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Machine Learning Remote Internship Jobs in Pittsburgh, PA

... Mentor junior scientists and interns; foster a culture of scientific rigor and rapid ... D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research ...

... Mentor junior scientists and interns; foster a culture of scientific rigor and rapid ... D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research ...

Staff Front End Engineer

Pittsburgh, PA · On-site +1

$172K - $229K/yr

... machine learning (ML) engineers and improve the performance and adaptability of our autonomous ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

Working with simulation or machine learning models. * Demonstrate empathy for users and decision ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

... Machine Learning technologies * Lead sales initiatives (necessary) for customer adoption of new ... Regular meetings with customers (both remote and on-site) and presentations at customer conferences ...

Staff Technical Program Manager

Pittsburgh, PA · On-site +1

$144K - $191K/yr

This role will operate across our core machine learning capabilities--specifically partnering with ... can be fully remote The salary range for this role is an estimate based on a wide range of ...

Showing results 21-40

Machine Learning Remote Internship information

See Pittsburgh, PA salary details

$24.8K

$41.3K

$85.4K

How much do machine learning remote internship jobs pay per year?

As of Aug 8, 2026, the average yearly pay for machine learning remote internship in Pittsburgh, PA is $41,341.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,600.00 and $44,700.00 per year, depending on experience, location, and employer.

What types of projects can I expect to work on during a machine learning remote internship?

During a remote machine learning internship, you can expect to contribute to projects such as data preprocessing, model development, and performance evaluation. Interns often work on real-world datasets, applying techniques like regression, classification, clustering, or deep learning, depending on the organization's focus. Collaboration with data scientists, engineers, and other interns is common, typically via virtual meetings and shared code repositories. These projects provide hands-on experience and often culminate in presenting your findings to the team, offering valuable exposure to industry-standard workflows and tools.

What is a machine learning remote internship?

A Machine Learning Remote Internship is a temporary, structured work experience where interns contribute to machine learning projects from a remote location, such as their home. Interns typically work with teams on tasks like data preprocessing, building models, and evaluating results, while gaining practical knowledge and mentoring. These internships are ideal for students or recent graduates looking to develop their skills in machine learning, programming, and data science without the need to relocate. They often involve working with Python, popular ML libraries, and real-world datasets. Communication and collaboration are maintained through online tools and regular meetings.

What are the key skills and qualifications needed to thrive as a machine learning remote intern, and why are they important?

To thrive as a Machine Learning Remote Intern, you need a solid background in programming (especially Python), mathematics/statistics, and a foundational understanding of machine learning concepts, often gained through coursework or relevant projects. Familiarity with machine learning libraries (like TensorFlow, PyTorch, and scikit-learn), version control systems (such as Git), and cloud platforms is typically expected. Strong problem-solving abilities, self-motivation, and effective remote communication set top interns apart. These skills and qualities enable efficient collaboration, successful project delivery, and continuous learning in a dynamic, distributed work environment.

What is the difference between Machine Learning Remote Internship vs Data Science Intern?

AspectMachine Learning Remote InternshipData Science Intern
Required CredentialsBasic programming, math, and machine learning knowledgeStatistics, programming, and data analysis skills
Work EnvironmentRemote, collaborative teams, project-basedRemote or on-site, data analysis and modeling tasks
Industry UsageTech, AI, startups, research labsTech, finance, healthcare, consulting
Search & Comparison IntentUnderstanding internship roles in MLExploring data science internship opportunities

Machine Learning Remote Internships focus on developing models and algorithms, often requiring knowledge of programming and math. Data Science Internships involve analyzing data, creating reports, and supporting decision-making. While both roles are remote and industry-relevant, ML internships emphasize algorithm development, whereas data science roles focus on data analysis and visualization.

What are popular job titles related to Machine Learning Remote Internship jobs in Pittsburgh, PA? For Machine Learning Remote Internship jobs in Pittsburgh, PA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Remote Internship jobs in Pittsburgh, PA look for? The top searched job categories for Machine Learning Remote Internship jobs in Pittsburgh, PA are:
What cities near Pittsburgh, PA are hiring for Machine Learning Remote Internship jobs? Cities near Pittsburgh, PA with the most Machine Learning Remote Internship job openings:
Infographic showing various Machine Learning Remote Internship job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $41,341 per year, or $19.9 per hour.

Research and Development Engineering Intern

The Pennsylvania State University

Freeport, PA • On-site, Remote

$14.25 - $19/hr

Part-time

Re-posted 17 days ago


Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional information on remote work at Penn State, seeNotice to Out of State Applicants.

JOB DESCRIPTION AND POSITION REQUIREMENTS

The Sonar Research and Development Division (SRDD) of the Applied Research Laboratory (ARL) is seeking undergraduate student interns. The SRDD is providing technical expertise to the government in all aspects of SONAR technologies.

Typical duties may include:

  • Support piezoelectric material processing
  • Characterization, production and procurement for fleet transducers
  • Support for transducer modeling, fabrication, and documentation
  • Support for acoustic testing, data analysis, and data display.

Multiple opportunities exist for undergraduate students to support this effort. The successful candidate will work up to 20 hours/week during the fall and spring semesters and 40 hours/week over the summer.

This is a paid internship located at ARL's Freeport facility; relocation and housing are not provided.

Candidates selected may be subject to a government security investigation. You must be a U.S. citizen to apply. Employment with the Applied Research Laboratory will require successful completion of a pre-employment drug screen.

BACKGROUND CHECKS/CLEARANCES

Employment with the University will require successful completion of background check(s) in accordance with University policies.All positions at ARL require candidates topossess the ability to obtain a government security clearance; you will be notified during the interview process if this position is subject to a government background investigation. You must be a U.S. citizen to apply. Employment with the ARL will require successful completion of a pre-employment drug screen.

CAMPUS SECURITY CRIME STATISTICS

Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.

EEO IS THE LAW

Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.

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About Pennsylvania State University

Sourced by ZipRecruiter

Pennsylvania State University, often referred to as Penn State, is a major, public, research-intensive university located in University Park, PA, US. This esteemed institution serves as an important player within the education industry, offering a plethora of academic programs across various disciplines. The university was founded in 1855 with the mission to provide quality education, advanced research, and service to society. Penn State holds firmly to values of integrity, respect, and excellence, fostering a diverse and inclusive community. The university is renowned for its research productivity and its high-ranking programs in areas like engineering, business, and education. One notable achievement of the institution is its designation as a "R1: Doctoral Universities – Very high research activity," demonstrating its commitment to scholarship and discovery.

Industry

Education

Company size

11 - 50 Employees

Headquarters location

University Park, PA, US

Year founded

1855

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