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Machine Learning Intern Jobs in Fairfield, CA (NOW HIRING)

DataRobot

Agentic AI Intern

San Francisco, CA · Remote

Each AI Native Intern is embedded in a real team, working on real problems, and is expected to ... Foundational understanding of machine learning concepts - supervised learning, model evaluation ...

New

DataRobot

Agentic AI Intern

San Francisco, CA · Remote

Each AI Native Intern is embedded in a real team, working on real problems, and is expected to ... Foundational understanding of machine learning concepts - supervised learning, model evaluation ...

New

Workato

Intern, AI Engineering

San Francisco, CA

We are now filling intern positions for Winter 2026 and Spring 2027. Research Areas * LLM Agent ... Currently pursuing MS/PhD in Computer Science, Machine Learning, Natural Language Processing, or ...

Alljoined

Research Intern (Fall)

San Francisco, CA · On-site

$30/hr

About the Role As a Research Intern , you will contribute to building the computational ... You'll work at the intersection of neuroscience and machine learning, developing and optimizing ...

Workato

Intern, AI Engineering

San Francisco, CA · On-site

$19.75 - $25.50/hr

We are now filling intern positions for Winter 2026 and Spring 2027. Research Areas * LLM Agent ... Currently pursuing MS/PhD in Computer Science, Machine Learning, Natural Language Processing, or ...

Workato

Intern, AI Engineering

San Francisco, CA · On-site

$19.75 - $25.50/hr

We are now filling intern positions for Winter 2026 and Spring 2027. Research Areas * LLM Agent ... Currently pursuing MS/PhD in Computer Science, Machine Learning, Natural Language Processing, or ...

Turning Point Community Programs

Intern

Fairfield, CA

$15.50 - $20.50/hr

What sets TPCP apart, is the richness of the diversity of experiences in environments where the tone is of hope, optimism and enthusiasm as each intern moves towards their learning goals in their ...

Faire

Data Science Intern

San Francisco, CA

$75/hr

Data Science Internship - Fall 2026 Faire leverages machine learning and data insights to transform the wholesale industry, giving independent retailers the tools to compete with large-scale e ...

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All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Fairfield, CA

Machine Learning Intern information

See Fairfield, CA salary details

$26K

$43.3K

$89.6K

How much do machine learning intern jobs pay per year?

As of Jul 17, 2026, the average yearly pay for machine learning intern in Fairfield, CA is $43,337.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,100.00 and $46,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Intern, and why are they important?

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What does a Machine Learning Intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

What is the difference between Machine Learning Intern vs Data Science Intern?

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

What types of projects do Machine Learning Interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What Does a Machine Learning Intern Do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

More about Machine Learning Intern jobs
What are popular job titles related to Machine Learning Intern jobs in Fairfield, CA? For Machine Learning Intern jobs in Fairfield, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Intern jobs in Fairfield, CA look for? The top searched job categories for Machine Learning Intern jobs in Fairfield, CA are:
What cities near Fairfield, CA are hiring for Machine Learning Intern jobs? Cities near Fairfield, CA with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you

Machine Learning Engineer: Imitation and Reinforcement Learning for Robotics

Bedrock Robotics

San Francisco, CA • On-site

Full-time

Re-posted 9 days ago

Job description

Join the team bringing advanced autonomy to the built world
At Bedrock, we're moving AI out of the lab and into the real world. Our team is composed of industry veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. Today, we're deploying autonomous systems on heavy construction machinery across the country, accelerating project schedules of billion-dollar infrastructure projects and improving safety on job sites. Backed by $350M in funding, we're working quickly to close the gap between America's surging demand for housing, data centers, manufacturing hubs, and the construction industry's growing labor shortage.
This is where algorithms meet steel-toed boots. You'll collaborate with construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to apply cutting-edge technology to solve meaningful problems alongside a talented team-we'd love to have you join us.
The Mission:
We're looking for a Machine Learning Engineer with a focus on behavior learning, specifically data-driven behavior policies and robust data infrastructure. In this role, you'll be responsible for developing and scaling state-of-the-art learning architectures, while also building the data systems that make these models reliable, scalable, and reproducible in production.
What You'll Do:
  • Design, train, validate, and launch models for behavior cloning and reinforcement learning
  • Build and maintain data ingestion, labeling, and management pipelines to ensure high-quality training datasets
  • Build metrics to evaluate model performance in open loop, simulation, and in the real world
  • Collaborate with simulation, systems, and infrastructure teams to integrate ML models into real-world autonomous systems
  • Deploy and debug these models in real-world environments, addressing practical issues such as latency, hardware constraints, and system integration

What We're Looking For:
  • 3+ years of practical experience applying Machine Learning with Deep Learning frameworks, such as PyTorch/Tensorflow/JAX to solve real-world problems
  • 3+ years of professional experience building, deploying, and maintaining Machine Learning models in production environments
  • Familiarity with recent literature and methods in learned behavior policies
  • Practical experience in behavior cloning and/or reinforcement learning
  • Bonus: Experience with diffusion policies, Vision-Language-Action (VLA) models, or related technologies
  • Bonus: Published work in conferences such as ICRA, IROS, CoRL, CVPR, ECCV, ICCV, ICML, NeurIPS, ...

Our roles are often flexible. If you don't fit all the criteria, or are in another location (especially one where we have an office like SF or NY) please apply anyway! We'd love to consider you.

Apply