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Senior Tesla Machine Learning Engineer Jobs in Santa Rosa, CA

Senior Platform Engineer, GCP & AI Infrastructure Compensation: $250K + equity Location: San Mateo ... machine learning, data, and emerging technology companies. We connect exceptional technical talent ...

Platform Engineer

Sonoma, CA · On-site

$250K/yr

Senior Platform Engineer, GCP & AI Infrastructure Compensation: $250K + equity Location: San Mateo ... machine learning, data, and emerging technology companies. We connect exceptional technical talent ...

Leads and supports the mechanical design, testing, and production of electrical machines as well as ... Is committed to learning from mistakes and driven to improve and enhance performance of oneself ...

Senior Director, AI

Bodega Bay, CA · On-site +1

$257K - $402K/yr

Lead the selection and integration of advanced machine learning models, algorithms, and deep ... D.) in Computer Science, Robotics, Electrical Engineering, or a related field. * Minimum of 8 years ...

As a Principal Engineer, you'll join as a senior individual contributor with significant technical ... machine learning, with recent professional experience building autonomous agents or agentic ...

Sr. Opto Mechanical Engineer

Santa Rosa, CA · On-site

$114K - $150K/yr

Duties & Responsibilities: Sr. Opto-Mechanical Engineer Advanced Optical Development Group SUMMARY ... machining. * High proficiency in CAD tools such as SolidWorks, AutoDesk, Creo, etc. and experience ...

We are the Beats Engineering team, and we are looking for a highly motivated engineer, who ... Practical knowledge of validating machine learning models and algorithms. Strong understanding of ...

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Senior Tesla Machine Learning Engineer information

See Santa Rosa, CA salary details

$65.1K

$138.4K

$200.6K

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

As of Jul 18, 2026, the average yearly pay for senior tesla machine learning engineer in Santa Rosa, CA is $138,369.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,300.00 and $156,900.00 per year, depending on experience, location, and employer.

How does a Senior Machine Learning Engineer at Tesla typically collaborate with cross-functional teams?

As a Senior Machine Learning Engineer at Tesla, you will frequently work alongside software developers, data scientists, product managers, and hardware engineers. Collaboration is highly cross-functional, with regular meetings to align on project goals, data requirements, and model deployment strategies. You may be involved in translating business objectives into machine learning solutions, sharing insights with non-technical stakeholders, and refining algorithms based on feedback from various departments. This collaborative environment fosters innovation and ensures that machine learning models are well-integrated into Tesla's products and systems.

What are the key skills and qualifications needed to thrive as a Senior Tesla Machine Learning Engineer, and why are they important?

To thrive as a Senior Tesla Machine Learning Engineer, you need deep expertise in machine learning algorithms, strong programming skills in Python or C++, and a proven track record in deploying models at scale, often supported by an advanced degree in computer science or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience working with large datasets, and cloud computing platforms are typically required, as well as knowledge of Tesla's proprietary systems. Exceptional problem-solving, collaboration, and communication skills distinguish top performers in this role. These abilities are crucial for developing advanced AI solutions that power Tesla's autonomous systems and for driving innovation in a highly competitive, fast-evolving environment.

What is the difference between Senior Tesla Machine Learning Engineer vs Data Scientist?

AspectSenior Tesla Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, EE, or related; experience in ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models for autonomous vehicles, energy, and manufacturingAnalyzes data to extract insights, supports product and business decisions
Employer & Industry UsageTesla, automotive, energy, AI projectsVarious industries including tech, finance, healthcare

While both roles involve working with data and algorithms, the Senior Tesla Machine Learning Engineer focuses on developing and deploying machine learning models for Tesla's products, especially autonomous systems. In contrast, a Data Scientist primarily analyzes data to inform business decisions across various industries. The ML Engineer role requires deeper expertise in machine learning frameworks and deployment, whereas Data Scientists focus more on statistical analysis and data visualization.

What does a Senior Tesla Machine Learning Engineer do?

