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Senior Tesla Machine Learning Engineer Jobs in Santa Rosa, CA

Acceler8 Talent

Research Engineer

Santa Rosa, CA · On-site

Deep understanding of modern machine learning and deep learning techniques * Experience training ... Engineering, Model Training, Distributed Training, Pretraining, Fine-Tuning, Post-Training ...

Acceler8 Talent

Research Engineer

Sonoma, CA · On-site

Deep understanding of modern machine learning and deep learning techniques * Experience training ... Engineering, Model Training, Distributed Training, Pretraining, Fine-Tuning, Post-Training ...

The Walt Disney Company

Sr Staff R&D Engineer

Nicasio, CA

$206K - $276K/yr

Job Posting Title: Sr Staff R&D Engineer Req ID: 10127968 The Skywalker Sound Development Group is ... You will architect, build, and optimize cutting-edge machine learning systems at scale-leveraging ...

CT Labs

Artificial Intelligence Researcher

Sonoma, CA · On-site

Their work spans generative AI, agentic systems, enterprise automation, machine learning, and AI ... This position works closely with AI engineers, consultants, product leaders, and clients to ...

New

CT Labs

Artificial Intelligence Consultant

Sonoma, CA · On-site

Develop solution recommendations across machine learning, NLP, generative AI, and automation. Manage project delivery in collaboration with internal engineers and data scientists. Present technical ...

Ema

Software Engineer, DevOps

Bodega Bay, CA · On-site

$135K - $225K/yr

... Engineer to join our growing team and play a pivotal role in designing and building our platform ... Experience with event-driven data and machine learning infrastructure, including streaming ...

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All JobsSenior Tesla Machine Learning Engineer JobsSenior Tesla Machine Learning Engineer Jobs in Santa Rosa, CA

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:
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Senior Tesla Machine Learning Engineer jobs near you
Machine Learning Performance Engineer

Machine Learning Performance Engineer

Keysight Technologies, Inc.

Santa Rosa, CA • On-site

$160K - $266K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Keysight Technologies rating

8.1

Company rating: 8.1 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

40th of 139 rated electronics manufacturers

Job description

Overview
Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.
Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.
The AI Models and Data Science team at Keysight AI Labs is hiring a ML Performance Engineer to make our training and inference stacks as fast as the math allows. You'll own end-to-end performance: profiling training workloads on multi-GPU clusters, writing custom CUDA kernels and LibTorch C++ extensions for hot paths, and optimizing inference for embedding in production software where every millisecond matters.
This role sits at the intersection of ML, systems engineering, and HPC. You'll work directly with MLEs and data scientists driving the modeling work, and with the engineering teams shipping these models into Keysight products.
Responsibilities
  • Profile and optimize training workloads - multi-GPU scaling efficiency, throughput, memory footprint, mixed precision, gradient checkpointing tradeoffs
  • Profile and optimize inference for low-latency, high-throughput deployment - quantization, graph optimization, kernel fusion, runtime selection
  • Write custom CUDA kernels and LibTorch (PyTorch C++) extensions to accelerate hot paths in both training and inference
  • Build and maintain serving infrastructure using ONNX Runtime, TensorRT, and similar - including C++ integration paths for embedding models inside production software
  • Partner with MLEs and data scientists on perf-aware architecture choices; partner with product engineering on deployment, versioning, and monitoring
  • Establish performance SLAs and regression tests so models stay fast as they evolve

Qualifications
  • 4+ years in ML engineering, performance engineering, or HPC, with substantial production ML experience
  • Strong Python and C++ - including LibTorch / PyTorch C++ extensions in production
  • Hands-on experience optimizing both training and inference workloads (not just one)
  • CUDA experience required - comfortable profiling GPU code with Nsight and reasoning about occupancy, memory hierarchy, and kernel-level tradeoffs
  • Production deployment experience with ONNX Runtime, TensorRT, or equivalent inference runtimes
  • Solid software engineering fundamentals: testing, versioning, code review, monitoring
  • Experience with Docker and container-based deployment

Careers Privacy Statement
Keysight Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.
The level of role and salary will be based on applicable experience, education and skills; Most offers will be between the minimum and the midpoint of the Salary Range listed below.
California Pay Range: MIN $160,160- MAX $266,930
Note: For other locations, pay ranges will vary by region.
US Employees may be eligible for the following benefits:
- Medical, dental and vision
- Health Savings Account
- Health Care and Dependent Care Flexible Spending Accounts
- Life, Accident, Disability insurance
- Business Travel Accident and Business Travel Health
- 401(k) Plan
- Flexible Time Off, Paid Holidays
- Paid Family Leave
- Discounts, Perks
- Tuition Reimbursement
- Adoption Assistance
- ESPP (Employee Stock Purchase Plan)

What Keysight Technologies employees say

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