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Machine Learning Fellow Jobs (NOW HIRING)

Capgroup

Machine Learning Engineer II

Los Angeles, CA · On-site

$105K - $143K/yr

... machine learning models, data pipelines, and analytical systems to significantly enhance our ... In this role, you will collaborate directly with senior investment professionals and fellow ...

Capgroup

Machine Learning Engineer II

Seattle, WA · On-site

$111K - $151K/yr

... machine learning models, data pipelines, and analytical systems to significantly enhance our ... In this role, you will collaborate directly with senior investment professionals and fellow ...

Capgroup

Machine Learning Engineer II

Irvine, CA · On-site

$104K - $143K/yr

... machine learning models, data pipelines, and analytical systems to significantly enhance our ... In this role, you will collaborate directly with senior investment professionals and fellow ...

Govini

Senior Machine Learning Engineer

Pittsburgh, PA · On-site

$118K - $156K/yr

... edge machine learning technology that automates complex processes, enabling end-users to make ... fellow taxonomists, software engineers, data scientists, data engineers, and QA engineers ...

Worcester Polytech

Post-Doctoral Fellow

Worcester, MA

$45K - $70K/yr

The position also involves the integration of machine learning and AI-assisted approaches into ... The postdoctoral fellow will: * Perform advanced first-principles calculations primarily using VASP

Artera

Machine Learning Engineer (Platform)

OR · Remote

You'll work closely with AI model developers, fellow machine learning engineers, and our platform engineering team. You'll ensure that Artera's model developers can rely on highly efficient, large ...

Artera

Machine Learning Engineer (Platform)

$140K - $180K/yr

You'll work closely with AI model developers, fellow machine learning engineers, and our platform engineering team. You'll ensure that Artera's model developers can rely on highly efficient, large ...

University of Colorado

Post-Doctoral Fellow

Aurora, CO

$49K - $67K/yr

Postdoctoral Fellow Position #00848430: - Requisition #:39971 Job Summary: The Pividori Lab (pivlab ... Dr. Milton Pividori) designs and implements machine-learning methods that are applied to human ...

University of Colorado

Post-Doctoral Fellow

Aurora, CO · On-site

$49K - $67K/yr

Postdoctoral Fellow Position #00848430: - Requisition #:39971 Job Summary: The Pividori Lab (pivlab ... Dr. Milton Pividori) designs and implements machine-learning methods that are applied to human ...

Worcester Polytech

Post-Doctoral Fellow

Worcester, MA · On-site

$65K - $75K/yr

JOB TITLE Post-Doctoral Fellow LOCATION Worcester DEPARTMENT NAME Computer Science - NFR JM ... The project is sponsored by a National Institutes of Health grant aimed at using machine learning ...

Govini

Senior Machine Learning Engineer

Pittsburgh, PA

$114K - $150K/yr

Senior Machine Learning Engineer Pittsburgh, Pennsylvania, United States Company Description Govini ... Collaborate closely with fellow taxonomists, software engineers, data scientists, data engineers ...

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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.
Postdoctoral Fellow Application of Machine Learning and Robotics

Postdoctoral Fellow Application of Machine Learning and Robotics

Florida Atlantic University

Harbor, OR

$55K - $65K/yr

Full-time

Posted 2 hours ago

Florida Atlantic University rating

6.6

Company rating: 6.6 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

428th of 538 rated colleges and universities

Job description

Apply now to join FAU on its race to excellence.

For more information on everything FAU has to offer, please visit www.fau.edu/jobs.

Note: Current FAU employees must apply as an internal applicant by logging into their existing Workday employee account.

Position Summary:

Florida Atlantic University's Systems and Imaging Laboratory (SAIL) at Harbor Branch Oceanographic Institute in Fort Pierce, FL, is seeking a 12-month, non-tenure Postdoctoral Fellow position. Extension of the appointment beyond one year is possible, depending on funding availability and performance.

This position will focus on developing robotics and cyber physical systems solutions using machine learning and artificial intelligence to support different aspects of marine science, with opportunities to expand to other areas.

Currently, SAIL is conducting multiple projects ranging from Hybrid Aerial Underwater Robotic System (HAUCS)- a cyber physical system (CPS) for aquaculture, to sensors and platforms for maritime applications. In this position, your primary task will be to lead the development of algorithms, software, and hardware to extend the current HAUCS framework.

This includes developing the sensors, sensing robotic platforms, environmental prediction models, and visualization tools as needed. Additional tasks include field experiments to test the instruments and validate models; preparing data reports and presentations for technical conferences; publishing results in peer-reviewed journals; and mentoring students and junior scientists. There will also be opportunities to work on other related projects, including the application of AI to solve underwater vision problems and Phase III of the Next Generation Sensor Systems for Natural Oceanic Bioluminescence Assessments. The Postdoctoral Fellow will be able to grow his/her skills in research and grant writing by taking an active role in identifying funding opportunities and developing grant proposals.

Minimum Qualifications:

- A doctorate (foreign equivalent acceptable) in electrical engineering, computer
science, engineering, or related area.
- A team player who is willing to train junior scientists in the lab.
- Expertise in robotics and unmanned aerial vehicle development, in particular electronic hardware design and embedded system development.
- Comprehension of common machine learning algorithms and image analysis.
- Independent, self-motivated, well-organized, and critical thinker.
- Good written and verbal communication skills.

Salary:

$55,000.00 - $65,000.00

College or Department:

Harbor Branch Oceanographic Institute/Systems and Imaging Lab (SAIL)

Location:

Harbor Branch (HBOI)

Work Days and Hours:

N/A

Application Deadline:

2026-06-30

Special Instructions to Applicant:

This position is open until filled and may close without prior notice.
This position is subject to funding.
All applicants must apply electronically to the currently posted position on the Office of Human Resources' job website (https://fau.edu/jobs) by completing the required employment application for this recruitment and submitting the related documents.
Required Documents:
FAU's Career Page permits the attachment of required/requested documentation.
PLEASE NOTE: A maximum of five (5) documents may be attached to your application. If more than five (5) documents are required for submission, please combine additional documents into a single attachment to not exceed the maximum permitted.
The site permits the attachment of required/requested documentation. Candidates wishing full consideration are to provide the following: a cover letter, curriculum vitae, statement of interest, transcripts, and contact information for three professional references including email addresses and phone numbers.
Transcripts:
Final candidate will be required to have official, sealed transcripts and original NACES evaluation, if applicable, sent from their educational institution to Human Resources prior to the start of employment.
Background Screening:
Selected candidates must successfully complete and pass all employment screenings prior to the start of employment. Employment screenings may include a criminal background check (level I and level II), motor vehicle check, credit check, reference checks, alcohol, and drug screening check.
Accommodations:
Individuals requiring accommodation, please call 561-297-3057. 711

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