Machine Learning Jobs in California
Machine Learning jobs in California are among the most active in the country, with strong demand across big tech, autonomous systems, biotech, and financial services at every level from entry-level ML engineer through principal researcher and director of AI. The largest concentrations of openings are in the San Francisco Bay Area, Los Angeles, and San Diego, where employers like Google, Apple, and Qualcomm maintain deep and ongoing machine learning hiring programs. Model deployment, natural language processing, and computer vision are the specialties driving the most consistent demand across California's tech and life sciences corridors. Find a role that fits below and apply directly.
Find Machine Learning JobsOverview
Showing 5 of 1,803+ Machine Learning jobs
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.
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 1,803+ Machine Learning Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find Machine Learning JobsMachine Learning Jobs by City in California
Where California roles are concentrated, by current openings.
Machine Learning Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
- Apple221
- TikTok88
- Amazon62
- Adobe56
- Capital One53
Top Industries Hiring
- Technology & Software802
- Electronics & Hardware310
- Artificial Intelligence134
- Banking & Financial Services125
- Automotive99
What California Employers Look For
The qualifications that appear most often in machine learning jobs across California.
- Bachelor's or master's degree in computer science, statistics, or a closely related field
- Proficiency in Python and core ML frameworks such as TensorFlow, PyTorch, or JAX
- Experience designing, training, and evaluating supervised and unsupervised learning models
- Familiarity with cloud infrastructure on AWS, Google Cloud, or Azure for model deployment
- Ability to work with large-scale datasets, including data cleaning, feature engineering, and pipeline automation
- Strong communication skills to present model results and tradeoffs to cross-functional stakeholders
Machine Learning Jobs in California: Frequently Asked Questions
How do you become a machine learning engineer in California?
Machine learning roles in California do not require a state-issued license. Most employers expect at minimum a bachelor's degree in computer science, mathematics, or statistics, with a master's or PhD preferred for research-focused positions. California employers consistently prioritize demonstrated project experience, so building a portfolio of end-to-end ML projects on public repositories carries significant weight during screening and is often more decisive than credentials alone.
Which companies hire machine learnings in California?
Employers hiring machine learnings in California right now include Apple, TikTok, and Amazon, based on current listings on Migrate Mate as of June 2026. California's concentration of large tech headquarters, defense contractors, and well-funded biotech firms means machine learning hiring is distributed across multiple industries rather than concentrated in a single sector.
Which California cities have the most machine learning jobs?
San Francisco, San Jose, and Cupertino account for the largest share of machine learning openings in California. The Bay Area's density of major tech headquarters and AI-focused startups drives the volume there, while Los Angeles reflects growth in media tech, autonomous vehicles, and aerospace, and San Diego's openings are anchored by defense contractors and biotech research firms with active ML programs.
Are there remote machine learning jobs in California?
Yes, and more than most fields. About 21% of machine learning openings tied to California are remote or hybrid as of June 2026, reflecting how well the work translates to distributed teams. Research, modeling, and experimentation work tends to be the most remote-compatible, while roles involving hardware integration, lab datasets, or real-time inference infrastructure more often require on-site presence.
How can I get hired as a machine learning engineer in California with little or no experience?
The most realistic entry path is an internship or new-grad rotational program at a California tech employer. Companies like Google, Meta, and NVIDIA run structured new-grad programs specifically for candidates with strong academic projects but limited professional experience. Building two or three complete ML projects, including data sourcing, model training, and evaluation, and publishing them publicly provides concrete evidence of capability. Adjacent roles like data analyst, software engineer, or research assistant at California universities and national labs also serve as common transition points into machine learning.
Where can I find and apply to machine learning jobs in California?
You can find and apply to machine learning jobs in California on Migrate Mate, which lists current California openings across industries and experience levels. Find the roles that fit your background and apply directly from each listing.
See All 1,803+ Machine Learning Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find Machine Learning Jobs