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Research Assistant Machine Learning Jobs in Rochester, NY

Bespoke Labs

Machine Learning Engineer

Geneseo, NY · 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 ...

Bespoke Labs

Machine Learning Engineer

Rochester, NY · 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 ...

Tompkins Community Bank

Applied AI Engineer

Batavia, NY · On-site

$105K/yr

AI Solution Development and Deployment - Design, build, test, and deploy scalable, production-ready AI solutions, including intelligent assistants, machine learning applications, and workflow ...

Deloitte

Lead AI and Data Science Engineer II

Rochester, NY

$101K - $133K/yr

In this role, you will lead complex data science work that combines research design, statistical analysis, machine learning, and application development to solve high-priority people challenges. You ...

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

As of Aug 10, 2026, the average hourly pay for research assistant machine learning in Rochester, NY is $21.62, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $25.14 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 Rochester, NY? For Research Assistant Machine Learning jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Research Assistant Machine Learning jobs in Rochester, NY look for? The top searched job categories for Research Assistant Machine Learning jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Research Assistant Machine Learning jobs? Cities near Rochester, NY 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 Rochester, NY 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 $44,964 per year, or $21.6 per hour.

Global Quantitative Strategies | Machine Learning Researcher

Citadel LLC

Rochester, NY • On-site

$300 - $350/hr

Other

Medical, Life, Retirement

Posted 5 days ago

Job description

About GQS

GQS is the quantitative investment business of Citadel. Founded in 2012, GQS has grown rapidly to become one of Citadel’s core investment strategies and one of the top quantitative investment teams in the world. Collaborative teams of researchers, engineers, and traders build robust systems that operate at scale and apply advanced quantitative and machine learning techniques to identify investment opportunities.

Role Overview

Machine Learning Researchers at GQS develop and deploy models across a variety of asset classes. Their work spans deep learning, sequence and time-series modeling, natural language processing, large language models, pre-training, reinforcement learning, and methods for improving robustness in complex financial regimes.

Location

New York, Singapore

Required Skills and Qualifications
  • Advanced degree in Computer Science, Machine Learning, Mathematics, Statistics, Engineering, Physics, or a related quantitative field
  • Proven ability to conduct innovative and impactful research focused on solving real-world problems
  • Deep expertise in machine learning and deep learning, such as sequence modeling, large language models, or reinforcement learning
  • Experience with modern training techniques such as pre-training, fine-tuning, reinforcement learning, or related optimization methods
  • Expertise in Python and machine learning frameworks such as PyTorch or JAX
  • Strong mathematical and statistical foundations
  • Ability to design, implement, and optimize machine learning models for performance, scalability, and robustness
  • Demonstrated interest in financial markets and a drive to apply machine learning techniques to model price formation, market behavior, and risk
Compensation and Benefits

In accordance with applicable law, the base salary range for this role is $300,000 to $350,000. In addition, the employee who fills this role will be eligible to participate in a discretionary incentive compensation program, as well as a wide array of benefit programs, such as medical and life insurance, retirement and tax-free savings plans, and access to other healthcare programs.

Personal Data Use

We collect and use personal data in accordance with our Privacy Policy. We retain data on prospective candidates and may consider suitability for alternative opportunities at Citadel. For more information, see our Privacy Policy.

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