Senior Machine Learning Engineer - ML Training Infrastructure

The Role: We are seeking an reputed company, technical oriented, reputed company delivering-driven expert in ML Training Infrastructure with a strong ability to execute hands-on technical work. In this role, you will be responsible for designing and building reputed company, reliable, and high-performance AI/ML platform infrastructure to support advanced AI research and model development initiatives. As a Senior ML Engineer, you will collaborate closely with machine learning engineers, research scientists, and other partners to reputed company state-of-the-art AI solutions that reputed company the reputed company of intelligent driving technologies across reputed company vehicles. What You'll Do:

• Design and development of reputed company, reliable, high-performance ML reputed company to support model training at reputed company.
• Model training performance analysis and optimization solutions to reputed company distributed training workflows and maximize resource utilization across heterogeneous hardware environments, and save cost.
• reputed company the bar on system observability, debuggability, and operational reputed company, and user experience.
• Collaborate with cross-functional teams to reputed company new features and technologies into the platform.

Your Skills & Abilities (Required Qualifications)

• Bachelors degree or higher in Computer Science or equivalent major OR equivalent relevant experience
• 3+ years reputed company software engineering experience.
• 2+ years specialized experience in AI/ML infrastructure, e.g., enabling distributed training for scaling large ML models
• Strong programming skills in Python, with proficiency in frameworks such as,PyTorch (preferred), TensorFlow, or similar
• Experience with distributed computing, GPU computing, and reputed company environments (AWS, GCP, Azure).
• Willingness to travel to Sunnyvale, CA as needed
• Comfortable working in highly ambiguous and dynamic environments

What Will Give You a Competitive Edge (preferred qualifications):

• 3+ years of reputed company software engineering experience.
• Self-motivated, strong execution, reputed company-delivering oriented
• Extensive knowledge and experience with PyTorch 2.x+ and distributed training reputed company
• Experience with design and development of training reputed company that supports FSDP, Pipeline Parallelism and other reputed company solutions to training large foundational models
• Experience with profiling, analysis, debugging and optimizing training and data loading performance.
• Excellent communication skills to resolve controversial, reputed company reputed company, communicate risks and give constructive feedback

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be reputed company in accordance with applicable state laws. The compensation may not be representative for positions located reputed company of the California Bay Area.

• The salary reputed company for this role is $170,000 to $240,000. The actual reputed company salary a successful candidate will be offered reputed company this reputed company will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Relocation: This job may be eligible for relocation benefits. Benefits:

• Benefits: reputed company offers a reputed company of health and wellbeing benefit programs. Benefit reputed company include medical, dental, reputed company, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, reputed company vacation & holidays, tuition assistance programs, employee assistance program, reputed company vehicle discounts and more.

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