Senior Machine Learning Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Machine Learning Engineer (AI/ML Infrastructure): Designing and building scalable, high-performance AI/ML platform infrastructure for intelligent driving technologies with an accent on distributed training and resource optimization. Focus on scaling large ML models, maximizing GPU utilization, and improving system observability.
Location: Remote in the US; must report to a GM hub three times a week if living within a specific radius. Willingness to travel to Sunnyvale, CA as needed.
Salary: $170,000 – $240,000
Company
A global automotive leader driving a vision of Zero Crashes, Zero Emissions, and Zero Congestion through intelligent vehicle technologies.
What you will do
- Design and develop scalable, high-performance ML frameworks to support model training at scale.
- Optimize distributed training workflows to maximize resource utilization across heterogeneous hardware and reduce costs.
- Improve system observability, debuggability, and the overall developer experience of the AI platform.
- Collaborate with cross-functional teams to integrate new features and state-of-the-art AI technologies.
Requirements
- Bachelor's degree in Computer Science or equivalent experience.
- 3+ years of professional software engineering experience.
- 2+ years of specialized experience in AI/ML infrastructure, specifically distributed training for large models.
- Strong proficiency in Python and frameworks such as PyTorch or TensorFlow.
- Experience with GPU computing and cloud environments (AWS, GCP, or Azure).
- Must be based in the US or eligible for relocation.
Nice to have
- 5+ years of professional software engineering experience.
- Extensive knowledge of PyTorch 2.x+, FSDP, and Pipeline Parallelism.
- Experience with profiling, debugging, and optimizing training and data loading performance.
Culture & Benefits
- Comprehensive health, dental, and vision plans including HSA and FSA options.
- Retirement savings plan and tuition assistance programs.
- Paid vacation, holidays, and GM vehicle discounts.
- Eligibility for relocation benefits.
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