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Machine Learning Intern Jobs in California, PA (NOW HIRING)

Learning & Development Internship Program Instructional Design Adult Learning Learning Operations PathWays is looking for an Intern to join our Learning & Development team and gain hands on ...

Intern

Canonsburg, PA · On-site

$20/hr

Your role Are you a motivated self-starter? Can you take an assignment and run with it? If you're ready to dive into a fast-paced, client-focused work environment, an internship may be the right fit ...

Intern

Canonsburg, PA · On-site

$20/hr

Your role Are you a motivated self-starter? Can you take an assignment and run with it? If you're ready to dive into a fast-paced, client-focused work environment, an internship may be the right fit ...

Machine Learning Intern information

See California, PA salary details

$22.3K

$37.3K

$77K

How much do machine learning intern jobs pay per year?

As of Jun 10, 2026, the average yearly pay for machine learning intern in California, PA is $37,284.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,500.00 and $40,300.00 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 cities near California, PA are hiring for Machine Learning Intern jobs? Cities near California, PA with the most Machine Learning Intern job openings:
Learning and Development Intern

Learning and Development Intern

PathWays

Washington, PA

$14 - $18.50/hr

Other

Posted 4 days ago


Job description

Learning & Development Internship Program

Instructional Design Adult Learning Learning Operations

PathWays is looking for an Intern to join our Learning & Development team and gain hands on experience supporting training across a multi-program human services organization. Work on real projects that impact child services, healthcare/IDD, behavioral health, and workforce development programs.

Choose from three tracks or blend them based on your interests:

Instructional Design Track

  • Create and update training materials
  • Develop job aids and microlearning
  • Support eLearning storyboards and visual design
  • Build portfolio ready content
  • Adult Learning & Facilitation Track
  • Assist with onboarding and live training sessions
  • Co facilitate activities and breakout groups
  • Prepare facilitator materials
  • Support learner engagement and evaluation
  • Learning Operations Track
  • Support LMS updates and reporting
  • Assist with compliance tracking
  • Help coordinate training logistics and communications
  • Contribute to process improvement projects

What You'll Gain

  • Real world L&D experience in a regulated environment
  • Mentorship from experienced L&D professionals
  • A portfolio artifact or capstone project
  • Exposure to instructional design, facilitation, and learning operations
  • A strong resume boost in a growing field

Who Should Apply

Students studying:

Instructional Design Educational Technology Adult Education HR Business Communications Organizational Leadership Human Services Data Analytics

How to Apply

Submit your resume and a brief statement of interest including:

  • Your preferred track(s)
  • Your academic program and expected graduation date
  • Any relevant coursework or experience