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Full Time Tesla Machine Learning Engineer Jobs (NOW HIRING)

Job Type Full-time Description Paylocity is an award-winning provider of cloud-based HR and payroll ... Machine Learning Engineer Position Overview Paylocity is growing its Machine Learning Engineering ...

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 ...

We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...

Health insurance Machine Learning Engineer 100% Remote We are seeking a highly skilled Machine Learning Engineer to design, develop, deploy, and maintain scalable machine learning solutions that ...

Detroit, MI- Onsite Type: Full-time Security Clearance: No clearance required, must be clearable. The Machine Learning Engineer will be an essential member of the Research and Development Team, where ...

Machine Learning Engineer Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing infrastructure and ...

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Full Time Tesla Machine Learning Engineer information

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$31.5K

$128.8K

$193.5K

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

As of Jun 20, 2026, the average yearly pay for full time 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 is the difference between Full Time Tesla Machine Learning Engineer vs Full Time Tesla Data Scientist?

AspectFull Time Tesla Machine Learning EngineerFull Time Tesla Data Scientist
Required CredentialsBachelor's or Master's in CS, ML, or related field; experience with ML frameworksBachelor's or Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models for autonomous driving, energy, and manufacturingAnalyzes data to inform business decisions, optimize processes
Employer & Industry UsageTesla's AI and autonomous vehicle teamsTesla's data analytics and business intelligence teams

While both roles require strong technical skills and experience with data, Tesla Machine Learning Engineers focus on developing and deploying ML models for autonomous systems, whereas Tesla Data Scientists analyze data to support strategic decisions. The roles overlap in skills but differ in application and focus.

More about Full Time Tesla Machine Learning Engineer jobs
What cities are hiring for Full Time Tesla Machine Learning Engineer jobs? Cities with the most Full Time 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 Full Time Tesla Machine Learning Engineer jobs? States with the most job openings for Full Time Tesla Machine Learning Engineer jobs include:
Infographic showing various Full Time 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% Part Time. 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.
Staff Machine Learning Engineer, AI Infrastructure

Staff Machine Learning Engineer, AI Infrastructure

Tesla

Palo Alto, CA • On-site

Full-time

Posted 3 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

Job Summary:
Tesla is seeking a Staff Machine Learning Engineer for its Bottle Rocket team to develop innovative, data-driven solutions on Tesla’s generative AI platform. The role involves leveraging machine learning models and deep learning techniques to solve complex problems, collaborating with cross-functional teams, and translating research concepts into scalable data products.
Responsibilities:
• Design, develop, train, and deploy machine learning solutions that leverage generative AI technologies, such as Large Language Models (LLMs)
• Analyze and improve the accuracy, efficiency, and scalability of AI models through rigorous data-driven experimentation, evaluation, and iterative model training processes
• Work closely with software engineers to productionize machine learning models and integrate them into scalable, reliable systems
• Optimize data pipelines and workflows to enable high-performance AI applications, leveraging specialized hardware when appropriate
• Deliver robust, high-impact data products that inform decision-making and enhance the capabilities of the generative AI platform
• Conduct research and remain up-to-date on the latest developments in AI/ML, with a special focus on generative AI, to rapidly test and prototype new ideas
• Convert complex business requirements and research findings into actionable insights and data-driven solutions
Qualifications:
Required:
• Proven experience in applying machine learning and AI techniques to solve real-world problems, particularly with generative AI and LLMs
• Strong proficiency with Python-based machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch, JAX, TGI/vLLM, NumPy)
• Demonstrated ability to take research prototypes and deploy them as scalable, production-grade systems
• Expertise in working with and optimizing large datasets, data pipelines, and AI models
• Experience building robust, reliable solutions that minimize downtime and maximize user impact
• A problem-solving mindset, with strong attention to detail and a true follower of Occam's razor when designing and implementing solutions
Company:
Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a team of 10001+ employees. The company is currently Late Stage.

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Hours and flexibility

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