Description
We are seeking a highly skilled AI/ML Platform Engineer to join our team. In this role, you will be responsible for designing, developing, and maintaining our AI/ML platform infrastructure. You will work closely with data scientists, machine learning engineers, and software developers to enhance our platform's capabilities for training complex models on large datasets efficiently. Your contributions will directly impact our ability to scale and deploy cutting-edge AI solutions.Foundational AI/ML platform functionality development such as designing and developing scalable infrastructure to support training of machine learning models on large datasets.Implementing mechanisms to monitor and manage resource utilization across multi-GPU on-prem and cloud environments.Enhance machine learning platform abstractions and APIs to improve usability and productivity for data scientists and engineers.Develop and maintain tools for model versioning, experiment tracking, and reproducibility.Collaborate with cross-functional teams to integrate new features and technologies into the platform.
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Additional Description
Bachelors or higher degree in Computer Science or equivalent major8+ years professional software engineering experience3+ years specialized experience in AI/ML infrastructure, e.g., enabling distributed training for scaling large ML modelsStrong programming skills in Python, with proficiency in frameworks such as TensorFlow, PyTorch, or similarExperience with distributed computing, GPU computing, and cloud environments (AWS, GCP, Azure).Willingness to travel to Mountain View as neededComfortable working in highly ambiguous and dynamic environmentsThis role is categorized as hybrid. This means the successful candidate is expected to report to Mountain View three times per week, at minimum.The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.The salary range for this role is $225,000 and $334,800. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.An incentive pay program offers payouts based on company performance, job level, and individual performance.
About GM
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Why Join Us
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Diversity Information
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire
Equal Employment Opportunity Statement (U.S.)
General Motors is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Accommodations (U.S. and Canada)
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