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Research Scientist Computer Science Jobs (NOW HIRING)

Anduril Industries

Senior Research Scientist

Broomfield, CO · On-site

$99K - $126K/yr

D. in Applied or Computational Mathematics, Electrical Engineering, Computer Science, Controls and Dynamical Systems, Aerospace Engineering, Statistics and Probability, or a related field. * A ...

Goodfire

Research Scientist

San Francisco, CA · On-site

Required : • PhD or equivalent experience in ML, computer science, or a quantitative science. • Deep familiarity with large models and a passion for understanding how they work. • Fluency in ...

NOUS RESEARCH

Research Scientist

New York, NY · On-site

Advanced degree in Computer Science, Artificial Intelligence, Data Science, or related technical fields * Passion for open source AI and decentralized technologies * Experience publishing research ...

Skild AI

Research Scientist

San Mateo, CA

PhD degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience. * Multiple years of experience in conducting research. * Proficiency in Python and at ...

Teledyne FLIR LLC

Research Scientist

Durham, NC · On-site

D. in Applied Mathematics, Computer Science, Electrical Engineering, or a related technical discipline * 0-5 years of post-doctoral or equivalent research experience * Proficiency in scientific ...

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All JobsResearch Scientist Computer Science Jobs

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 Aug 7, 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?

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 does a research scientist 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:
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What job categories do people searching Research Scientist Computer Science jobs look for? The top searched job categories for Research Scientist Computer Science jobs are:
Research Scientist Computer Science jobs near you
Infographic showing various Research Scientist Computer Science job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 92% In-person, 4% Hybrid, and 4% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

Research Scientist IV

PROLIM Global Corporation

Burlingame, CA • On-site

Full-time

Posted 26 days ago

Job description

Organization Overview
Reality Labs Research at Meta is a leading research organization of world-class researchers, developers, and engineers, who collaborate to actively create a future where virtual and augmented reality become as indispensable as today's smartphones and personal computers.
The mission of the Reality Labs Research Audio team is to engineer augmented audio that redefines human hearing capabilities. This will allow us to connect people by facilitating conversation in even the most challenging auditory environment.
Role Summary
We are seeking a contract applied research scientist specializing in building machine learning (ML) models that emulate auditory perception. This role is an integral part of our team, contributing to our research and development efforts. The ideal candidate will help us explore and understand individualized audio quality preferences and experiences, enabling us to tailor our technologies to meet unique user needs.
Responsibilities
  • Drive research on improved machine learning models for speech quality, run computational experiments and report findings.
  • Implement ML models that emulate aspects of human auditory perception.
  • Develop next-gen audio quality models.
  • Independently implement ML training pipelines, models, and evaluation frameworks.
  • Regularly report on project progress, dependencies and risks to stakeholders.
  • Support research scientists and engineers within the team.
  • Execute on applied coding tasks in support of the team's goals.

Minimum Qualifications
  • Interpersonal and communication skills, with strong attention to detail.
  • Proactive with ability to execute on multiple projects simultaneously.
  • Strong organizational and time management skills.
  • Track record of communicating research on ML perception in an academic or industrial setting.
  • Experience working in a fast-paced research and/or product development environment.
  • Experience with Python or other scientific programming languages.
  • Previous experience designing, training, and evaluating neural networks in Pytorch.
  • Experience working in a high performance computing environment.
  • Master's degree or equivalent experience in Computational Neuroscience, Cognitive Science, Electrical Engineering, Perception, Experimental Psychology, Audio Engineering, Acoustics, Computer Science, Computer Engineering, Biomedical Engineering, Computational Audiology or a related field.

Preferred Qualifications
  • PhD degree or equivalent experience.
  • Experience with modeling audio quality.

Top 3 Must-Have HARD Skills
  • Deep Learning for Audio/Speech Processing: The role requires building ML models for speech quality assessment and auditory perception. The candidate must have hands-on experience designing, training, and evaluating neural networks specifically for audio applications using PyTorch (TensorFlow, Keras much less desirable).
  • Psychoacoustic & Perceptual Modeling Expertise: The candidate must understand how humans perceive audio quality, including concepts like speech intelligibility, listening effort, speech degradation, and noise noticeability. This is critical for building models that accurately predict subjective Mean Opinion Scores (MOS) and enable features like Conversation Focus to be evaluated computationally rather than through time-consuming user studies.
  • ML Training Pipeline & Evaluation Framework Development: The role requires independently implementing end-to-end ML pipelines: data preparation, model training, hyperparameter tuning, and evaluation using metrics like MAE, Pearson correlation, SI-SDR, PESQ, STOI. Experience with HPC environments for large-scale training is essential.

Good-to-Have Skills
  • Binaural audio processing and spatial audio quality assessment
  • Speech enhancement experience (noise suppression, dereverberation, speaker separation)
  • Experience with audio-visual ML models (multi-modal learning)
  • Familiarity with hearing science metrics (HASQI, HASPI, PESQ, POLQA)
  • Signal processing fundamentals (DSP, beamforming, acoustic measurements)
  • Experience with human participant research and perceptual data collection
  • Background in computational hearing science or auditory cognitive neuroscience

Apply