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Machine Learning Fellow Jobs (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

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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 Jul 12, 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
Infographic showing various Machine Learning Fellow job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 91% Physical, and 9% Remote job distribution, with an average salary of $59,022 per year, or $28.4 per hour.
Post Doctoral Fellow in Machine Learning and Data Science

Post Doctoral Fellow in Machine Learning and Data Science

Emory University

Flowery Branch, GA

$44K - $61K/yr

Full-time

Re-posted 10 days ago


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Job description

Discover Your Career at Emory University

Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community.

Description

The Emory Sports Performance And Research Center (SPARC) is seeking a highly motivated postdoctoral fellow to conduct research in advanced prediction and optimization modeling.

An ideal candidate would use their foundational knowledge of various modeling methods to develop and apply cutting-edge machine learning and data analysis techniques for assessing and modifying injury risk and performance in professional sports based on a large array of multimodal data sources. As part of this fellowship, they will have the opportunity to engage with a community of world-renowned scientists in the field of machine learning, musculoskeletal modeling, and human physiology to further advance their skills and grow their network for future opportunities.

JOB DESCRIPTION:

  • Helps design and conduct research within a specified field while receiving advanced training from a designated Principal Investigator to enhance professional skills and research independence needed for pursuit of a career.
  • The specific area of research in which the trainee is mentored is determined by the department and laboratory of the Postdoc. Designs and evaluates experiments.
  • Develops new ideas that promote current research.
  • Prepares and publishes scientific manuscripts under the direction of the Principal Investigator.
  • May be responsible for operation of specific equipment. 
  • May teach techniques to others, train, and supervise research staff.
  • Positions are temporary appointments as a research trainee.
  • The initial appointment is for one year, renewal expected if progress is satisfactory and funds are available.
  •  Appointments cannot exceed five years.

MINIMUM QUALIFICATIONS:

  • A doctoral degree or equivalent (Ph.D., M.D., ScD., D.V.M., DDS etc) in an appropriate field.
  • Excellent scientific writing ability and strong oral communication skills.
  • The ability to work effectively and collegially with colleagues.
  • Additional qualifications as specified by the Principal Investigator.

PREFERRED MINIMUM QUALIFICATIONS:

  • A Ph.D. in Computer Science, Data Science, Economics, Engineering, or related field
  • Excellent scientific written and oral skills
  • Experience in developing state-of-the-art optimization and prediction models
  • Strong programming skills
  • Experience in organizing and handling large, multimodal data sets

PREFERRED QUALIFICATIONS:

  • Experience using AWS and other high performance computing platforms
  • Experience using Databricks, Snowflake, and/or similar data analytics platforms
  • Knowledge of human musculoskeletal anatomy
  • Experience developing human pose estimation and biomechanics models
  • Experience in musculoskeletal modeling/OpenSim and muscle optimization
  • Interest in improving health and performance outcomes in collegiate and professional sports

NOTE: Position tasks are required to be performed in-person at an Emory University location; working remote is not an option. Emory reserves the right to change this status with notice to employee.

Additional Details

Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Telephone: 404-727-9867 (V) | 404-712-2049 (TDD). Emory University is committed to ensuring equal access and providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to seek a reasonable accommodation, please contact the Department of Accessibility Services at accessibility@emory.edu or call 404-727-9877 (Voice) | 404-712-2049 (TDD). We kindly ask that requests be made at least seven business days in advance to allow adequate time for coordination.

Employment Type: FULL_TIME

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