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

We're leveraging the latest advances in machine learning, NLP, and artificial intelligence to build ... We are looking to expand our team with an Interior Design Intern! You will work in the Design ...

Underwriting Intern

Calabasas, CA ยท On-site

$22 - $27/hr

As a Maverick Payments Intern , you will work on real-world projects with business leaders from across the organization and gain practical experience using machine learning and predictive modeling to ...

Graphic Design Intern

West Hollywood, CA ยท On-site

$17 - $22.50/hr

We're leveraging the latest advances in machine learning, NLP, and artificial intelligence to build ... Homee is looking for a Graphic Design Intern to join the team! You will be working directly with ...

Graphic Design Intern

West Hollywood, CA ยท On-site

$17 - $22.50/hr

We're leveraging the latest advances in machine learning, NLP, and artificial intelligence to build ... Homee is looking for a Graphic Design Intern to join the team! You will be working directly with ...

The AI Automation Intern will drive two key initiatives: Develop an AI-driven magnetics design ... Develop an AI enabled magnetics design automation capability that leverages machine learning models ...

The AI Automation Intern will drive two key initiatives: Develop an AIdriven magnetics design ... Develop an AI enabled magnetics design automation capability that leverages machine learning models ...

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 ...

Showing results 21-40

Machine Learning Intern information

See Torrance, CA salary details

$26.6K

$44.5K

$91.9K

How much do machine learning intern jobs pay per year?

As of Sep 5, 2026, the average yearly pay for machine learning intern in Torrance, CA is $44,466.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,900.00 and $48,000.00 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.

What are the most commonly searched types of Machine Learning jobs in Torrance, CA?

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

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

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

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

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

Infographic showing various Machine Learning Intern job openings in Torrance, CA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $44,466 per year, or $21.4 per hour.

Data & Analytics Technology Consulting Intern - Summer 2027

PRICEWATERHOUSECOOPERS CORPORATE FINANCE LLC

Los Angeles, CA โ€ข On-site

$29.25 - $48/hr

Full-time

Posted yesterday

New


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Intern/Trainee

Job Description & Summary

The Opportunity


As a Data & Analytics Technology Consulting - Intern, you will engage in projects that focus on learning and gaining exposure to PwC's practices, while supporting teams with basic tasks and conducting research. Within our Advisory practice, you will have the chance to work alongside experienced professionals who guide clients towards sustainable growth and competitive advantage in today's dynamic market. This role offers a unique opportunity to observe and participate in the development of data-driven solutions, leveraging data science, analytics, and artificial intelligence to drive innovation and gain a competitive edge.


As an Intern, you will support teams by participating in projects, focusing on learning and gaining exposure to PwC practices. You will perform basic tasks and conduct research while observing professional work environments. In this role at PwC, you will be encouraged to ask questions, take initiative, and produce quality work that adds value for our clients and contributes to our team's success. This is an entry-level position where you will start to establish your personal brand, paving the way to more opportunities within the firm.


Responsibilities


- Supporting teams in data analysis and research to gain insights and contribute to project goals

- Participating in the development and implementation of data-driven solutions using tools like Power BI and Tableau

- Assisting in the creation of data visualizations to communicate complex data insights effectively

- Engaging in algorithm development and machine learning tasks to enhance data processing capabilities

- Conducting research and gathering information to support data validation and security measures

- Utilizing Microsoft SQL Server Data Tools and Python for data manipulation and analysis

- Collaborating with team members to apply predictive analytics and generate actionable insights

- Observing and learning from experienced professionals to understand data analytics methodologies and practices

- Applying a learning mindset to develop skills in data analytics and artificial intelligence technologies


What You Must Have


- Currently pursuing or have completed a Bachelor's degree

- Client service intern positions are entry-level and job seekers are traditionally either in their 3rd year of a 4 year degree program or in the 4th year of a 5 year program. Client service interns typically join us during the winter/spring or summer prior to their intended graduation year


What Sets You Apart


- Preference for at least one of the following fields of study: Business Analytics, Computer Information System, Computer Programming, Data Processing/Analytics/Science, Industrial & System Engineering, Industrial and Operations Engineering, Industrial Engineering, Informatics, Information Science, Information System, Information Technology, Management Information Systems

- Preferred cumulative GPA: 3.3

- Preferred major GPA: 3.3

- Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes

- Developing skills in algorithm development and machine learning

- Utilizing tools like Alteryx, Power BI, and Tableau for data visualization

- Conducting analytic research to drive data-driven insights

- Applying Python programming for predictive analytics and data processing

Travel Requirements

Up to 80%

Job Posting End Date

September 26, 2026The salary range for this position is: $29.25 - $48.00. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.As PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.