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Machine Learning Intern Jobs in Simi Valley, CA (NOW HIRING)

Homee

Merchandising Intern

West Hollywood, CA · On-site

We're leveraging the latest advances in machine learning, NLP, and artificial intelligence to build ... APPLY FOR THIS JOB Homee is looking to expand our team with a Merchandising Intern. You will be ...

Homee

Merchandising Intern

West Hollywood, CA · On-site

We're leveraging the latest advances in machine learning, NLP, and artificial intelligence to build ... APPLY FOR THIS JOB Homee is looking to expand our team with a Merchandising Intern. You will be ...

Machina Labs

Product Management, Intern

Chatsworth, CA · On-site

$20 - $35/hr

About the Role As a Product Management Intern at Machina Labs, you will take ownership of high ... You'll collaborate across engineering, robotics, and machine learning teams to deliver real ...

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Showing results 21-40

All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Simi Valley, CA

Machine Learning Intern information

See Simi Valley, CA salary details

$26.3K

$44K

$90.8K

How much do machine learning intern jobs pay per year?

As of Sep 12, 2026, the average yearly pay for machine learning intern in Simi Valley, CA is $43,959.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,500.00 and $47,500.00 per year, depending on experience, location, and employer.

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 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 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 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 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.

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The top searched job categories for Machine Learning Intern jobs in Simi Valley, CA are:

What cities near Simi Valley, CA are hiring for Machine Learning Intern jobs?

Cities near Simi Valley, CA with the most Machine Learning Intern job openings:

Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Simi Valley, CA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 24% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $43,959 per year, or $21.1 per hour.

AI Data Science Intern (MAQR) - Summer 2027

Santa Monica, CA

TWG Global AI
See more jobs at TWG Global AIexternal

$50/hr

Temporary

Posted 11 days ago

Key responsibilities

  • Assist in building, cleaning, and analyzing large datasets, including financial market, insurance, and alternative data.

  • Support the design and evaluation of statistical and machine learning models for forecasting, risk analysis, and market behavior.

  • Work with researchers to implement algorithms in Python and related tools.

Job description

The Organization  

At TWG Group Holdings, LLC ("TWG Global"), we drive innovation and business transformation across a diverse portfolio-including investments, finance, insurance, and media-by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. 

We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by the central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel transformative projects in marketing, operations, and product development. 

You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive industry innovation. 

At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver significant value and impact across our businesses. 

The Role  

We are seeking a highly motivated Data Science Intern to join our Quantitative Research & Data Science (MAQR) team. This role is ideal for graduate students currently pursuing a Master's degree in a technical discipline who are eager to apply their skills in real-world research and data projects. 

As an intern, you will work closely with senior researchers and data scientists on projects that bridge advanced quantitative methods, modern machine learning, and financial applications. This internship provides an opportunity to learn from experienced practitioners, contribute to active projects, and gain exposure to the workflows of a leading quantitative research team. 

Key Responsibilities: 

  • Assist in building, cleaning, and analyzing large datasets, including financial market, insurance, and alternative data.
  • Support the design and evaluation of statistical and machine learning models for forecasting, risk analysis, and market behavior.
  • Work with researchers to implement algorithms in Python and related tools.
  • Contribute to AI/ML projects across domains such as time series forecasting, optimization, and conversational AI.
  • Conduct exploratory data analysis to identify patterns, anomalies, and potential predictive signals.
  • Document findings and present results to team members in a clear and concise manner.
  • Collaborate with senior team members to test research ideas and contribute to model validation.
  • Ensure projects align with standards of trust, transparency, safety, and regulatory compliance.

Requirements

Qualifications: 

  • Bachelor's degree in a technical discipline seeking Masters (Computer Science, Data Science, Statistics, Applied Math, Physics, Engineering, or related field).
  • Currently enrolled in a Master's program in a technical discipline.
  • Strong programming skills in Python (familiarity with pandas, NumPy, scikit-learn, PyTorch, or TensorFlow is a plus).
  • Solid foundation in probability, statistics, and linear algebra.
  • Familiarity with version control tools (e.g., Git) and basic software engineering practices.
  • Intellectual curiosity, attention to detail, and willingness to learn from senior researchers.
  • Strong written and verbal communication skills.

Benefits

Compensation 

The expected hourly rate for this role is $50.00/hour.

Position Location 

Santa Monica, CA

TWG is an equal opportunity employer. All applicants will be considered for employment without attention to age, race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. 

*This job posting is not to be reposted without the explicit permission of TWG AI.

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