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Tesla Machinist Jobs (NOW HIRING)

Use in-house tools to label images for the Tesla AI team * Interact with team members to help us improve on the design of an efficient labeling interface * Gain basic computer vision and machine ...

Use in-house tools to label images for the Tesla AI team * Interact with team members to help us improve on the design of an efficient labeling interface * Gain basic computer vision and machine ...

Use in-house tools to label images for the Tesla AI team * Interact with team members to help us improve on the design of an efficient labeling interface * Gain basic computer vision and machine ...

Use in-house tools to label images for the Tesla AI team * Interact with team members to help us improve on the design of an efficient labeling interface * Gain basic computer vision and machine ...

Excavator Operator, Commercial Self Perform

Sparks, NV · On-site

$23 - $30.50/hr

... Tesla's critical mission * Proven experience as an Excavator Operator or in a similar heavy equipment role * Valid certification or license for operating heavy machinery (as required by local ...

Excavator Operator, Commercial Self Perform

Austin, TX · On-site

$22.25 - $29.50/hr

... Tesla's critical mission * Proven experience as an Excavator Operator or in a similar heavy equipment role * Valid certification or license for operating heavy machinery (as required by local ...

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Tesla Machinist information

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$14

$25

$36

How much do tesla machinist jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for tesla machinist in the United States is $25.63, according to ZipRecruiter salary data. Most workers in this role earn between $20.91 and $28.61 per hour, depending on experience, location, and employer.

What is a Tesla machinist?

Tesla Machinists are skilled technicians who operate, maintain, and program machine tools such as lathes, mills, and grinders to manufacture precision parts for Tesla's vehicles and energy products. They play a crucial role in the production process by ensuring components are made to exact specifications and quality standards. Tesla Machinists often work with advanced equipment, including CNC (Computer Numerical Control) machines, and collaborate with engineers to optimize manufacturing processes. Their work supports Tesla's mission to accelerate the world's transition to sustainable energy by ensuring high-quality parts in every product.

What are the key skills and qualifications needed to thrive as a Tesla machinist?

To thrive as a Tesla Machinist, you need strong mechanical aptitude, precision machining experience, and typically a technical diploma or apprenticeship in machining or manufacturing. Proficiency with CNC machines, CAD/CAM software, precision measurement tools, and possibly certifications like NIMS are essential for daily tasks. Attention to detail, problem-solving skills, and teamwork set outstanding machinists apart in a high-tech, fast-paced environment. These skills and qualities ensure the production of high-quality components critical to Tesla's innovative manufacturing processes and product standards.

What are some typical challenges a Tesla machinist might face in the fast-paced manufacturing environment?

Tesla Machinists often work in a rapid, innovative production setting where adapting to new technologies and processes is essential. Challenges can include working with tight tolerances on advanced materials, keeping up with evolving machinery, and collaborating closely with engineers on prototype components. Additionally, machinists may need to troubleshoot and resolve unexpected issues quickly to minimize production downtime. The environment encourages continuous learning and teamwork, making flexibility and effective communication crucial for success.

What is the difference between Tesla Machinist vs Tesla CNC Operator?

AspectTesla MachinistTesla CNC Operator
Required CredentialsHigh school diploma, machinist certifications, technical trainingHigh school diploma, CNC programming and operation certifications
Work EnvironmentManufacturing floors, machine shops, precision machiningManufacturing floors, CNC machine operation, setup and programming
Industry UsageAutomotive manufacturing, precision parts productionAutomotive manufacturing, automated machining processes
Common Search/ComparisonYesYes

The Tesla Machinist and Tesla CNC Operator roles both involve working with manufacturing equipment in Tesla's production facilities. While machinists focus on manual and precision machining tasks, CNC operators primarily handle computer-controlled machines. Both roles require technical certifications and are integral to Tesla's manufacturing process, often overlapping in work environment and industry usage.

How much do Tesla machinists make?

Tesla machinists typically earn between $20 and $35 per hour, depending on experience, location, and specific responsibilities. The annual salary can range from approximately $40,000 to $70,000, with opportunities for overtime and skill development in a manufacturing environment.
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What cities are hiring for Tesla Machinist jobs?

Cities with the most Tesla Machinist job openings:

What states have the most Tesla Machinist jobs?

States with the most job openings for Tesla Machinist jobs include:

Infographic showing various Tesla Machinist job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 1% Part Time, 2% Contract, and 9% Nights. Highlights an 100% Physical job distribution, with an average salary of $53,313 per year, or $25.6 per hour.

Staff Machine Learning Engineer, AI Infrastructure

Tesla

Palo Alto, CA • On-site

Full-time

Re-posted 16 days ago


Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 689 frontline employees who took The Breakroom Quiz

1st of 45 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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