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Machine Learning Fellow Jobs (NOW HIRING)

Govini

Senior Machine Learning Engineer

Pittsburgh, PA · On-site

$118K - $156K/yr

Collaborate closely with fellow taxonomists, software engineers, data scientists, data engineers ... Machine Learning or a related field Required Skills: * Minimum 3 years experience with hands-on ...

Air

Senior Machine Learning Engineer

Pittsburgh, PA

$118K - $156K/yr

Collaborate closely with fellow taxonomists, software engineers, data scientists, data engineers ... Machine Learning or a related field Required Skills: * Minimum 3 years experience with hands-on ...

University of Missouri

Post Doctoral Fellow

Columbia, MO · On-site

$46K - $63K/yr

... machine learning), and process-based models. The successful candidate will have an inquisitive ... The fellow will work to identify crop and system-based strategies that advance knowledge and ...

Arcadia Science

Platform Fellow

Emeryville, CA · On-site

$8.0K - $12K/mo

We are seeking a Platform Fellow to join our Platform team for a 3-month fellowship. Platform uses ... PhD in computational biology, statistics, machine learning, genetics, evolutionary biology, or a ...

Arcadia Science

Platform Fellow

Emeryville, CA · On-site

$8.0K - $12K/mo

We are seeking a Platform Fellow to join our Platform team for a 3-month fellowship. Platform uses ... PhD in computational biology, statistics, machine learning, genetics, evolutionary biology, or a ...

MD Anderson

Postdoctoral Fellow - Biostatistics

Houston, TX · On-site

$64K - $76K/yr

The fellow will develop novel statistical and computational methods for integrative spatial omics ... Some experience with machine learning and AI is desirable. Please send CV and information on three ...

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Machine Learning Fellow information

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$25K

$59K

$83.5K

How much do machine learning fellow jobs pay per year?

As of Jun 20, 2026, the average yearly pay for machine learning fellow in the United States is $59,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $66,500.00 per year, depending on experience, location, and employer.

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

A Machine Learning Fellow typically needs a strong background in mathematics, statistics, and programming (Python, R, or similar), often supported by an advanced degree in computer science, data science, or related fields. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and data analysis tools is essential. Critical thinking, curiosity, and effective communication help fellows solve complex problems and share findings with technical and non-technical audiences. These skills enable effective model development, impactful research, and successful collaboration in interdisciplinary teams.

What is the difference between Machine Learning Fellow vs Data Scientist?

AspectMachine Learning FellowData Scientist
Required CredentialsAdvanced degree in CS, ML, or related field; research experienceDegree in CS, statistics, or related; some roles prefer experience in analytics
Work EnvironmentResearch-focused, academic or corporate R&D teamsBusiness analytics, product development, or consulting teams
Employer & Industry UsageUniversities, research labs, tech companiesTech firms, finance, healthcare, e-commerce
Search & Comparison IntentFocus on research, advanced ML projectsData analysis, insights, and modeling

While both roles involve working with data and machine learning, a Machine Learning Fellow typically focuses on research and developing new algorithms, often in academic or R&D settings. Data Scientists apply ML techniques to solve business problems, analyze data, and generate insights. The roles overlap in skills and tools but differ mainly in their primary focus and work environment.

What is a Machine Learning Fellow?

A Machine Learning Fellow is typically an early-career or advanced student involved in a structured fellowship program focused on machine learning research or applications. These fellowships provide opportunities to work on real-world projects, collaborate with experts, and deepen knowledge in areas such as data analysis, model development, and artificial intelligence. Fellows often contribute to research papers, attend workshops, and gain hands-on experience with cutting-edge technologies, preparing them for future roles in academia or industry.

What are some typical projects or tasks a Machine Learning Fellow can expect to work on during their fellowship?

As a Machine Learning Fellow, you can expect to engage in hands-on projects such as developing and optimizing machine learning models, analyzing large datasets, and collaborating with research scientists or engineers. Fellows often participate in exploratory research, contribute to publications, or assist with deploying models into production environments. The role typically involves regular team meetings, code reviews, and opportunities to present your findings to both technical and non-technical audiences, offering valuable experience for future career advancement.
More about Machine Learning Fellow jobs
What job categories do people searching Machine Learning Fellow jobs look for? The top searched job categories for Machine Learning Fellow jobs are:
Machine Learning Fellow jobs near you
Infographic showing various Machine Learning Fellow job openings in the United States as of June 2026, with employment types broken down into 76% Full Time, 15% Part Time, 8% Contract, and 1% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $59,022 per year, or $28.4 per hour.

IFML Postdoctoral Fellowship

The University of Texas at Austin

Austin, TX • On-site

$48K - $65K/yr

Full-time

Posted 5 days ago

University Of Texas at Austin rating

8.1

Company rating: 8.1 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

131st of 538 rated colleges and universities

Job description

Description
The NSF AI Institute for Foundations of Machine Learning (IFML), and the NSF TRIPODS program at the University of Texas seek highly qualified candidates (within five years of the award of their PhD) for a new UT ML Research Fellow Program. Appointments will begin Summer or Fall 2024.
This multi-year program will host several postdoctoral researchers working on either:
(a) foundational problems in machine learning, optimization, and statistics and their relationship to algorithmic and methodological improvements for training and deploying ML models or
(b) problems that advance the state of the art in central use-cases of large scale ML: video, imaging, and navigation or some combination of the above topics or
(c) deep learning and protein biologics, especially protein engineering and applications of large-scale tools such as AlphaFold (we encourage candidates with PhDs in biology, chemistry, biochemistry or related fields with a background in computation to apply).
Descriptions of the scientific agendas of IFML and TRIPODS can be found at ifml.institute and ml.utexas.edu/tripods respectively.
A description of the IFML scientific agenda can be found at ifml.institute.
Fellows will be able to collaborate with numerous researchers and faculty involved in IFML partner institutions: the Machine Learning Lab at UT Austin, the University of Washington, Microsoft Research (Redmond), and Wichita State University. Fellows will play a leading role in organizing seminars, workshops and other research activities. The anticipated term for a fellowship is one or two years - to be decided at the time of appointment, with the possibility of extension based on mutual agreement. In addition to competitive salary and benefits, the fellowship also includes funding for independent travel to workshops, conferences and other universities and research labs.
Simultaneous applications for a joint Simons-UT ML Research Fellowship are possible! Please indicate a simultaneous application in your materials.
Application Instructions
Submission requirements: a CV, research statement, and two reference letters. Applications will be accepted and reviewed on a rolling basis.

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