insights, and ... od design and test readiness reviews; mentor team. + Lead a small Machine Learning deployment tied to an experiment; establish validation/rollback. + Maintain… more
- Stanford Health Care (Palo Alto, CA)
- …decisions. Elucidating these requirements will require training, developing, and validating researcher -built or vendor provided machine learning algorithms ... care solutions in the areas of patient care, medical research and administrative services. This group is designed to...designed to bring Artificial Intelligence (AI) and other emerging machine learning (ML) based innovations in data… more
