Machine Learning Integration Engineer, Tesla AI

Tesla Motors
Palo Alto, CA, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$140,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Firmware Python (Programming Language) Machine Learning Deep Learning Production Code C++14

Requirements

  • Strong physics and mathematical fundamentals
  • Proficiency in writing production-quality code in Python and experience with any major deep learning framework
  • Proficiency in modern C++ to integrate with vehicle firmware and take projects from ideas to shipped products
  • Experience designing, training, deploying, and evaluating models on an actual physical platform (e.g., robots, drone, etc.)
  • An “under the hood” knowledge of deep learning modern architectures, optimization, quantization, and model alignment
  • Ability to think “out-of-the-box” to push performance beyond apparent limitations
  • Excellent problem-solving, critical thinking, and communication skills

Benefits & conditions

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

  • Medical plans > 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 Accounts) HSA Contribution when enrolled in the High-Deductible 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 (90 day waiting period)
  • Employee Assistance Program
  • Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly 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 - $390,000/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. Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.

About the company

Tesla is building the future of AI systems that operate in the real world where safety, reliability, and performance are non-negotiable. As a Machine Learning Integration Engineer, you’ll be at the forefront of this mission, transforming cutting-edge AI research into deployable, safety-critical systems that power Tesla’s vehicles and humanoid robots.

In this role, you will collaborate closely with vehicle hardware and firmware teams to design, evaluate, and ship multimodal AI-based solutions to improve vehicle systems, safety, and customer experience in challenging scenarios. Your work will ship to millions of vehicles and robots globally, repeatedly, reliably, and at scale.Join us in shaping the future of real-world AI. What You’ll Do

  • Leverage millions of miles of driving data and interventions to build robust and scalable end-to-end learning-based systems
  • Combine multiple data sources, including video, audio, thermal, mechanical, weather, and other sensors to develop and train end-to-end models for control of all vehicle accessories required for autonomous operation
  • Lead a machine learning vertical: define data strategies and labeling pipelines, design network architectures, train models, validate with real-world fleet data, and integrate within Tesla’s AI stack
  • Integrate directly with vehicle firmware and ship production-quality, safety-critical software to the entirety of Tesla’s vehicle fleet
  • Have an outsized impact by shipping your models to millions of Tesla vehicles worldwide

Apply for this position

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Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:33 min

Summary of machine learning capabilities and engineering opportunities

Jan Zawadzki ¡ LIVE

2:19 min

Orchestrating over-the-air firmware updates for vehicle modules

Denis Grahovac ¡ World Congress 2021

1:25 min

Distinguishing artificial intelligence from deep learning

Sam Witteveen ¡ Coffee With Developers

6:28 min

Defining critical competencies for automotive AI engineering

Daniel Graff +1 ¡ World Congress 2021

2:20 min

Utilizing custom firmware for variable torque manipulation

Daniel Meilak Daniel Meilak +1 ¡ World Congress 2026 Europe

2:17 min

Distinguishing between AI, machine learning, and deep learning

Mary Grygleski Mary Grygleski ¡ LIVE

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