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Tesla Machinist Jobs (NOW HIRING)

Tacit

Machine Learning Scientist

San Francisco, CA · On-site

$180K - $270K/yr

... Tesla. While we can't reveal too much just yet, our team is tackling cutting-edge engineering ... About the role As a Machine Learning Scientist , you will develop cutting-edge AI models to ...

Total Recon Auto Center

A-Level Tech

Rockville, MD · On-site

$30 - $35/hr

We're talking state-of-the-art tools, Tesla-specific repair protocols, and a crew of serious techs ... working around machinery, and automotive fluids. The environment can be noisy and fast paced ...

Total Recon Auto Center

A-Level Tech

Rockville, MD · On-site

$30 - $35/hr

We're talking state-of-the-art tools, Tesla-specific repair protocols, and a crew of serious techs ... working around machinery, and automotive fluids. The environment can be noisy and fast paced ...

Total Recon

A-Level Tech

Rockville, MD · On-site

$30 - $35/hr

We're talking state-of-the-art tools, Tesla-specific repair protocols, and a crew of serious techs ... working around machinery, and automotive fluids. The environment can be noisy and fast paced ...

Radiology Partners

Neuroradiologist

Boca Raton, FL · On-site

$400K - $1M/yr

This position offers the opportunity to work with state-of-the-art technology, including seven 3.0 Tesla MRI machines, and contribute to a high-volume MSK section. The ideal candidate will possess ...

SunVena

Service Technician

Tampa, FL · On-site

... machine repairs, install and test products, and instruct customers on proper usage. To be ... Understanding of battery backup systems (Enphase, Tesla, etc) * Understanding of Standalone ...

SunVena

Service Technician

Fort Lauderdale, FL

... machine repairs, install and test products, and instruct customers on proper usage. To be ... Understanding of battery backup systems (Enphase, Tesla, etc) * Understanding of Standalone ...

SunVena

Service Technician

Tampa, FL

... machine repairs, install and test products, and instruct customers on proper usage. To be ... Understanding of battery backup systems (Enphase, Tesla, etc) * Understanding of Standalone ...

SunVena Solar

Service Technician

Fort Lauderdale, FL · On-site

... machine repairs, install and test products, and instruct customers on proper usage. To be ... Understanding of battery backup systems (Enphase, Tesla, etc) * Understanding of Standalone ...

SunVena Solar

Service Technician

Tampa, FL · On-site

... machine repairs, install and test products, and instruct customers on proper usage. To be ... Understanding of battery backup systems (Enphase, Tesla, etc) * Understanding of Standalone ...

SunVena

Service Technician

Fort Lauderdale, FL · On-site

... machine repairs, install and test products, and instruct customers on proper usage. To be ... Understanding of battery backup systems (Enphase, Tesla, etc) * Understanding of Standalone ...

Mergon Group

Production Operator

Anderson, SC · On-site

$17.10/hr

We work with leading brands like Tesla, BMW, Xerox, and Abbott to design, manufacture and deliver ... THE ROLE Mergon Corporation currently has machine operator positions available at the company ...

Mergon

Production Operator

Anderson, SC · On-site

$17.10/hr

We work with leading brands like Tesla, BMW, Xerox, and Abbott to design, manufacture and deliver ... Our Machine Operators run blow molding and/or injection molding machines while removing excess ...

Odyssey

VP, Engineering

Palo Alto, CA · On-site

$250 - $420/hr

They've now brought together a world‑class research team from DeepMind, Tesla, Waymo, Meta, Apple ... Recursive, and Thinking Machines. What we're looking for You'll lead our ML platform and ...

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All JobsTesla Machinist Jobs

Tesla Machinist information

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$14

$25

$36

How much do tesla machinist jobs pay per hour?

As of Aug 10, 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 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 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 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.

More about Tesla Machinist jobs
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:
What job categories do people searching Tesla Machinist jobs look for? The top searched job categories for Tesla Machinist jobs are:
Tesla Machinist jobs near you
Infographic showing various Tesla Machinist job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 2% Part Time, 3% Contract, and 8% Nights. Highlights an 100% Physical job distribution, with an average salary of $53,313 per year, or $25.6 per hour.

Machine Learning Scientist

Tacit

San Francisco, CA • On-site

$180K - $270K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago

Job description

About Tacit
We are an early-stage, deep tech startup based in San Francisco, developing innovative hardware that rethinks human-computer interaction. We are backed by General Catalyst, Khosla Ventures, and Greylock Partners, with a founding team from Stanford, BrainGate, Oculus, and Tesla. While we can't reveal too much just yet, our team is tackling cutting-edge engineering challenges to bring revolutionary products to life.
About the role
As a Machine Learning Scientist, you will develop cutting-edge AI models to integrate and decode complex, multimodal data streams from our custom sensing hardware. You'll play a pivotal role in advancing our technology stack by building and optimizing models for real-time applications. This position spans foundational research in deep learning, hands-on model development, and applying algorithms to scale across diverse data sources and users.
Responsibilities:
  • Design and implement state-of-the-art machine learning algorithms for processing multimodal biosignals, including time series, spatial, and spectral data.
  • Build and optimize neural network architectures.
  • Develop and evaluate multimodal learning techniques to fuse information from multiple sensor modalities.
  • Iterate rapidly on model prototypes for real-time inference on custom hardware.
  • Create and maintain a robust evaluation framework for benchmarking model performance across datasets and participants.
  • Collaborate closely with a diverse team, including hardware engineers, neuroscientists, and product, to align models with user needs.

Requirements:
  • PhD in computer science, machine learning, computational neuroscience, or related fields (or equivalent industry experience).
  • Expertise in deep learning frameworks (e.g., PyTorch, TensorFlow) and fluency in Python.
  • Track record of publishing or deploying machine learning models in real-world systems.
  • Independent work ethic, flexibility, and resourcefulness.
  • Effective communication and collaboration skills.
  • Comfortable in fast moving startup environment, excited to build independently

Preferred Qualifications:
  • Familiarity with human-machine interaction systems such as automatic speech recognition or neural interfaces.
  • Hands-on experience with consumer wearables or custom hardware.
  • Knowledge of low-latency inference techniques and model optimization for edge devices.

Details:
  • This position is full time, onsite in San Francisco (SOMA)
  • Company size: 30-40 people

Compensation Range
$180,000 - $270,000/year
Benefits
  • Competitive equity package
  • Comprehensive medical, dental, and vision insurance
  • Unlimited PTO
  • Visa sponsorship
  • 4% 401k matching

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