Machine Learning Engineer Jobs in California
Machine Learning Engineer jobs in California are among the most active in the country, concentrated in technology, healthcare AI, autonomous systems, and financial services, with openings from entry-level ML engineer through principal and staff-level roles. The heaviest hiring is in the San Francisco Bay Area, Los Angeles, and San Diego, where companies like Google, Meta, and Qualcomm maintain major engineering operations. Computer vision, natural language processing, and large language model fine-tuning are the sub-areas drawing the most consistent demand across California employers. Find a role that fits below and apply directly.
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INTRODUCTION
Block builds simple, powerful tools that make progress towards an economy that’s truly open to all. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we’re helping build a financial system that is open to everyone. Join us.
THE ROLE
We’re hiring Senior and Staff Machine Learning Engineers to join Block’s Risk Machine Learning organization, where teams apply ML at massive scale to detect, prevent, and reduce fraud and abuse across Cash App and Square.
This opening supports multiple senior-level roles, with team placement determined through a collaborative matching process based on your experience, interests, and current business needs. Today, we’re growing teams focused on fraud & abuse prevention, merchant risk, credit underwriting (consumer & commercial lending), buy-now-pay-later decisioning, AI-powered customer support & conversational AI, agentic automation for investigations, and model risk governance. We'd love to hear from you whether your background is in adversarial ML, NLP/LLMs, credit modeling, or model validation.
Across teams, your work will directly protect our ecosystem, reduce financial loss, and enable safe, seamless financial experiences for millions of customers, sellers, and families.
YOU WILL
- Partner with product, engineering, data science, policy, and operations to design and productionize ML-driven risk solutions at scale
- Own end-to-end machine learning systems — from problem definition and modeling to deployment, monitoring, and iteration
- Lead technical decision-making within your workstreams and influence ML strategy and planning
- Build tooling and processes that improve the speed, reliability, and impact of the ML development lifecycle
- Apply state-of-the-art modeling techniques and third-party data sources to improve detection and decision-making
- Investigate emerging fraud, abuse, and risk patterns to proactively inform product safeguards and policy
- Collaborate closely with ML platform and engineering teams to ensure models operate reliably in real time and at scale
YOU HAVE
- 8+ years of industry experience in machine learning, applied AI, or related fields
- Bachelor’s degree in a quantitative field (Computer Science, Engineering, Statistics, Physics, Applied Math); Master’s or PhD preferred
- Proven experience independently designing, deploying, and maintaining ML solutions in production
- Strong familiarity with techniques such as tree-based models, deep learning, transfer learning, or reinforcement learning
- Experience influencing technical direction and collaborating with cross-functional partners at scale
- Strong communication skills, sound judgment, and an ownership mindset
- Curiosity and alignment with Block’s mission of economic empowerment
TECHNOLOGIES WE USE AND TEACH
- Python (NumPy, Pandas, scikit-learn, XGBoost, PyTorch, TensorFlow/Keras)
- PySpark, MLflow, workflow orchestration tools (Airflow, Prefect)
- GCP (Vertex AI), AWS
- Snowflake, MySQL, Tableau, Mode
- Containerization, CI/CD, and production ML best practices
APPLICATION GUIDELINES
Candidates may submit up to 9 active applications within a 60-day period. Reapplications to the same role are accepted 90 days after a previous application has been reviewed.
USE OF AI IN OUR HIRING PROCESS
We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws.
Contact us here with hiring practice or data usage questions.
Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offerings.
Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we’re helping build a financial system that is open to everyone.
See All 1,772+ Machine Learning Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find JobsMachine Learning Engineer Jobs by City in California
Where California roles are concentrated, by current openings.
Machine Learning Engineer Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
- Apple220

- TikTok83

- Amazon62

- Adobe56

- Capital One51

Top Industries Hiring
- Technology & Software781
- Electronics & Hardware307
- Artificial Intelligence127
- Banking & Financial Services123
- Automotive96
What California Employers Look For
The qualifications that appear most often in machine learning engineer jobs across California.
- Bachelor's or master's degree in computer science, statistics, or a related quantitative field
- Proficiency in Python and core ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Experience designing, training, and deploying machine learning models in production environments
- Familiarity with cloud ML infrastructure on AWS, Google Cloud, or Azure
- Strong foundation in linear algebra, probability, statistics, and optimization techniques
- Experience with data pipelines, feature engineering, and large-scale distributed computing tools
Machine Learning Engineer Jobs in California: Frequently Asked Questions
How do you become a machine learning engineer in California?
Machine learning engineering has no state-issued license in California, so the path runs through education and demonstrated technical skills. Most California employers expect at least a bachelor's degree in computer science, mathematics, or a related field, with a master's degree preferred at many Bay Area and Los Angeles tech companies. Building a portfolio of deployed projects, contributing to open-source ML work, and completing graduate coursework at UC Berkeley, Stanford, or UCLA strengthens a candidate's profile considerably.
How much do machine learning engineers make in California?
Machine learning engineers in California earn a median of about $174,410 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $105,060 for the lowest 10% to over $272,670 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire machine learning engineers in California?
Employers hiring machine learning engineers in California right now include Apple, TikTok, and Amazon, based on current listings on Migrate Mate as of June 2026. California's concentration of technology headquarters, AI research labs, and defense contractors means consistent openings across a wide range of industries and seniority levels.
Which California cities have the most machine learning engineer jobs?
San Francisco, San Jose, and Cupertino have the most machine learning engineer openings in California. The Bay Area's density of technology headquarters and AI research organizations drives the largest share of listings, while Los Angeles draws demand from entertainment technology, aerospace, and a fast-growing startup ecosystem, and San Diego's strength in wireless technology and biotech creates a reliable secondary market.
Are there remote machine learning engineer jobs in California?
Yes, and more than most fields. About 21% of machine learning engineer openings tied to California are remote or hybrid as of June 2026, reflecting how well the core work, model development, experimentation, and code review, translates to distributed teams. Roles involving on-site GPU infrastructure management or close collaboration with hardware teams tend to require in-person presence more often than pure research or modeling positions.
How can I get hired as a machine learning engineer in California with little or no experience?
The most realistic entry path is through a machine learning or data science internship at a California technology company, many of which, including major Bay Area firms, run structured university recruiting programs targeting new graduates from UC campuses, Cal Poly, and California State University programs. Transitioning from a data analyst, software engineer, or research assistant role is a common lateral move. Building a GitHub portfolio with end-to-end ML projects and completing a relevant graduate certificate from a California institution significantly improves early-career competitiveness.
Where can I find and apply to machine learning engineer jobs in California?
You can find and apply to machine learning engineer jobs in California on Migrate Mate, which lists current California openings across industries and seniority levels. Find roles that fit your background and apply directly.
See All 1,772+ Machine Learning Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
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