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AI Engineer, Multimodal Training & Data Infrastructure, Tesla AI
AI Engineer, Multimodal Training & Data Infrastructure, Tesla AITesla • Palo Alto, CA, United States
AI Engineer, Multimodal Training & Data Infrastructure, Tesla AI

AI Engineer, Multimodal Training & Data Infrastructure, Tesla AI

Tesla • Palo Alto, CA, United States
2 days ago
Job type
  • Full-time
Job description

What to Expect Scaling transformers, as well as more recent advances in Reinforcement Learning with Verifiable Rewards (RLVR), has created models with PhD level intelligence in a wide variety of subject areas - from Math to Social Sciences. Yet these models continue to struggle in real-world physical reasoning, often struggling to tell left from right.

At Tesla AI, we want to develop Olympiad-level physical intelligence that will enable highly capable robots, both wheeled and legged. These models should be able to anticipate and reason about future movements of any object or scene at the level of a race car driver or professional athlete. To accomplish this, you will have access to petabytes of multimodal (video, audio, action etc.) real-world data from our global fleet of cars and robots, as well as Tesla's state-of-the-art compute resources.

In this role, you will architect the training and data infrastructure necessary to train these large multimodal models.

What You'll Do

  • Architect data ingestion systems from fleet logging to scalable storage
  • Build distributed dataloaders and orchestration tools (e.g., Kubernetes, Ray) to utilize tens of thousands of GPUs
  • Automate dataset management, including versioning and lineage, to facilitate rapid, safe experimentation
  • Profile and speed up model training
  • Build fault tolerant training infrastructure

What You'll Bring

  • Expertise in large-scale data systems
  • Strong programming fundamentals in languages such as Python, C++, or Go for infrastructure tools
  • Knowledge of GPU ecosystems, including networking fabrics and scheduling
  • Deep understanding of large model training infrastructure
  • Strong expertise in distributed computing and parallel processing techniques
  • Demonstrated ability to work collaboratively in a cross-functional team environment
  • Compensation and Benefits Benefits

    Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire :

  • Aetna PPO and HSA plans >
  • 2 medical plan options with $0 payroll deduction

  • Family-building, fertility, adoption and surrogacy benefits
  • Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
  • Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA
  • Healthcare and Dependent Care Flexible Spending Accounts (FSA)
  • 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
  • Company paid Basic Life, AD&D, short-term and long-term disability insurance
  • Employee Assistance Program
  • Sick and Vacation time (Flex time for salary positions), and Paid Holidays
  • Back-up childcare and parenting support resources
  • Voluntary benefits to include : critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
  • Weight Loss and Tobacco Cessation Programs
  • Tesla Babies program
  • Commuter benefits
  • Employee discounts and perks program
  • Expected Compensation $140,000 - $420,000 / annual salary + cash and stock awards + benefits

    Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

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    Engineer Data Infrastructure • Palo Alto, CA, United States

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