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Research Assistant Machine Learning Jobs in Pittsburgh, PA

University of Pittsburgh

Research Assistant

Pittsburgh, PA

$18.75 - $25.75/hr

The position involves simulation, coding, data management, and introductory machine learning ... manage research datasets Apply machine learning methods to predict thermal properties Applicant ...

Bespoke Labs

Machine Learning Engineer

Pittsburgh, PA · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

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How much do research assistant machine learning jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for research assistant machine learning in Pittsburgh, PA is $21.27, according to ZipRecruiter salary data. Most workers in this role earn between $17.98 and $24.76 per hour, depending on experience, location, and employer.

What is a research assistant machine learning?

A Research Assistant in Machine Learning supports research projects by implementing algorithms, analyzing data, and conducting experiments to advance AI models. They assist senior researchers by preprocessing datasets, developing machine learning models, and evaluating their performance. Responsibilities may also include coding, literature reviews, and writing research papers. This role is typically found in academia, research labs, or industry R&D teams. Strong programming skills, statistical knowledge, and familiarity with ML frameworks like TensorFlow or PyTorch are essential.

What types of projects might a research assistant machine learning typically work on?

As a Research Assistant in Machine Learning, you may be involved in projects such as developing and evaluating predictive models, processing and analyzing large datasets, and assisting in the publication of research findings. Your work could contribute to applications like natural language processing, computer vision, or recommendation systems, depending on the focus of the research group. You’ll often collaborate closely with senior researchers, data scientists, or PhD students, allowing you to participate in brainstorming sessions, code development, and experimental design. This experience provides valuable exposure to cutting-edge technology and can serve as a strong foundation for a research or industry career in machine learning.

What are the key skills and qualifications needed to thrive as a research assistant machine learning?

To thrive as a Research Assistant Machine Learning, you need a solid understanding of machine learning algorithms, programming skills (especially in Python or R), and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Experience with frameworks such as TensorFlow, PyTorch, and data analysis tools, as well as familiarity with version control systems like Git, is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in collaborative research environments. These skills ensure you can contribute meaningfully to research projects, analyze complex datasets, and communicate findings effectively within interdisciplinary teams.

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What job categories do people searching Research Assistant Machine Learning jobs in Pittsburgh, PA look for? The top searched job categories for Research Assistant Machine Learning jobs in Pittsburgh, PA are:
What cities near Pittsburgh, PA are hiring for Research Assistant Machine Learning jobs? Cities near Pittsburgh, PA with the most Research Assistant Machine Learning job openings:
Research Assistant Machine Learning jobs near you
Infographic showing various Research Assistant Machine Learning job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 76% Full Time, and 24% Part Time. Highlights an 100% In-person job distribution, with an average salary of $44,241 per year, or $21.3 per hour.

Research Assistant - Robotics Institute

Carnegie Mellon University

Pittsburgh, PA • On-site

$18.75 - $25.75/hr

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago

Carnegie Mellon University rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

67th of 617 rated colleges and universities

Job description

We are seeking a part-time Research Assistant in computer vision and machine learning for human behavior analysis and modeling. The successful candidate will investigate new algorithms and models for analyzing and understanding human behavior from video. Specific research topics for human behavior using one or multiple cameras will focus on the design of efficient perceptual algorithms for behavioral cue extraction and novel approaches for the modeling people interaction, with application to medical research and affective computing.
We are seeking creative and upbeat Research Assistant that will follow research plans in order to collect, record and manipulate research data. Maintains accurate and detailed research records.
Responsibilities:
  • Write code and develop novel theoretical and practical state of the art artificial intelligence/machine learning algorithms that are focused on human behavior modeling related to video classification using deep learning networks for end-users.
  • Work with other team members to develop and maintain software for maximum efficiency and usability.
  • Designs, develops, tests and maintains applications or system programs.
  • Gathers and provides input on functional specifications and requirements
  • Perform approved research project tasks according to defined protocols and procedures including appropriate collection, recording, storage, and analysis of data, and reporting of results.
  • Follow appropriate research policies and procedures and maintains scientific integrity including accurate data storage.
  • Communicate the daily progress of research projects via meetings with, and written reports to the research director.
  • Responsible for following the mandatory reporting procedures for any incident or event that did affect or potentially could affect the project goals and workflow.
  • Optimize protocols and improve methods currently employed.
  • Coordinates work consistently to achieve maximum productivity.
  • Demonstrates ability to deal with changes in priorities to provide smooth and consistent workflow.
  • Interacts with interdisciplinary professional partners.
  • Other duties as assigned.

Requirements:
  • Master of Science (MS) in computer vision, machine learning, artificial intelligence, or a closely related field.
  • Strong programming skills.
  • Strong background in machine learning / computer vision/ human behavior modeling, with specialization in one or more of the following areas:, supervised/unsupervised/self-supervised learning, large vision models, multimodal foundation models, transfer learning, Research experience in multimodal human behavior analysis, affective computing, AI for Healthcare, and multimodal machine learning.
  • Very good presentation, communication, and organization skills.

DESIRED:
  • Publications in top machine learning and/or computer vision conferences and journals.
  • Research experience involving clinical applications (e.g., depression, pain).
  • Experience and/or enthusiasm for mentoring students.
  • Experience analyzing questionnaires and surveys.
  • Experience with grant proposal preparation and coordination.

How to Apply:
Important Note: Applications missing any 3 of the mandatory document listed below will be REJECTED and not considered for the role.
Applications should be sent to https://cmu.wd5.myworkdayjobs.com/CMU
Applications MUST contain the 3 mandatory files listed below:
1. Cover Letter: letter of application, describing your qualifications and relevant experience to the position of interest (with expected date of availability).
2. A detailed CV (including full publications citation if applicable)
3. Three reference letters (sent separately by the referees to me at adehart@andrew.cmu.edu
Incomplete applications that are missing any of the 3 files listed above will not be considered and dispositioned.
*** If you are an international student on an F-1 visa, please check with your Designated School Official (DSO) or academic counselor at your current institution about the right time to apply for Curricular Practical Training (CPT) before applying to a role with CMU. ***
"Applicants for this position must be currently legally authorized to work for CMU in the United States. CMU will not sponsor or take over sponsorship of an employment visa for this opportunity."
Training:
  • OSHA Hazardous Materials Safety Training

Are you interested in this exciting opportunity?! Apply today!
Joining the CMU team opens the door to an array of exceptional benefits.
Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.
Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!
For a comprehensive overview of the benefits available, explore our Benefits page.
At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it's about finding the perfect fit for your professional growth and personal aspirations.
Are you interested in an exciting opportunity with an exceptional organization?! Apply today!
Location
Pittsburgh, PA
Job Function
Researchers
Position Type
Staff - Fixed Term (Fixed Term)
Full Time/Part time
Part time
Pay Basis
Hourly
More Information:
  • Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.
  • Click here to view a listing of employee benefits
  • Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
  • Statement of Assurance

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