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

Research Intern Alljoined aims to solve the communication bottleneck between humans and technology ... You'll work at the intersection of neuroscience and machine learning, developing and optimizing ...

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 ...

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 ...

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 ...

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 ...

Intern, AI Engineering

San Francisco, CA ยท 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 ...

Intern, AI Engineering

San Francisco, CA

$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 ...

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 ...

AI Developer Intern

San Francisco, CA ยท On-site

$22.75 - $29.75/hr

About This Role We're searching for an AI Developer Intern for the fall term (mid-Sep through mid ... Machine Learning. * Hands-on software experience - you write solid code, build demos, and can ...

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 ...

Showing results 21-40

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 Aug 7, 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.

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:
Infographic showing various Machine Learning Intern job openings in Fairfield, CA as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 25% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $43,337 per year, or $20.8 per hour.

Research Intern (Fall)

Alljoined

San Francisco, CA โ€ข On-site

$30/hr

Other

Re-posted 17 days ago


Job description

Research Intern

Alljoined aims to solve the communication bottleneck between humans and technology by decoding thoughts from the brain, entirely non-invasively. We apply deep learning research to large scale EEG datasets collected on affordable hardware to decode stimuli like images, and eventually emotion, intent, train of thought and more. Targeting business applications first, we will eventually create a general consumer interface for productivity, entertainment and AI applications.

We are actively growing our world-class team of researchers to build the most performant and accessible interface to greatly improve the quality of individual lives as well as the well-being of society as a whole.

About the Role

As a Research Intern, you will contribute to building the computational infrastructure that powers our breakthrough brain-computer interface research. You'll work at the intersection of neuroscience and machine learning, developing and optimizing pipelines that process massive EEG datasets and implementing cutting-edge deep learning experiments. This role offers hands-on experience with state-of-the-art neural decoding technology while working alongside world-class researchers pushing the boundaries of what's possible in brain-computer interfaces.

About You
  • Currently pursuing or recently completed a degree in Computer Science, Software Engineering, or related field

  • Strong programming skills in Python with ability to quickly learn new frameworks

  • Solid understanding of algorithms and data structures

  • Problem-solving mindset with attention to detail in experimental work

  • Ability to work collaboratively in a fast-paced research environment

  • Enthusiasm for learning about neuroscience and brain-computer interfaces

Responsibilities
  • Implement and run computational experiments using PyTorch, adapting existing models or developing new ones as research requires

  • Develop performant, distributed pipelines and algorithms for EEG data processing and analysis

  • Perform rigorous quality checks and preprocessing to ensure data integrity

  • Experiment with different parameters to optimize EEG data collection and analysis conditions

  • Collaborate with computational neuroscientists, ML researchers, and engineers on cutting-edge research projects

  • Maintain thorough documentation of experiments, procedures, and results

Required Skills
  • Programming Proficiency: Strong Python skills with ability to implement algorithms and quickly learn ML techniques in PyTorch

  • Computer Science Fundamentals: Solid grasp of CS principles, algorithmic thinking, and problem-solving

  • Full-Stack Familiarity: Experience with web development (React, SQL) is a plus but not required

Nice to Have
  • Experience with deep learning frameworks and techniques

  • Knowledge of signal processing for data preprocessing and analysis

  • Familiarity with EEG or other neuroimaging modalities

  • Previous research or project experience in experimental design

Compensation & Benefits
  • $30/hour USD

  • Corporate housing provided

  • Potential for full-time conversion based on performance