ML Engineer Jobs in Palo Alto, CA
ML Engineer jobs in Palo Alto concentrate in the Stanford Research Park, downtown University Avenue corridor, and the El Camino Real technology belt, across AI infrastructure, autonomous systems, and enterprise software. Employers hiring right now include JPMorganChase, Rivian, and Tesla. Scan the live roles below and apply to whichever ones fit.
Find ML Engineer JobsOverview
Showing 5 of 864+ ML Engineer jobs
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars.
SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next.
ML INFRASTRUCTURE ENGINEER
As an ML Infrastructure Engineer, you will play a pivotal role in building and optimizing the reliable, high-performance ML platform that powers recommendations on X. We're looking for exceptional engineers who are passionate about our mission and have a strong desire to make a meaningful impact.
RESPONSIBILITIES:
- Designing, building, and scaling GPU compute infrastructure, training frameworks, and experimentation tools to enable rapid iteration on ML hypotheses
- Developing data pipelines and integrating large-scale data, training, and inference systems
- Collaborating with ML teams to productionize models and ensure seamless integration across the stack
- Ensuring scalability, reliability, and efficiency of large-scale machine learning systems
- Working across the full stack to solve complex problems independently
- Mentoring junior engineers and contributing to the growth of the team
BASIC QUALIFICATIONS:
- Bachelor's, master's, post-graduate, or Ph.D. degree in computer science, machine learning, or other quantitative discipline
- 2+ years of industry experience working with high traffic or large-scale production environments, distributed systems, GPU infrastructure, and/or deep learning applications
- 2+ years experience with ML platforms, training infrastructure, or close collaboration with modeling engineers and data scientists
- Experience with Python and compiled languages such as C++ or Rust
PREFERRED SKILLS AND EXPERIENCE:
- Deep familiarity with modern ML frameworks such as JAX or PyTorch
- Low-level understanding of compute systems, including distributed storage, NVIDIA drivers, CUDA toolkits, and networking
- Comfortable with Linux systems and orchestration tools
- Experience with job schedulers (e.g., Slurm), configuration management (Puppet/Ansible), or related infrastructure tooling
COMPENSATION AND BENEFITS:
$180,000 - $440,000 USD
Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
SpaceXSI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.
See All 864+ ML Engineer Jobs in Palo Alto
Find roles in Palo Alto that match your experience and apply in just a few clicks.
Find ML Engineer JobsML Engineer Job Market in Palo Alto
Who's Hiring
- JPMorganChase144
- Rivian115
- Tesla72
- Snap72
- GEICO43
Top Industries Hiring
- Technology & Software173
- Biotechnology & Pharmaceuticals58
- Insurance29
- Social Media29
- Manufacturing29
ML Engineer Jobs in Palo Alto: Frequently Asked Questions
How do I get a ml engineer job in Palo Alto?
Focus your search on Palo Alto's AI-native startups, autonomous vehicle research teams, and the deep-tech companies anchored around Stanford Research Park. Roles here favor candidates with hands-on experience in large language models, computer vision, or recommendation systems. A portfolio of shipped models, open-source contributions, or research publications connected to local university labs gives you a concrete edge in this market.
Which companies hire ml engineers in Palo Alto?
Employers hiring ml engineers in Palo Alto right now include JPMorganChase, Rivian, and Tesla, based on current listings on Migrate Mate as of November 2026. The local market is shaped by a dense mix of well-funded startups and established technology firms, many with close ties to Stanford University research programs.
Are there remote ml engineer jobs in Palo Alto?
Yes, though it depends heavily on the role. ML engineering work that centers on model training, experimentation, and data pipeline development is often remote-compatible, while roles requiring on-site compute infrastructure or hardware collaboration tend to be in-person. About 43% of ml engineer openings tied to Palo Alto are remote or hybrid as of November 2026, with the most flexible arrangements found in applied research and product-focused ML teams.
How can I get a ml engineer job in Palo Alto with little or no experience?
The most realistic entry path in Palo Alto is through ML engineering associate or research engineer roles at mid-stage startups in the Stanford Research Park area, where smaller teams are more open to candidates who demonstrate strong fundamentals over years of production experience. Internships through Stanford's affiliated research labs, contributing to local open-source ML projects, and targeting companies building their ML function from early stages are the moves that open doors here.
Which industries hire the most ml engineers in Palo Alto?
Palo Alto ml engineer roles concentrate in Technology & Software, Biotechnology & Pharmaceuticals, and Insurance, based on current listings on Migrate Mate as of November 2026. That concentration reflects Palo Alto's position as a hub for foundational AI research, autonomous systems development, and enterprise software companies that compete on model-driven product differentiation.
Related Jobs in California
See All 864+ ML Engineer Jobs in Palo Alto
Find roles in Palo Alto that match your experience and apply in just a few clicks.
Find ML Engineer Jobs