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Senior Manager, Machine Learning Engineering. As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to. Mgr, Machine Learning Engineering. ...
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Lead Engineer, Generative AI Infrastructure to help us build the foundations of our AI capabilities. Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries.
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Shiftcode Analytics, IncNew York
MACHINE LEARNING ENGINEER
LONG TERM CONTRACT
NEW YORK CITY, NEW YORK
100% REMOTE ROLE
VISA- USC/GC ONLY
Requirement:
Machine Learning Engineer with over 5 years of experience and expertise in building Client models with Python.
MLOps...
RoktNew York
for a Senior Machine Learning Engineer
Compensation: $190,000 - $300,000 salary (including superannuation), employee equity plan grant & world class benefits.
About Rokt'stars
As a mission-driven, hyper-growth community of curious explorers, our ambition...
Capital OneAlbany
Center 1 (19052), United States of America, McLean, Virginia
Senior Manager, Technical Program Manager - Machine Learning
Are you interested in leading programs that deliver on critical business goals and build large scale products & platforms...
Capital OnePoughkeepsie (NY)
Center 1 (19052), United States of America, McLean, Virginia
Senior Machine Learning Engineer
As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems...
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Machine Learning Specialist
Applied Physics | New York | www.resume-library.com |
Applied Physics is seeking a highly motivated and skilled professional to join our Machine Learning team at the Advanced Propulsion Laboratory at Applied Physics. In this role, you will have the opportunity to work on cutting-edge research in new and emerging fields.
Responsibilities:
Conduct research on state-of-the-art Machine Learning algorithms relevant to the problem being addressed.
Implement, train, and validate proposed algorithms for specific problem domains.
Contribute to the integration of algorithms within larger programmatic systems that require these capabilities.
Collaborate with others in a multidisciplinary team environment to accomplish research goals.
Pursue both independent and collaborative research interests and interact with a broad spectrum of scientists internally and externally to the Laboratory.
Publish research results in peer-reviewed scientific journals and present results at conferences, seminars, and meetings.
Travel as required to coordinate research with collaborators and visit field sites.
Requirements
PhD in Computer Science, Computational Engineering, Applied Statistics, Applied Mathematics, or another technical discipline providing an underlying skillset in data analysis and Machine Learning techniques.
Fundamental knowledge of and/or experience developing and applying algorithms in one or more of the following Machine Learning areas/tasks: deep learning, representation learning, zero- or few-shot learning, active learning, reinforcement learning, natural language processing, ensemble methods, statistical modeling and inference (e.g., probabilistic graphical models, Gaussian processes, or nonparametric Bayesian methods).
Experience in the broad application of one or more higher-level programming languages such as Python, Java, Scala, or C/C++.
Experience with one or more deep learning libraries such as PyTorch, TensorFlow, Keras, or Caffe.
Proven ability to undertake original research and communicate findings in peer-reviewed publications.
Experience working with a multidisciplinary team of scientists, engineers, and project managers to develop and apply these capabilities to inform engineering decisions.
Proficient verbal and written communication skills to collaborate effectively in a team environment and present and explain technical information.
Benefits
We offer a competitive salary and benefits package, flexible work hours, and opportunities for growth and career development. Join our dynamic and passionate team and help us make a positive impact on the world.
If you are a talented, motivated, and empathetic individual who shares our passion for making a difference, we encourage you to apply for this exciting opportunity to work with our team at Applied Physics. Applied Physics is an equal opportunity employer.
Responsibilities:
Conduct research on state-of-the-art Machine Learning algorithms relevant to the problem being addressed.
Implement, train, and validate proposed algorithms for specific problem domains.
Contribute to the integration of algorithms within larger programmatic systems that require these capabilities.
Collaborate with others in a multidisciplinary team environment to accomplish research goals.
Pursue both independent and collaborative research interests and interact with a broad spectrum of scientists internally and externally to the Laboratory.
Publish research results in peer-reviewed scientific journals and present results at conferences, seminars, and meetings.
Travel as required to coordinate research with collaborators and visit field sites.
Requirements
PhD in Computer Science, Computational Engineering, Applied Statistics, Applied Mathematics, or another technical discipline providing an underlying skillset in data analysis and Machine Learning techniques.
Fundamental knowledge of and/or experience developing and applying algorithms in one or more of the following Machine Learning areas/tasks: deep learning, representation learning, zero- or few-shot learning, active learning, reinforcement learning, natural language processing, ensemble methods, statistical modeling and inference (e.g., probabilistic graphical models, Gaussian processes, or nonparametric Bayesian methods).
Experience in the broad application of one or more higher-level programming languages such as Python, Java, Scala, or C/C++.
Experience with one or more deep learning libraries such as PyTorch, TensorFlow, Keras, or Caffe.
Proven ability to undertake original research and communicate findings in peer-reviewed publications.
Experience working with a multidisciplinary team of scientists, engineers, and project managers to develop and apply these capabilities to inform engineering decisions.
Proficient verbal and written communication skills to collaborate effectively in a team environment and present and explain technical information.
Benefits
We offer a competitive salary and benefits package, flexible work hours, and opportunities for growth and career development. Join our dynamic and passionate team and help us make a positive impact on the world.
If you are a talented, motivated, and empathetic individual who shares our passion for making a difference, we encourage you to apply for this exciting opportunity to work with our team at Applied Physics. Applied Physics is an equal opportunity employer.
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