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Tesla Machine Learning Engineer Jobs (NOW HIRING)

Comprising brilliant engineers and visionaries, the team designs and develops advanced AI inference chips tailored to accelerate Tesla's machine learning capabilities. A key part of this effort is ...

Machine Learning Engineer As a Machine Learning Engineer , you will play a critical role in designing, developing, and deploying advanced machine learning solutions that drive innovation and create ...

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

Machine Learning Engineer - AI Data Trainer * Location: Remote About the job At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models.

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GCP/AWS Machine Learning Engineer Freddie Mac iLab is currently looking for Machine Learning Engineers in its Innovation Labs - Tech Strategy team. In this position, you will be responsible for ...

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Tesla Machine Learning Engineer information

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$31.5K

$128.8K

$193.5K

How much do tesla machine learning engineer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for tesla machine learning engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Tesla Machine Learning Engineer, you need a solid background in computer science, mathematics, and machine learning, often supported by a relevant degree and practical experience with AI models. Proficiency with programming languages like Python or C++, deep learning frameworks such as TensorFlow or PyTorch, and experience with cloud-based computing platforms are typically required. Strong problem-solving abilities, collaboration, and effective communication set top candidates apart in a team-oriented, innovative environment. These skills and qualities are crucial for developing robust AI solutions that drive Tesla's cutting-edge technologies and support its mission of advancing sustainable transport.

What is a Tesla Machine Learning Engineer job?

A Tesla Machine Learning Engineer develops and optimizes AI models for applications such as autonomous driving, manufacturing automation, and energy management. They work with large datasets, train deep learning models, and deploy solutions to improve Tesla’s technologies. The role involves collaboration with software engineers, data scientists, and hardware teams to enhance performance and efficiency. Strong programming skills, proficiency in frameworks like TensorFlow or PyTorch, and experience with real-world machine learning deployment are essential.

What are the most common challenges faced by Tesla Machine Learning Engineers, and how are they addressed?

Tesla Machine Learning Engineers often tackle challenges such as processing large-scale data sets, optimizing models for real-time performance, and accommodating frequent changes in project requirements. These challenges are addressed by leveraging Tesla’s high-performance computing resources, working closely with cross-functional teams—including hardware, software, and data engineering—and continuously iterating on solutions. The collaborative culture at Tesla encourages knowledge sharing and innovative problem-solving, helping engineers adapt quickly. If you're motivated by complex challenges and rapid innovation, you'll find opportunities to learn and grow while making direct impacts on disruptive products.

More about Tesla Machine Learning Engineer jobs
What cities are hiring for Tesla Machine Learning Engineer jobs? Cities with the most Tesla Machine Learning Engineer job openings:
What are the most commonly searched types of Tesla Machine Learning Engineer jobs? The most popular types of Tesla Machine Learning Engineer jobs are:
What states have the most Tesla Machine Learning Engineer jobs? States with the most job openings for Tesla Machine Learning Engineer jobs include:
Infographic showing various Tesla Machine Learning Engineer job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.
ML Modeling Engineer, AI Hardware

ML Modeling Engineer, AI Hardware

Tesla

Palo Alto, CA

$176K - $420K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 663 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers


Job description

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 team designs and develops advanced AI inference chips tailored to accelerate Tesla's machine learning capabilities. A key part of this effort is Dojo, Tesla's custom supercomputer system. The work of Tesla's AI Hardware team powers the neural networks behind Full Self-Driving (FSD), and Tesla humanoid robot, Optimus, pushing the boundaries of computational efficiency and performance. By creating custom silicon and optimized architectures, the team ensures Tesla remains a leader in AI-driven automotive and energy solutions, shaping a future where intelligent machines enhance human life.

As a key member of the Tesla AI hardware team, the AI/ML Modeling Engineer will drive the modeling, and optimization of next-generation tensor compute hardware. This role requires a deep expertise in computer architecture, and proven proficiency in performance modeling and optimization. The ideal candidate has a thorough understanding of AI workloads, and thrives in fast-paced environments, delivering elegant, high-performance solutions that push the boundaries of AI hardware efficiency.

What You'll Do
  • Collaborate closely with system architects, micro architects, ML model designers, and compiler engineers to create highly efficient hardware designs on accelerated timelines
  • Develop and validate sophisticated performance models to evaluate architecture and microarchitecture tradeoffs, guiding informed decision-making
  • Define comprehensive workload suites and key performance metrics to benchmark and evaluate hardware capabilities
  • Analyze and assess implementations of machine learning algorithms on Tesla AI hardware, identifying bottlenecks and opportunities for improvement
  • Participate in hardware/software co-design efforts to align future hardware capabilities with evolving algorithmic demands
  • Contribute to code reviews, testing, and debugging processes to maintain exceptional code quality and reliability
  • Stay abreast of cutting-edge advancements in AI workloads, domain-specific languages, computer architecture, and simulation methodologies to inform strategic directions

What You'll Bring
  • Degree in Engineering, Computer Science, or a related field, or equivalent practical experience demonstrating exceptional ability
  • In-depth knowledge of Large Language Models (LLMs), transformer architectures, including their training, inference processes, and optimization techniques
  • Strong expertise in CPU, GPU, and/or ML accelerator microarchitectures, with hands-on experience in performance characterization
  • Proficiency with deep learning frameworks such as PyTorch, JAX, Pallas, or similar tools
  • Robust programming skills in C/C++, Python, or other relevant languages
  • Solid understanding of physical design constraints, including power, performance, and area (PPA) tradeoffs in hardware development
  • Exceptional problem-solving abilities, capable of dissecting complex issues and devising innovative, practical solutions
  • Excellent communication and interpersonal skills, fostering effective collaboration across teams, including leadership and engineering stakeholders
  • Demonstrated experience in performance analysis, including the use of simulation frameworks and profiling tools

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 $176,000 - $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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