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Computer Science Researcher Jobs in Boston, MA (NOW HIRING)

Applied Researcher II Overview: At Capital One, we are creating trustworthy and reliable AI systems ... PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical ...

Applied Researcher II Overview: At Capital One, we are creating trustworthy and reliable AI systems ... PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical ...

Applied Researcher II At Capital One, we are creating trustworthy and reliable AI systems, changing ... PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical ...

Applied Researcher I Overview: At Capital One, we are creating trustworthy and reliable AI systems ... PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical ...

Applied Researcher I Overview: At Capital One, we are creating trustworthy and reliable AI systems ... PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical ...

Applied Researcher I Overview: At Capital One, we are creating trustworthy and reliable AI systems ... PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical ...

Applied Researcher I Overview: At Capital One, we are creating trustworthy and reliable AI systems ... PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical ...

Applied Researcher I Overview: At Capital One, we are creating trustworthy and reliable AI systems ... PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical ...

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Computer Science Researcher information

See Boston, MA salary details

$32.6K

$122.9K

$178.7K

How much do computer science researcher jobs pay per year?

As of Jul 13, 2026, the average yearly pay for computer science researcher in Boston, MA is $122,867.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,800.00 and $167,300.00 per year, depending on experience, location, and employer.

How much does a computer science researcher make?

The average salary for a computer science researcher varies depending on experience, education, and location, but typically ranges from $70,000 to $120,000 annually. Those with advanced degrees or specialized skills in areas like machine learning or data analysis tend to earn higher salaries. Many researchers also work in academic, government, or industry settings, which can influence compensation levels.

What are the key skills and qualifications needed to thrive as a Computer Science Researcher, and why are they important?

To thrive as a Computer Science Researcher, you need a strong background in algorithms, mathematics, and theoretical computer science, commonly supported by an advanced degree (Master's or Ph.D.) in computer science or a related field. Proficiency in programming languages (such as Python, C++, or Java), research methodologies, and experience with tools like MATLAB, TensorFlow, or research databases is essential. Critical thinking, curiosity, effective communication, and collaboration are crucial soft skills for generating innovative ideas and sharing findings. These skills and qualities are important for advancing the field, producing original research, and successfully working in multidisciplinary teams.

Which CS has the highest salary?

In computer science, roles such as machine learning engineers, data scientists, and AI specialists tend to have the highest salaries due to high demand for expertise in algorithms, programming, and data analysis. Senior positions with advanced skills in deep learning, natural language processing, and cloud computing typically command top compensation levels.

What does a computer science researcher do?

A computer science researcher investigates and develops new algorithms, theories, and technologies related to computing. They often work in academic or industry labs, using programming, data analysis, and modeling skills to advance knowledge in areas like artificial intelligence, cybersecurity, or software development. Their work typically involves conducting experiments, publishing findings, and staying current with technological advancements.

Is computer science dead due to AI?

As a computer science researcher, AI is a rapidly evolving field that complements traditional computer science. AI advances create new research opportunities and require expertise in algorithms, data structures, and programming, ensuring the continued relevance of computer science as a discipline.

What are common challenges faced by Computer Science Researchers when working on collaborative projects?

Computer Science Researchers often collaborate with interdisciplinary teams, which can present challenges such as aligning goals, integrating diverse technical expertise, and managing communication across different fields. Additionally, coordinating schedules and research timelines between multiple contributors can be complex, especially when team members are based in different institutions or countries. Overcoming these challenges requires strong project management skills, clear communication, and adaptability to different working styles.
What are popular job titles related to Computer Science Researcher jobs in Boston, MA? For Computer Science Researcher jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Computer Science Researcher jobs in Boston, MA look for? The top searched job categories for Computer Science Researcher jobs in Boston, MA are:
Infographic showing various Computer Science Researcher job openings in Boston, MA as of July 2026, with employment types broken down into 3% Internship, 77% Full Time, 8% Part Time, 5% Temporary, and 7% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $122,867 per year, or $59.1 per hour.
Postdoctoral Fellow in Computer Science - From Theory to Practice: Reinforcement Learning for Large

Postdoctoral Fellow in Computer Science - From Theory to Practice: Reinforcement Learning for Large

Harvard University

Cambridge, MA • On-site

$67K - $91K/yr

Full-time

Re-posted 12 days ago


Harvard University rating

8.4

Company rating: 8.4 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

80th of 553 rated colleges and universities


Job description

Position
Details
Title
Postdoctoral Fellow in Computer Science - From Theory to Practice: Reinforcement Learning for Large Scale Foundation Model Post-Training
School
Harvard John A. Paulson School of Engineering and Applied Sciences
Department/Area
Kempner Institute and Computer Science
Position Description
We invite applications for a Postdoctoral Fellow to work with Assistant Professor Kianté Brantley at Harvard SEAS and the Kempner Institute. 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 one year, renewable for additional years following performance review and funding availability.
Basic Qualifications
Ph.D. 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
$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
3
Keywords
Machine Learning
Reinforcement Learning
Foundational Models
Post-Training
Large Language Models

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