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Research Scientist Computer Science Jobs (NOW HIRING)

Senior Research Scientist

Palo Alto, CA · On-site

$115K - $147K/yr

Required : • PhD degree in Computer Science or related field • Strong background in machine learning, deep learning, and natural language processing • Familiarity with training distributed ...

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or ... Research-oriented software engineering skills (SciPy ecosystem/ML tools, MATLAB) Preferred ...

Research Scientist Position: Full time Location: Carlsbad office About Us: NTENT provides a ... Graduate degree (PhD preferred) in Computer Science, Linguistics, Statistics, Computational Social ...

Research Scientist Position: Full time Location: Carlsbad office About Us: NTENT provides a ... Graduate degree (PhD preferred) in Computer Science, Linguistics, Statistics, Computational Social ...

Research Scientist

Manhattan, NY · On-site

$110K - $130K/yr

The Research Scientist will help develop short- and long-term work goals for data analysts and ... PhD in electrical engineering, bioengineering, computer science, biophysics, appliedmathematics, or ...

... Computer Science, Computer Engineering, relevant technical field, or equivalent practical ... Research background in machine learning, artificial intelligence, robot learning, computational ...

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Research Scientist Computer Science information

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$50.5K

$130.1K

$174K

How much do research scientist computer science jobs pay per year?

As of Jul 18, 2026, the average yearly pay for research scientist computer science in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Research Scientist in Computer Science, you need advanced knowledge of algorithms, data structures, and computational theory, typically supported by a Ph.D. or relevant graduate degree. Proficiency with programming languages (such as Python, C++, or Java), data analysis tools, and version control systems is essential, and experience with machine learning frameworks or high-performance computing can be advantageous. Critical thinking, creativity, and effective communication are vital soft skills for formulating innovative research questions and collaborating across multidisciplinary teams. These skills enable the development of pioneering solutions, clear dissemination of findings, and significant contributions to the advancement of technology.

How do Research Scientists in Computer Science typically collaborate with other professionals on interdisciplinary projects?

Research Scientists in Computer Science often work closely with experts from diverse fields such as data science, engineering, healthcare, or social sciences, depending on the project's focus. Collaboration usually involves joint problem-solving, sharing domain-specific knowledge, and integrating different methodologies to address complex research questions. Communication skills are crucial, as scientists must translate technical concepts for non-technical stakeholders and ensure all team members are aligned on goals and deliverables. Regular meetings, shared documentation, and collaborative software tools are commonly used to facilitate effective teamwork.

What is the difference between Research Scientist Computer Science vs Data Scientist?

AspectResearch Scientist Computer ScienceData Scientist
Required CredentialsAdvanced degrees in CS or related fields, research experienceDegree in CS, statistics, or related fields; data analysis certifications
Work EnvironmentResearch labs, academia, R&D departmentsCorporate offices, tech companies, analytics firms
Employer & Industry UsageUniversities, research institutions, tech companiesBusiness, finance, healthcare, tech industries
Common Search & Comparison IntentUnderstanding research roles in CSData analysis and application roles

Research Scientist Computer Science focuses on advancing knowledge through research, often in academic or R&D settings, requiring strong research credentials. Data Scientist emphasizes analyzing and interpreting data to inform business decisions, typically in industry settings. While both roles require technical skills, their work environments and objectives differ significantly.

What does a Research Scientist in Computer Science do?

A Research Scientist in Computer Science explores new theories, models, and technologies to advance the field. They conduct experiments, analyze data, and publish findings in scientific journals or conferences. Their work often involves collaborating with other researchers, developing prototypes, and contributing to innovations in areas like artificial intelligence, machine learning, cybersecurity, or data science. The goal is to solve complex problems and push the boundaries of what computers and algorithms can achieve.
More about Research Scientist Computer Science jobs
What cities are hiring for Research Scientist Computer Science jobs? Cities with the most Research Scientist Computer Science job openings:
What states have the most Research Scientist Computer Science jobs? States with the most job openings for Research Scientist Computer Science jobs include:
AI Research Scientist, FAIR Chemistry

AI Research Scientist, FAIR Chemistry

Meta

San Francisco, CA

$184K/yr

Full-time

Posted 12 hours ago


Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

135th of 209 rated software companies


Job description

Meta is seeking Research Scientists to join the Fundamental AI Research (FAIR) Chemistry team. The Chemistry team develops AI-based methods to model the world at the atomic level. Chemistry and materials science applications include energy sustainability, drug discovery and new materials for display technologies. Researchers will drive fundamental methods development to enable predictive and generative AI models across these applications. They will work with an interdisciplinary team of domain scientists, AI experts, and software engineers, as well as academic and industrial partners.
AI Research Scientist, FAIR Chemistry Responsibilities:
  • Provide technical leadership for a scientific direction in AI for science
  • Perform research that advances the state-of-the-art in AI for chemistry and materials science
  • Work closely with internal and external partners to realize impact of methods advances
  • Work towards long-term goals, while identifying intermediate milestones
  • Influence progress of relevant research communities by producing publications
  • Open source high quality code and produce reproducible research

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • A PhD in AI, computer science, data science, science/engineering, or related technical fields
  • First-authored or last-authored publications at peer-reviewed conferences, such as ICML, NeurIPS, ICLR, and other similar venues
  • 4+ years experience holding an industry, postdoctoral, faculty, or government researcher position
  • Research background in machine learning, artificial intelligence, computational statistics, applied mathematics, AI for science, or related areas
  • Experience in developing and debugging in Python or similar programming languages

Preferred Qualifications:
  • Research and engineering experience demonstrated via publications, grants, fellowships, patents, open source code
  • Experience collaborating in a team environment on research projects
  • Experience in applying AI systems to solve science and engineering problems
  • Experience in molecular simulations, long timescale dynamics, or generative models

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$184,000/year to $257,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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