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Tesla Ai Jobs (NOW HIRING)

What to Expect As an Autonomy Camera Software Engineer, you will work at the intersection of embedded systems, computer vision, and AI to drive the development of Tesla's imaging pipeline. Your ...

What to Expect The Tesla AI Hardware team is at the forefront of revolutionizing artificial intelligence through cutting-edge hardware innovation. Comprising brilliant engineers and visionaries, the ...

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How much do tesla ai jobs pay per year?

As of Jun 9, 2026, the average yearly pay for tesla ai in the United States is $108,329.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,500.00 and $148,500.00 per year, depending on experience, location, and employer.

How much does a Tesla AI engineer make?

Tesla AI engineers typically earn between $100,000 and $160,000 annually, depending on experience, location, and specific role responsibilities. Compensation may also include bonuses, stock options, and benefits, with advanced skills in machine learning, deep learning, and programming being highly valued.

What is a Tesla AI job?

A Tesla AI job involves working on artificial intelligence and machine learning technologies to advance Tesla's autonomous driving, robotics, and energy solutions. Employees in these roles develop and optimize neural networks, perception models, and AI-driven decision-making systems. Tesla AI engineers typically work on projects like the Full Self-Driving (FSD) software, Tesla Bot, and AI-powered manufacturing processes. These roles require expertise in deep learning, computer vision, reinforcement learning, and large-scale data processing.

What are the key skills and qualifications needed to thrive in the Tesla Ai position, and why are they important?

To thrive as a Tesla AI professional, you need advanced expertise in machine learning, deep learning, computer vision, and data analysis, typically supported by a degree in computer science, engineering, or a related discipline. Familiarity with frameworks like TensorFlow or PyTorch, experience in large-scale neural network training, and proficiency with software development tools are commonly required. Strong problem-solving abilities, creativity, and effective communication skills are important for collaborating within multidisciplinary teams and innovating in fast-paced environments. These capabilities are crucial for developing autonomous systems and AI-driven solutions that power Tesla's products and set industry standards.

What is the typical team structure and work environment for Tesla AI roles?

Tesla AI professionals typically work within collaborative, cross-functional teams composed of experts in software engineering, robotics, data science, and hardware design. The environment is fast-paced and innovation-driven, with frequent opportunities to participate in brainstorming sessions, peer code reviews, and cutting-edge research initiatives. You may be expected to work closely with product managers and engineers from other departments to integrate AI solutions directly into Tesla's vehicles and services. This dynamic structure fosters rapid skill development and encourages employees to take ownership of projects, helping to accelerate both personal and professional growth.

More about Tesla Ai jobs
What cities are hiring for Tesla Ai jobs? Cities with the most Tesla Ai job openings:
What are the most commonly searched types of Tesla Ai jobs? The most popular types of Tesla Ai jobs are:
What states have the most Tesla Ai jobs? States with the most job openings for Tesla Ai jobs include:
Infographic showing various Tesla Ai job openings in the United States as of June 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $108,329 per year, or $52.1 per hour.
Machine Learning Integration Engineer, Tesla AI

Machine Learning Integration Engineer, Tesla AI

Tesla

Palo Alto, CA

$140K - $390K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 662 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers


Job description

What to Expect

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

What You'll Bring
  • 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

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:

  • 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.


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