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Online Machine Learning Postdoc Jobs in Boston, MA

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Postdoctoral Research Associate

Boston, MA · On-site

$60.31 - $85.19/hr

## Postdoctoral Research AssociateApplylocations: Boston, MA (Main Campus)time type: Full timeposted ... Coding and/or machine learning experience **Key Responsibilities & Accountabilities*** Conduct ...

New

OneScreen

Founding Machine Learning Engineer

Boston, MA · On-site

Stand up offline and online evaluation infrastructure - measure the gap between them, don't assume ... Real ranking and matching modeling fluency - learning-to-rank, retrieval and re-rank patterns, not ...

OneStudyTeam

Senior Machine Learning Engineer

Boston, MA · Remote

$140K - $190K/yr

Our cloud-based platform, StudyTeam, brings research site workflows online and enables sites ... By joining our team as a Senior Machine Learning Engineer , you will play a pivotal role in ...

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Online Machine Learning Postdoc information

See Boston, MA salary details

$25.5K

$56.5K

$74.4K

How much do online machine learning postdoc jobs pay per year?

As of Sep 4, 2026, the average yearly pay for online machine learning postdoc in Boston, MA is $56,452.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $65,200.00 per year, depending on experience, location, and employer.

What is the difference between Online Machine Learning Postdoc vs Data Scientist?

AspectOnline Machine Learning PostdocData Scientist
Required CredentialsPhD in Computer Science, Machine Learning, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field; often a PhD is preferred but not required
Work EnvironmentAcademic research settings, universities, research labsIndustry companies, tech firms, startups, corporate analytics teams
Employer & Industry UsagePrimarily academic, research-focused roles in universities or research institutionsCommercial sector, product development, data analysis, and business intelligence

The Online Machine Learning Postdoc typically focuses on academic research, exploring new algorithms and theories in machine learning, often in a university setting. In contrast, a Data Scientist applies machine learning techniques to solve real-world business problems in industry. While both roles require strong technical skills, the Postdoc emphasizes research and publication, whereas Data Scientists focus on data analysis and product development.

What are popular job titles related to Online Machine Learning Postdoc jobs in Boston, MA?

For Online Machine Learning Postdoc jobs in Boston, MA, the most frequently searched job titles are:

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The top searched job categories for Online Machine Learning Postdoc jobs in Boston, MA are:

What cities near Boston, MA are hiring for Online Machine Learning Postdoc jobs?

Cities near Boston, MA with the most Online Machine Learning Postdoc job openings:

Online Machine Learning Postdoc jobs near you

Postdoctoral Fellowship in Electrical and Computer Engineering

Harvard University

Cambridge, MA • On-site

$67K - $91K/yr

Full-time

Re-posted 15 days ago

Harvard University rating

8.5

Company rating: 8.5 out of 10

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82nd of 628 rated colleges and universities

Job description

Position
Details
Title
Postdoctoral Fellowship in Electrical and Computer Engineering
School
Harvard John A. Paulson School of Engineering and Applied Sciences
Department/Area
Computer Science
Position Description
The John A. Paulson School of Engineering and Applied Sciences (SEAS) and the Department of Statistics at Harvard University seeks applicants for a postdoctoral fellow in Electrical and Computer Engineering.
This position is for a Postdoctoral Scholar in the area of information theory and artificial intelligence at the Harvard Information Theory Laboratory The successful candidate will work under the supervision of Prof. Flavio Calmon at Harvard SEAS. The postdoctoral researcher will develop information-theoretic methods for alignment, privacy, and reliability in modern AI systems.
Basic Qualifications
Applicants must have a PhD in Computer Science, Electrical Engineering, Applied Mathematics, or a related discipline, or be confident of its completion by the start of this position.
Additional Qualifications
Successful candidates will have publications in information theory and machine learning venues, such as IEEE Transactions on Information Theory, ISIT, NeurIPS, ICML, ICLR, and ACM FAccT. Experience in machine learning and information theory, and expertise in at least one of the following areas is preferred: AI alignment, (differential) privacy, and coding or information theory for AI systems. Proficiency in Python and experience with GPU cluster environments (e.g., SLURM) are a plus.
Special Instructions
Please provide a CV, a Research Statement, and two or more letters of recommendation.
The target start date is September 2026 (flexible). The position is funded for two years.
Contact Information
Sarah Gayer
Contact Email
sgayer@seas.harvard.edu
Salary Range
$67,600 - $91,826
Pay offered to the selected candidate is dependent on factors such as rank, years of experience, training or qualification, field of scholarship, and accomplishments in the field
Minimum Number of References Required
2
Maximum Number of References Allowed
5
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