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

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 ...

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 ...

As a Software Engineering intern at Centerfield, you'll work directly with our Engineering team ... Collaborate with engineering, data engineering, and data science teams to support machine learning ...

As a Software Engineering intern at Centerfield, you'll work directly with our Engineering team ... Collaborate with engineering, data engineering, and data science teams to support machine learning ...

As a Software Engineering intern at Centerfield, you'll work directly with our Engineering team ... Collaborate with engineering, data engineering, and data science teams to support machine learning ...

A key focus of this role will be creating engaging training content, including training videos, scripts, presentations, and other learning materials. The intern will work closely with HR and ...

New

A key focus of this role will be creating engaging training content, including training videos, scripts, presentations, and other learning materials. The intern will work closely with HR and ...

New

Showing results 21-40

Machine Learning Intern information

See Pasadena, CA salary details

$27.8K

$46.5K

$96K

How much do machine learning intern jobs pay per year?

As of Aug 16, 2026, the average yearly pay for machine learning intern in Pasadena, CA is $46,450.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,500.00 and $50,200.00 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 the most commonly searched types of Machine Learning jobs in Pasadena, CA?

The most popular types of Machine Learning jobs in Pasadena, CA are:

What are popular job titles related to Machine Learning Intern jobs in Pasadena, CA?

For Machine Learning Intern jobs in Pasadena, CA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Intern jobs in Pasadena, CA look for?

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

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

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

Merchandising Intern

Homee

West Hollywood, CA โ€ข On-site

Internship

Re-posted 4 days ago


Job description

Company Description

A Bit about Homee:

Born out of a desire to disrupt the $200B furniture industry, Homee is leading the way in conversational commerce. We connect users with our team of expert designers who recommend products based on our analysis of their wants and needs.

We're leveraging the latest advances in machine learning, NLP, and artificial intelligence to build a next-level shopping experience and scale our unique brand of simple, personal shopping. Come help us create the future of e-commerce.

We are looking for great people who want to join a creative and fast paced environment. You will be part of a small but powerful team that will help us change the way people shop on their phones.

We work in a bright, sunny office with awesome views and.... a ping pong table.

We have an ever growing bad ass team!

Job Description

ย APPLY FOR THIS JOB

Homee is looking to expand our team with a Merchandising Intern.

You will be apart of our team who makes sure that we are providing the best possible products for our clients.

Must be pursuing a degree in Interior Design, Design, Fashion or have 1 year of styling experience.


Tasks:

Assist with product/category tagging and data entry

Assist with merchandising lead generation and data - data acquisition, vetting, data research, data compilation

Help analyze data and run key department reports. Examples include running weekly report on top sold items.

Work closely with and coordinate efforts amongst the Merchandising, Marketing and Operations teams to leverage products, campaigns, and promotional opportunities.

Assist the department with other assigned duties and responsibilities

Qualifications

Skills:

Proficient in Microsoft Excel

Strong organizational skills with ability to prioritize and manage multiple projects while maintaining attention to detail (strong project management skills)

Strong customer service, interpersonal and communication skills (both written and oral)

Ability to work independently as well as part of a team


Additional Information

All your information will be kept confidential according to EEO guidelines.