Machine Learning Scientist Jobs in California
Machine Learning Scientist jobs in California are among the most active in the country, concentrated in tech, biotech, autonomous systems, and enterprise software across experience levels from entry-level research associate through principal and staff scientist. The largest hiring metros are San Francisco Bay Area, Los Angeles, and San Diego, where companies like Google, Meta, and Qualcomm have deep and lasting research operations. Roles focused on large language models, computer vision, and reinforcement learning are drawing the most consistent demand. Find a role that fits below and apply directly.
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Role: Data Scientist – Machine Learning Focus
(This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.)
Adidev Technologies Inc
www.adidevtechnologies.com
Adidev Technologies is seeking 2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.
If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist / Data Analyst / Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.
Job Description
- Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation-systems, environmental systems and/or agronomic problems.
- Strong foundation in Python programming in a cloud environment.
- Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
- Expertise in data wrangling using SQL,
- Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
- Fluency in querying/extracting/aggregating data via SQL scripting.
- Extract, load and transform data (ETL) from structured and unstructured sources
- Apply Natural Language Processing and Computer Vision to solve business use cases,
- Strong skills in scientific data analyses, modeling, visualization and communication of results.
- Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
Must have
- Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
- Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
- Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
- Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
- Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
- Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
- Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
- Distributed computing tools and cloud technology (AWS)
Benefits
Competitive Salary
Paid Relocation
Remote Support
Guaranteed Regular Salary Reviews
Job Type: W2 or Contract 1099 (full-time - 40 hours).
Ready to Embark?
we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth.
Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough
See All 89 Machine Learning Scientist Jobs in California
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Find JobsMachine Learning Scientist Jobs by City in California
Where California roles are concentrated, by current openings.
Machine Learning Scientist Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software15
- Biotechnology & Pharmaceuticals10
- Artificial Intelligence5
- Electronics & Hardware4
- Transportation & Logistics3
What California Employers Look For
The qualifications that appear most often in machine learning scientist jobs across California.
- PhD or master's degree in computer science, statistics, or a related quantitative field
- Proficiency in Python and machine learning frameworks such as PyTorch or TensorFlow
- Experience designing and deploying end-to-end machine learning systems in production environments
- Strong background in statistical modeling, probability theory, and mathematical optimization
- Demonstrated research contributions through publications, patents, or open-source projects
- Familiarity with cloud infrastructure such as AWS, Google Cloud, or Azure for model training and deployment
Machine Learning Scientist Jobs in California: Frequently Asked Questions
How do you become a machine learning scientist in California?
Machine learning scientist roles in California do not require a state-issued license or certification, so the path runs through academic credentials and demonstrated technical skill. Most California employers expect at minimum a master's degree in computer science, applied mathematics, or statistics, with many research-focused roles preferring a PhD. Building a portfolio of published work, open-source contributions, or Kaggle competition results strengthens candidacy considerably in California's research-heavy hiring culture.
How much do machine learning scientists make in California?
Machine learning scientists in California earn a median of about $141,590 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $77,480 for the lowest 10% to over $224,920 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire machine learning scientists in California?
Employers hiring machine learning scientists in California right now include Meta, Lila Sciences, and TikTok, based on current listings on Migrate Mate as of November 2026. California's density of AI research labs, semiconductor companies, and biotech firms means demand comes from a broad range of industries beyond consumer tech.
Which California cities have the most machine learning scientist jobs?
San Francisco, San Jose, and Palo Alto have the most machine learning scientist openings in California. The Bay Area accounts for the largest share, driven by the headquarters concentration of major technology and AI research companies, while Los Angeles has grown significantly through entertainment tech, autonomous vehicles, and a expanding startup ecosystem, and San Diego draws openings from its strong biotech and defense sectors.
Are there remote machine learning scientist jobs in California?
Yes, and more than most fields. About 40% of machine learning scientist openings tied to California are remote or hybrid as of November 2026, reflecting how much of the work involves coding, model training, and analysis that can be done from anywhere. Roles focused on foundational research or data pipeline work tend to be the most remote-friendly, while positions requiring access to proprietary hardware or on-site collaboration with product teams are more likely to require in-person presence.
How can I get hired as a machine learning scientist in California with little or no experience?
The most realistic entry path is a research internship or new-graduate program at a California technology or biotech company, which can convert into a full-time role. Large California employers like Google, Apple, and Lawrence Berkeley National Laboratory run structured research internship pipelines aimed at PhD students and recent graduates. Transitioning from a data scientist, software engineer, or research analyst role is also common, particularly when the candidate can show applied ML work in a portfolio or published paper.
Where can I find and apply to machine learning scientist jobs in California?
You can find and apply to machine learning scientist jobs in California on Migrate Mate, which lists current California openings updated regularly. Search the available roles, find the ones that fit your experience and target location, and apply directly to each employer without leaving the platform.
See All 89 Machine Learning Scientist Jobs in California
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