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Helper Reinforcement Learning Jobs in Everett, MA

Bostondynamics

Staff, ML Research Scientist

Waltham, MA · On-site

$154K - $192K/yr

Every day you will help research, design, and build innovative machine learning models and ... Deep Reinforcement Learning. * Knowledge of state of the art work in related areas of computer ...

Boston Dynamics

Staff, ML Research Scientist

Waltham, MA · On-site

$154K - $192K/yr

Every day you will help research, design, and build innovative machine learning models and ... Deep Reinforcement Learning. * Knowledge of state of the art work in related areas of computer ...

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Helper Reinforcement Learning information

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How much do helper reinforcement learning jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for helper reinforcement learning in Everett, MA is $16.92, according to ZipRecruiter salary data. Most workers in this role earn between $14.86 and $18.08 per hour, depending on experience, location, and employer.

What is the difference between Helper Reinforcement Learning vs Data Scientist?

AspectHelper Reinforcement LearningData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; knowledge of reinforcement learningDegree in Data Science, Statistics, Computer Science; proficiency in programming and analytics
Work EnvironmentResearch labs, AI development teams, tech companiesBusiness analytics, research, consulting firms, tech companies
Industry UsageAI development, machine learning projectsData analysis, predictive modeling, business insights
Common Search/ComparisonHelper Reinforcement Learning vs Data Scientist

Helper Reinforcement Learning focuses on developing algorithms that enable machines to learn through interactions, often requiring knowledge of reinforcement learning techniques. Data Scientists analyze data to extract insights, build models, and support decision-making. While both roles involve programming and data handling, Helper Reinforcement Learning is more specialized in AI algorithm development, whereas Data Scientists work broadly across data analysis and modeling in various industries.

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Pre-Doctoral Fellow: Reinforcement Learning for Large Scale Foundation Model Post-Training

Cambridge, MA • On-site

Harvard University
Colleges, Universities, and Professional Schools • 51 - 200 employees

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

82nd of 625 rated colleges and universities

Good employer

Respectful managers

Good training

Learn more about Harvard Universityexternal

$50K - $70K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Details

Title Pre-Doctoral Fellow: Reinforcement Learning for Large Scale Foundation Model Post-Training

School Harvard John A. Paulson School of Engineering and Applied Sciences

Department/Area Computer Science

Position Description

We invite applications for a Fellow to work with Assistant Professor Kianté Brantley at Harvard SEAS . The lab's research focuses on improving the capabilities of foundation models using reinforcement learning—from theory to practice. This position will emphasize large‐scale reinforcement learning for post‐training, studying both practical and theoretical issues pertaining to post‐training techniques.

Successful candidates must be able to work as part of a team performing research to support the project. Additional responsibilities include preparing publications and reports, mentoring graduate students, and collaborating with other groups. Successful candidates will be self-motivated, have a strong work ethic, be technically skilled, and have strong oral and written skills. Start dates are flexible, but the positions will be filled as soon as possible and will initially be for 6 months, renewable for an additional 6 months following performance review and funding availability.

Basic Qualifications

BA/BS in computer science, applied physics, applied math, or a related discipline.

Additional Qualifications

Individuals with a demonstrated track record in scientific research, which can be evidenced through publications, technical reports, or impactful software projects.

Special Instructions

A complete application must include a curriculum vitae, 2–5 letters of reference, 2 publication samples, and a 1–2‐page research statement. In your cover letter, please also address the following supplemental questions: (1) What sorts of projects would you like to carry out in the lab? (2) What are your greatest strengths, and what areas would you like to improve?

Contact Information

Anana Charles, Faculty Coordinator

Contact Email acharles@seas.harvard.edu

Salary Range

$50,000 – $70,000

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 3

Keywords

Machine Learning

Reinforcement Learning

Foundational Models

Post-Training

Large Language Models

EEO/Non-Discrimination Commitment Statement

Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes.

Harvard has an equal employment opportunity (https://pa-hrsuite-production.s3.amazonaws.com/606/docs/1678254.pdf) policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's non-discrimination policy (https://pa-hrsuite-production.s3.amazonaws.com/606/docs/1674140.pdf) . Harvard's equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.

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