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Research Assistant Machine Learning Jobs in Buffalo, NY

Bespoke Labs

Machine Learning Engineer

Buffalo, 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 ...

Scaled Cognition

Research Scientist

Boston, NY · On-site

Work closely with machine learning and product engineers to direct research toward strategic product needs and align product development with novel model capabilities. * Stay up-to-date with the ...

University at Buffalo

Postdoctoral Associate

Buffalo, NY · On-site

$65K - $75K/yr

The Snell Laboratory collaborates closely with AI and classical machine learning developers, and ... UB is a premier, research-intensive public university dedicated to academic excellence. Our ...

Formation Bio

Director, Data Science

Boston, NY · On-site

$235K - $307K/yr

You'll work at the intersection of computational biology, machine learning, and drug development ... Collaborate cross-functionally with clinical, technical, and research teams * Present complex ...

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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 Buffalo, NY is $21.22, according to ZipRecruiter salary data. Most workers in this role earn between $17.93 and $24.66 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 Buffalo, NY look for? The top searched job categories for Research Assistant Machine Learning jobs in Buffalo, NY are:
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Research Assistant Machine Learning jobs near you
Infographic showing various Research Assistant Machine Learning job openings in Buffalo, NY as of August 2026, with employment types broken down into 77% Full Time, and 23% Part Time. Highlights an 100% In-person job distribution, with an average salary of $44,143 per year, or $21.2 per hour.

Machine Learning Engineer II/III (Applied Research & Model Development)

PathAI

Boston, NY • On-site, Remote

$193K/yr

Full-time

Re-posted 11 days ago

Job description

Who We Are
PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning and artificial intelligence. We have a track record of success in deploying AI algorithms for histopathology in translational research, pathology labs and clinical trials. Rigorous science and careful analysis is critical to the success of everything we do. Our team, composed of diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact on patient outcomes.
Where You Fit
We are seeking Machine Learning Engineers (Applied Research & Model Development) to join our team and tackle unique machine learning challenges to advance medicine and improve patient care. You will work closely with teams across biomedical data science, product development, translational research, MLOps, and platform engineering to develop and deploy machine learning models for our AI products and services.
What You'll Do
As an MLE (Applied Research & Model Development) at PathAI, your responsibilities will grow in scope as you progress through levels:
  • Design, develop, and deploy machine learning models for research and product development projects.
  • Collaborate cross-functionally with scientists, engineers, and product teams to translate biological and clinical requirements into scalable ML solutions.
  • Contribute to experimental design and analysis, including ideation, documentation, and reporting.
  • Participate in knowledge sharing and team initiatives (e.g., design reviews, journal clubs, ML best practices, governance activities).
  • Improve ML pipelines and infrastructure in partnership with MLOps and platform teams.
  • Publish and present scientific work, supporting abstracts, manuscripts, and conference contributions.

Level-specific expectations:
  • MLE I: Contribute to projects with guidance, implement models, and learn best practices.
  • MLE II: Independently deliver on projects, improve processes, and mentor junior engineers.
  • MLE III: Lead initiatives end-to-end, set technical direction, and identify new opportunities with clear business and scientific impact.

You will have the opportunity to work in a company where all employees put patients first. We believe that every team member provides valuable contributions to our success, and no task is too small for anyone if it's important to our company goals. Every PathAI employee is a contributor to our mission to pioneer better patient care by providing the best, most innovative AI tools to biotech, pathologists, clinicians and healthcare organizations. You will work alongside and with leading innovators in the field of AI and medicine and you will play a critical role in product development to impact patient outcomes.
What You Bring
We welcome applicants across all MLE levels. Minimum qualifications differ by level:
MLE II:
  • Master's degree plus 2-4 years of experience, or Ph.D. with 0-2 years of experience.
  • Proven track record of developing and deploying machine learning models into production or research applications.
  • Strong proficiency in Python, ML frameworks, and data pipeline development.
  • Demonstrated ability to work independently on projects, contribute to experimental design, and improve ML workflows.
  • Strong communication skills and ability to collaborate across scientific and engineering teams.

MLE III
  • Master's degree plus 5+ years of experience, or Ph.D. with 3+ years of experience.
  • Deep expertise in ML, computer vision, or biomedical AI, with a history of high-impact contributions (publications, open-source, or products).
  • Mastery of ML frameworks, software engineering best practices, and deployment pipelines.
  • Ability to lead end-to-end projects, mentor others, and set technical direction.
  • Experience articulating technical improvements into business or clinical impact.
  • Strong record of contributions to scientific strategy (abstracts, manuscripts, conference presentations).
We Want To Hear From You
At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.
PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications - that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.
The cash compensation outlined below includes base salary or hourly wage and on-target commission for employees in eligible roles. The summary below indicates if an employee in this position is eligible for annual bonus, overtime pay and equity awards. Individual compensation packages are tailored based on skills, experience, qualifications, and other job-related factors.
Annual Pay Range:
Machine Learning Engineer II: $107,250 - $164,450
Machine Learning Engineer III: $130,500 - $200,100
Not Overtime Eligible
Eligible for Equity

Apply