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 ...
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 ...
Tesla is seeking a highly skilled Machine Learning Engineer to join the Supply Chain Engineering team. The role involves designing, developing, and deploying machine learning models to enhance supply ...
Tesla is seeking a highly skilled Machine Learning Engineer to join the Supply Chain Engineering team. The role involves designing, developing, and deploying machine learning models to enhance supply ...
Machine Learning Integration Engineer, Tesla AI
Palo Alto, CA · On-site
$122K - $164K/yr
As a Machine Learning Integration Engineer, you'll transform cutting-edge AI research into deployable, safety-critical systems that power Tesla's vehicles and humanoid robots, collaborating closely ...
Machine Learning Integration Engineer, Tesla AI
Palo Alto, CA · On-site
$122K - $164K/yr
As a Machine Learning Integration Engineer, you'll transform cutting-edge AI research into deployable, safety-critical systems that power Tesla's vehicles and humanoid robots, collaborating closely ...
Sr. Machine Learning Engineer, Network Engineering
Fremont, CA · On-site
$114K - $156K/yr
Tesla is seeking a highly skilled Senior Machine Learning Engineer to lead the development of a platform that integrates large scale LLM training with advanced network data processing and intelligent ...
Sr. Machine Learning Engineer, Network Engineering
Fremont, CA · On-site
$114K - $156K/yr
Tesla is seeking a highly skilled Senior Machine Learning Engineer to lead the development of a platform that integrates large scale LLM training with advanced network data processing and intelligent ...
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 ...
Quick apply
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 ...
Machine Learning Engineer
Fort George G Meade, MD · On-site
$120 - $180/hr
Machine Learning Engineer Location: Fort Meade, MD Required Clearance : TS/SCI w/ Full-Scope Poly Salary: Competitive We are seeking a highly skilled and motivated Machine Learning Engineer to join ...
Machine Learning Engineer
Fort George G Meade, MD · On-site
$120 - $180/hr
Machine Learning Engineer Location: Fort Meade, MD Required Clearance : TS/SCI w/ Full-Scope Poly Salary: Competitive We are seeking a highly skilled and motivated Machine Learning Engineer to join ...
Machine Learning Engineer Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing infrastructure and ...
Machine Learning Engineer Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing infrastructure and ...
Machine Learning Engineer
Schaumburg, IL · On-site
Machine Learning Engineer Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing infrastructure and ...
Quick apply
Machine Learning Engineer
Schaumburg, IL · On-site
Machine Learning Engineer Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing infrastructure and ...
We seek Machine Learning Engineer | Data Management & Business Intelligence - Predictive Workforce Analytics [NSF0117117] candidates with relevant Government And Public Services Sector Experience ...
We seek Machine Learning Engineer | Data Management & Business Intelligence - Predictive Workforce Analytics [NSF0117117] candidates with relevant Government And Public Services Sector Experience ...
The Machine Learning Engineer will develop and optimize machine learning models to enhance healthcare operations and collaborate with cross-functional teams to integrate solutions into existing ...
The Machine Learning Engineer will develop and optimize machine learning models to enhance healthcare operations and collaborate with cross-functional teams to integrate solutions into existing ...
ProSidian.com ProSidian Seeks a Machine Learning Engineer | Data Management & Business Intelligence - Data Scientist Support [NSF0112112] for Program Support on a Exempt W2: No Overtime Pay Basis ...
ProSidian.com ProSidian Seeks a Machine Learning Engineer | Data Management & Business Intelligence - Data Scientist Support [NSF0112112] for Program Support on a Exempt W2: No Overtime Pay Basis ...
Machine Learning Engineer
Carlsbad, CA · On-site
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
Carlsbad, CA · On-site
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 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 ...
Job Summary We are seeking an experienced Machine Learning Engineer with strong hands-on expertise in building, training, deploying, monitoring, and maintaining production machine learning models.
Job Summary We are seeking an experienced Machine Learning Engineer with strong hands-on expertise in building, training, deploying, monitoring, and maintaining production machine learning models.
Machine Learning Engineer Location: 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 ...
Machine Learning Engineer Location: 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 ...
Machine Learning Engineer
Minneapolis, MN · On-site
$130 - $170/hr
We are adding a Machine Learning Engineer to our team! This person will play a key role in designing, implementing, and deploying machine learning models to solve complex problems and enhance our ...
Machine Learning Engineer
Minneapolis, MN · On-site
$130 - $170/hr
We are adding a Machine Learning Engineer to our team! This person will play a key role in designing, implementing, and deploying machine learning models to solve complex problems and enhance our ...
Machine Learning Engineer
Minneapolis, MN · On-site
We are adding a Machine Learning Engineer to our team! This person will play a key role in designing, implementing, and deploying machine learning models to solve complex problems and enhance our ...
Machine Learning Engineer
Minneapolis, MN · On-site
We are adding a Machine Learning Engineer to our team! This person will play a key role in designing, implementing, and deploying machine learning models to solve complex problems and enhance our ...
Machine Learning Engineer Remote with occasional travel to Silver Spring, MD About @Orchard: @Orchard is a growing Woman-Owned Small Business and federal prime contractor delivering mission-critical ...
Machine Learning Engineer Remote with occasional travel to Silver Spring, MD About @Orchard: @Orchard is a growing Woman-Owned Small Business and federal prime contractor delivering mission-critical ...
We are adding a Machine Learning Engineer to our team! This person will play a key role in designing, implementing, and deploying machine learning models to solve complex problems and enhance our ...
We are adding a Machine Learning Engineer to our team! This person will play a key role in designing, implementing, and deploying machine learning models to solve complex problems and enhance our ...
Machine Learning Engineer
Los Angeles, CA · On-site
They are seeking a Machine Learning Engineer to develop solutions that enhance performance in wireless communication systems, impacting products and services that utilize signal processing technology.
Machine Learning Engineer
Los Angeles, CA · On-site
They are seeking a Machine Learning Engineer to develop solutions that enhance performance in wireless communication systems, impacting products and services that utilize signal processing technology.
Tesla Machine Learning Engineer information
See salary details
$31.5K - $46.2K
1% of jobs
$46.2K - $61K
1% of jobs
$61K - $75.7K
5% of jobs
$75.7K - $90.4K
6% of jobs
$102.6K is the 25th percentile. Wages below this are outliers.
$90.4K - $105.1K
14% of jobs
$105.1K - $119.9K
14% of jobs
The median wage is $127.2K / yr.
$119.9K - $134.6K
18% of jobs
$134.6K - $149.3K
14% of jobs
$152.3K is the 75th percentile. Wages above this are outliers.
$149.3K - $164K
12% of jobs
$164K - $178.8K
11% of jobs
$178.8K - $193.5K
5% of jobs
$31.5K
$128.8K
$193.5K
How much do tesla machine learning engineer jobs pay per year?
As of Aug 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 is a Tesla machine learning engineer?
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 key skills and qualifications needed to thrive as a Tesla machine learning engineer?
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 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.
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The most popular types of Tesla Machine Learning Engineer jobs are:
What job categories do people searching Tesla Machine Learning Engineer jobs look for?
The top searched job categories for Tesla Machine Learning Engineer jobs are:
- International Machine Learning Engineer
- Machine Learning Algorithms
- Founding Machine Learning Engineer
- Machine Learning Ops Engineer
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Full-time
Re-posted 3 days ago
Tesla rating
8.5
Based on 682 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.
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.