Machine Learning Engineer Jobs in Palo Alto, CA
Machine Learning Engineer jobs in Palo Alto are in strong demand, concentrated in the Stanford Research Park, the University Avenue corridor, and the California Avenue district across AI research, enterprise software, and life sciences. Employers hiring right now include JPMorganChase, Rivian, and Tesla. Scan the live roles below and apply to whichever ones fit.
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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.
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Find JobsMachine Learning 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
Machine Learning Engineer Jobs in Palo Alto: Frequently Asked Questions
How do I get a machine learning engineer job in Palo Alto?
Focus your search on the AI research labs, enterprise software companies, and life sciences firms clustered in Stanford Research Park and along the California Avenue corridor. Candidates who demonstrate hands-on experience with large-scale model training, MLOps pipelines, or domain-specific applications such as drug discovery or autonomous systems stand out locally. A strong GitHub portfolio and familiarity with the deep learning frameworks common in Palo Alto's research-driven culture give applicants a clear edge.
Which companies hire machine learning engineers in Palo Alto?
Employers hiring machine learning engineers in Palo Alto right now include JPMorganChase, Rivian, and Tesla, based on current listings on Migrate Mate as of November 2026. Palo Alto's hiring mix leans heavily toward research-oriented tech companies, AI-native startups, and established enterprises with dedicated ML divisions.
Are there remote machine learning engineer jobs in Palo Alto?
Yes, though it depends on the role. Machine learning engineering is relatively remote-friendly when work centers on model development, experimentation, or data pipeline work, but on-site is common for roles requiring access to proprietary hardware or close collaboration with research teams. About 43% of machine learning engineer openings tied to Palo Alto are remote or hybrid as of November 2026. Roles at AI-native startups in Palo Alto tend to offer the most hybrid flexibility.
How can I get a machine learning engineer job in Palo Alto with little or no experience?
The most realistic entry path in Palo Alto is targeting ML research assistant, data scientist, or junior ML engineer roles at Stanford-affiliated spin-offs and early-stage AI startups in the University Avenue and California Avenue areas. These employers are more willing to invest in candidates with strong academic projects, Kaggle competition results, or published research than large incumbents requiring years of production experience. Contract and internship-to-hire roles at Palo Alto life sciences and autonomous vehicle companies also provide structured entry points.
Which industries hire the most machine learning engineers in Palo Alto?
Most machine learning engineer openings in Palo Alto sit in Technology & Software, Biotechnology & Pharmaceuticals, and Insurance, per current listings on Migrate Mate as of November 2026. Palo Alto's proximity to Stanford and its concentration of deep-tech venture capital draw research-intensive companies in these sectors, sustaining consistent ML hiring throughout the year.
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