A Senior Tesla Machine Learning Engineer leads the development and deployment of advanced machine learning models to improve Tesla’s products, such as Autopilot, Full Self-Driving, and manufacturing optimization. They collaborate with multidisciplinary teams to collect data, design algorithms, and ensure models are robust and scalable. In this role, engineers are expected to mentor junior staff, drive research initiatives, and help translate cutting-edge AI advancements into real-world Tesla applications.
What are popular job titles related to Senior Tesla Machine Learning Engineer jobs in Santa Rosa, CA? For Senior Tesla Machine Learning Engineer jobs in Santa Rosa, CA, the most frequently searched job titles are:
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Robot Service & Support Engineer

Agile Robots

Petaluma, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago


Job description

Agile Robots is a global leader in industrial and humanoid robotics and physical AI, integrating advanced machine learning and robotic vision to redefine the future of work. Headquartered in Munich with a global workforce of 3,200+, we are now establishing our North American footprint.

We are a rapidly growing world-class team, constantly on the cutting edge of what’s possible in AI-driven robotics and automation, creating fast time-to-market solutions for the automotive, consumer electronics, healthcare and service industries. Our products are known for their precision, reliability, and ease of integration. We are actively recruiting engineering professionals with a solid foundational background in advanced automation to scale our operations and support the deployment of our cutting-edge robotic systems.

We are seeking a motivated, hands-on and technically capable Robot Service & Support Engineer. You will serve as a technical contact for customers, performing deployment, operation, and physical repairs of our robotic systems. This role is a unique blend of digital troubleshooting and hands-on electromechanical service and repair. Our team works closely with R&D and customers to ensure robots operate reliably in real-world environments.

Requirements

Key responsibilities

  • Learning & Development: Participate in intensive training programs covering robot kinematics, electrical control systems, and proprietary software. Work toward becoming a subject matter expert in the mechanical assembly and disassembly of our robotic systems.
  • Tier 1 Technical Support: Provide initial responses to customer inquiries via phone and email. Assist in diagnosing basic mechanical and software issues, escalating complex cases to Tier 2/3 support as needed.
  • Hands-on Service & Repair: Perform on-site and in-house repairs, including replacing motors, sensors, cabling, and structural components. Conduct preventative maintenance checks to ensure hardware longevity.
  • Diagnostic Assistance: Utilize schematics, test equipment, and diagnostic log files to identify root causes for performance issues and system failures.
  • Documentation: Assist in the creation of "lessons learned" reports and internal service notes. Update FAQ articles based on common entry-level troubleshooting queries.
  • Cross-Functional Support: Shadow senior engineers during site visits and collaborative meetings with Manufacturing and R&D to understand the product lifecycle and common field challenges.
  • Inventory & Tools Management: Maintain the local service kit and tools, ensuring all diagnostic equipment is calibrated and spare parts are organized for rapid deployment.

Experience & Attributes

  • 3+ years of hands-on experience in technical or robotics-related service and support roles.
  • Education: Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Computer Science, Robotics, or a related technical field.
  • Technical Aptitude: Familiarity with basic electrical circuits, hand tools, electromechanical troubleshooting, log analysis and at least one programming language (e.g., Python, C++, or PLC logic).
  • Problem-Solving: A "tinkerer" mindset with a strong desire to take things apart and understand how they work.
  • Communication: Ability to explain technical concepts clearly to non-technical users.
  • Travel: Willingness to travel to customer sites, locally and throughout the U.S., for hands-on service, training, systems installation and commissioning.

Benefits

  • Competitive salary and performance-based bonuses.
  • Comprehensive benefits package, including health, dental, vision insurance, and 401k.
  • Generous paid time off and paid holidays.
  • Opportunities for professional development and continuous learning in cutting-edge robotics technology.

Agile Robots is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment is decided based on qualifications, merit, and business need.

Accommodations: If you require a reasonable accommodation during the application or interview process, please contact USA@agile-robots.com