1

Machine Learning Intern Jobs in Buffalo, NY (NOW HIRING)

Power BI Intern

Buffalo, NY ยท On-site

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports that provide key business insights to internal stakeholders. This is an excellent opportunity for ...

Intern

Hamburg, NY ยท On-site

$14.25 - $18.75/hr

E-ONE is part of Terex Corporation, a global designer and manufacturer of specialized vehicles and equipment, including fire and emergency vehicles, waste and recycling equipment, RV's, and machinery ...

Learning Specialist

Buffalo, NY ยท On-site

$50K - $80K/yr

Learning Specialist Schedule: Full-Time, Monday - Thursday (7:45 AM - 4:15 PM) and Friday (7:45-3:45) Department: Learning Services Position Overview We are seeking a collaborative, and dedicated ...

Learning Specialist

Buffalo, NY ยท On-site

$50K - $80K/yr

Learning Specialist Schedule: Full-Time, Monday - Thursday (7:45 AM - 4:15 PM) and Friday (7:45-3:45) Department: Learning Services Position Overview We are seeking a collaborative, and dedicated ...

Learning Specialist Schedule: Full-Time, Monday - Thursday (7:45 AM - 4:15 PM) and Friday (7:45-3:45) Department: Learning Services Position Overview We are seeking a collaborative, and dedicated ...

Toyland Intern

Buffalo, NY ยท On-site

$14.50 - $19.50/hr

Internship Summary: Learn hands-on donor relations experience as you work at Child and Family Services Haven House, as Erie County's only licensed domestic violence shelter. In this role, you will ...

Toyland Intern

Buffalo, NY ยท On-site

$14.50 - $19.50/hr

Internship Summary: Learn hands-on donor relations experience as you work at Child and Family Services Haven House, as Erie County's only licensed domestic violence shelter. In this role, you will ...

next page

Showing results 1-20

Machine Learning Intern information

See Buffalo, NY salary details

$24.7K

$41.2K

$85.2K

How much do machine learning intern jobs pay per year?

As of Jul 20, 2026, the average yearly pay for machine learning intern in Buffalo, NY is $41,249.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,500.00 and $44,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Intern, and why are they important?

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What does a Machine Learning Intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

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

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

What types of projects do Machine Learning Interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What Does a Machine Learning Intern Do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

What are the most commonly searched types of Machine Learning jobs in Buffalo, NY? The most popular types of Machine Learning jobs in Buffalo, NY are:
What are popular job titles related to Machine Learning Intern jobs in Buffalo, NY? For Machine Learning Intern jobs in Buffalo, NY, the most frequently searched job titles are:
What cities near Buffalo, NY are hiring for Machine Learning Intern jobs? Cities near Buffalo, NY with the most Machine Learning Intern job openings:
Machine Learning Intern/Co-op (Fall 2026)

Machine Learning Intern/Co-op (Fall 2026)

PathAI

Boston, NY โ€ข On-site, Remote

Internship

Re-posted 14 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
Our Intern/Co-op program is designed to give you a real-world view of what it's like to be a Machine Learning Engineer at PathAI. You will be embedded directly into our AI product and ML Core teams, working on active projects that have a direct impact on our technical roadmap and business goals.
You will collaborate with a cross-functional team of scientists, engineers, and product managers to translate clinical needs into scalable ML solutions. This is your chance to contribute to meaningful work that directly relates to patient outcomes.
Timeline: This opportunity is for Fall 2026. We are looking for interns/co-ops who can commit to 3-6 months at PathAI (4-6 months preferred).
Location: We have offices in Boston, MA and New York, NY and would prefer interns/co-ops who can work from one of those locations-however, we will also consider remote candidates (US based only).
What You'll Do
  • Contribute to the design, development, and evaluation of machine learning models for our AI products, AI services and core ML models.
  • Work on subprojects derived from our ongoing ML product roadmap, focusing on areas like model improvements with novel techniques.
  • Partner with our MLOps and platform teams to help build and improve our ML pipelines.
  • Participate in experimental design, analysis, and team knowledge-sharing initiatives like design reviews, technical forums and journal clubs.
What You Bring
  • Currently pursuing a M.S., or Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering with a focus on Computer Vision and Machine Learning.
  • Strong programming skills in Python and hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow).
  • A solid grasp of the fundamentals of machine learning and/or computer vision.
  • Excellent communication skills and a desire to work in a highly collaborative, cross-functional environment.
  • A passion for our mission to improve patient outcomes.
  • [Nice-to-have] Any high impact contributions through any AI/ML publications, open-source projects and any AI based products.

We are looking for team players who are passionate about what they do and are willing to tackle any task to contribute to our goals. You could be exactly who we are looking for!
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.