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Senior Tesla Machine Learning Engineer Jobs in Santa Rosa, CA

Director of AI

Bodega Bay, CA · On-site +1

$257K - $402K/yr

Lead the selection and integration of advanced machine learning models, algorithms, and deep ... Champion the existing team's talent and represent their needs to senior leadership. * Develop a ...

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 ...

About the Role Join CBRE as a Senior Building Engineer supporting a clients intellectual center ... Advise the implementation of a preventive maintenance program to ensure that building machinery and ...

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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 Jun 26, 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:
What job categories do people searching Senior Tesla Machine Learning Engineer jobs in Santa Rosa, CA look for? The top searched job categories for Senior Tesla Machine Learning Engineer jobs in Santa Rosa, CA are:
What cities near Santa Rosa, CA are hiring for Senior Tesla Machine Learning Engineer jobs? Cities near Santa Rosa, CA with the most Senior Tesla Machine Learning Engineer job openings:

AI/ML Scientist - Physics AI Start Up - $200 Million in Funding

Saragossa

Santa Rosa, CA • On-site

Other

Posted 3 days ago


Job description

Lead the Team Building AI Technology Transforming Engineering Simulation


This role sits at the center of a highly technical engineering team focused on building AI and machine learning systems that improve how complex engineering simulations are developed, tested, and deployed across industries.


In this role, you will lead the technical direction of a cutting-edge product area while remaining deeply hands-on in development. You will help shape the systems, engineering standards, and technical culture behind software solving real-world physics and simulation challenges across areas like fluid dynamics, thermal systems, and structural analysis.


You will work closely with researchers, engineers, and business stakeholders to translate complex engineering problems into practical machine learning solutions. The environment is highly collaborative and focused on balancing innovation with real-world execution.


If you enjoy leading from the front, solving difficult technical problems, and building AI systems that push engineering and simulation technology forward, let’s talk.


No up-to-date resume required.