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Research Assistant Machine Learning Jobs in Pittsburgh, PA

Vitro Flat Glass

Sr. R&D Engineer

Cheswick, PA

Vitro also operates one of the world's largest glass research and development facilities in ... Develop process models first-principles, system identification, data-driven, and machine learning ...

Waabi

Research Scientist, Simulation Agents

Pittsburgh, PA · On-site +1

$158K - $269K/yr

Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a related ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Waabi

Research Scientist, Simulation Agents

Pittsburgh, PA · On-site +1

$158K - $269K/yr

Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a related ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Waabi

Research Scientist, Learnable Planner

Pittsburgh, PA · On-site +1

$158K - $269K/yr

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Waabi

Research Scientist, Learnable Planner

Pittsburgh, PA · On-site +1

$158K - $269K/yr

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Duolingo

Senior AI Research Engineer

Pittsburgh, PA

$101K - $139K/yr

The ideal candidate will have a proven track record as an AI research engineer, with experience across various machine learning techniques including large language models, speech models, benchmarking ...

AEG

Research Engineer (AI + Sports)

Pittsburgh, PA · On-site

You'll work at the cutting edge of computer vision and machine learning applied to sports, collaborating with leading academic researchers at Carnegie Mellon University while taking your innovations ...

Duolingo

Senior AI Research Engineer

Pittsburgh, PA · On-site

$197K - $266K/yr

The ideal candidate will have a proven track record as an AI research engineer, with experience across various machine learning techniques including large language models, speech models, benchmarking ...

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All JobsResearch Machine Learning JobsResearch Assistant Machine Learning JobsResearch Assistant Machine Learning Jobs in Pittsburgh, PA

Research Assistant Machine Learning information

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

As of Sep 7, 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.

What are popular job titles related to Research Assistant Machine Learning jobs in Pittsburgh, PA?

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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 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $44,241 per year, or $21.3 per hour.

Sr. R&D Engineer

Vitro Flat Glass

Cheswick, PA

Full-time

Re-posted 27 days ago

Job description

Vitro Architectural Glass manufactures a broad range of industry-leading, energy-efficient products such asSolarban,SungateandStarphire Ultra-Clearglasses. Throughout our storied history, collaboration and innovation have been central to our advancements. Today, the key to our success continues to lie in the strength of our partnerships. With a foundation formed on trust, teamwork and shared excitement, the possibilities for impactful innovations in glass are truly endless.

With manufacturing facilities throughout the U.S. and Mexico, Vitro Architectural Glass is committed to sustainable manufacturing processes and products. Vitro also operates one of the world's largest glass research and development facilities in Pittsburgh, PA and has four residential glass fabrication plants in Canada.

Website: www.vitroglazings.com

The Process Engineering and Process Control group within Vitro Architectural Glass R&D is seeking a highly motivated Research Scientist to lead technology development in process modeling and control for next-generation glass manufacturing.The ideal candidate combines a strong foundation in process control with the curiosity, adaptability, and technical breadth to develop innovative solutions and expand into emerging areas such as data science, machine learning, and artificial intelligence.

This position is located at our Glass Technology Center in Cheswick, PA, approximately 25 minutes from downtown Pittsburgh.

Responsibilities:

  • Develop and implement advanced process control solutions using methods such as PID, MPC, feedforward, and inferential control, etc.
  • Develop process models first-principles, system identification, data-driven, and machine learning approaches.
  • Investigate and apply emerging technologies including artificial intelligence and advanced analytics to process monitoring, prediction, control, and optimization.
  • Communicate technical findings through reports, presentations, and research publications to audience from diverse backgrounds.
  • Travel up to 10-15% as required to support project launch and execution.

Qualifications:

  • Ph.D. in Chemical Engineering, Mechanical Engineering, Applied Mathematics, or a related STEM discipline
  • Strong foundation in process dynamics and control, with demonstrated knowledge of at least one process control methodology such as PID, MPC, feedforward, inferential, or adaptive control
  • Knowledge of optimization methods such as LP, QP, NLP or related numerical techniques
  • Programming experience in Python, MATLAB, C++, or similar computing environments
  • Experience with data analysis, statistical modeling, machine learning, or related analytical methods
  • Strong written and verbal communication skills

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