Top 344 Research computer scientists Jobs in San Francisco, Ca

Research Engineer, Computer Use
Anthropic —San Francisco, CA
- $500,000 - $850,000 a year
- Hybrid work
- Mid-level
- Office
- Bachelor's degree
- Parental leave
- Flexible schedule
5d
Research Scientist - Computer Vision
Epsilon Labs, Inc. —San Francisco, CA
- Full-time
- 6 years
- Senior level
- Radiology
Research Engineer - Brain Computer Interface Models
Zyphra —San Francisco, CA
- Full-time
- Analysis skills
- Senior level
- Communication skills
- Health insurance
- Dental insurance
AI Research Engineer
Logic —San Francisco, CA
- $59,100 - $196,000 a year
- Full-time
- Azure
- Computer Science
- Mid-level
- Paid holidays
- Disability insurance
Computer Vision Research Engineer
Bobyard —San Francisco, CA
- $160,000 - $200,000 a year
- Full-time
- Senior level
Quick Apply
Research, Pre-Training Data
Thinking Machines —San Francisco, CA
- $350,000 - $475,000 a year
- Computer science
- Computer Science
- Mid-level
- Paid parental leave
- Dental insurance
AI Researcher (Computer Vision/Multimodal/Generative AI)
SpreeAI —San Francisco, CA
- Computer Science
- Doctor of Philosophy
- Senior level
12d
Computer Vision, Applied Research Scientist
Boon Technologies, Inc. —San Francisco Bay Area, CA
- $170,000 - $250,000 a year
- Full-time
- System design
- English
- 3 years
Platform Research Engineer
Applied Compute —San Francisco, CA
- Full-time
- System design
- Office
- Senior level
- Paid parental leave
- Health insurance
AI Research Resident
Polymath —San Francisco, CA
- Contract
- Remote
- Computer science
- Computer Science
- Entry level
Quick Apply
Staff Research Engineer, Data Agents
Databricks —San Francisco, CA
- $190,000 - $270,000 a year
- Computer science
- Computer Science
- Bachelor of Science
8d
AI Research Software Engineer
Lawrence Berkeley National Laboratory —San Francisco Bay Area, CA
- $9,761 - $16,473 a month
- Full-time
- Hybrid work
- Background check
- Computer Science
- System design
- Health insurance
- 401(k)
Founding AI Research Engineer - Robot Learning
Origin —San Francisco, CA
- $100,000 - $300,000 a year
- Full-time
- Computer Science
- Bachelor of Science
- System design
Quick Apply
AI Research Scientist
Xterra AI —San Francisco, CA
- Full-time
- Mid-level
- Mentoring
- Under 1 year
Quick Apply
Research, Audio Expertise
Thinking Machines —San Francisco, CA
- $350,000 - $475,000 a year
- Computer science
- Computer Science
- Mid-level
- Paid parental leave
- Dental insurance
Research, Post-Training Data
Thinking Machines —San Francisco, CA
- $350,000 - $475,000 a year
- Computer science
- Computer Science
- Math
- Paid parental leave
- Dental insurance
Research, Mid-Training
Cognition AI —San Francisco, CA
- Full-time
- Mid-level
- Math
- Doctor of Philosophy
AI Research Engineer
Cogent Security —San Francisco, CA
- $100,000 - $300,000 a year
- Full-time
- Computer Science
- Bachelor of Science
- Analysis skills
Research Scientist
Goodfire —San Francisco, CA
- $200,000 - $400,000 a year
- Computer science
- Computer Science
- Writing skills
Member of Technical Staff, Research
The Token Company —San Francisco, CA
- $120,000 - $350,000 a year
- Full-time
- Mid-level
- APIs
Quick Apply

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Research Engineer, Computer Use

Anthropic -
San Francisco, CA

Apply Now

Job Details

$500,000 - $850,000 a year
5 days ago

Benefits

Parental leave
Flexible schedule

Qualifications

Software engineering
Software development
Machine learning (ML) fundamentals
Python
Cross-functional communication

Full Job Description

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

The Computer Use team focuses on teaching Claude to see, use, and understand computer interfaces. As a Research Engineer on the team, you'll work on advancing our models' ability to reliably and safely operate real software. We're looking for someone who's genuinely excited about both the research and the product sides of computer use.

Your work will translate directly into model improvements in our own and our customers' products. You can try Claude's computer use capabilities today through the Claude in Chrome extension and Claude Cowork.

Key Responsibilities:

Design and run experiments to improve Claude's perception and agentic capabilities
Develop robust, reliable evaluation frameworks for measuring our models' ability to complete complex computer tasks
Build and improve computer use and vision reinforcement learning training environments
Create pipelines and tools to test and validate complex RL environments
Collaborate with teams across the model training and infrastructure stack to improve our production training setup
Partner with product teams to bring research advances into production

Minimum Qualifications:

Software engineering experience and proficiency in Python
Experience training, fine-tuning, or evaluating machine learning models
Strong communication skills and a collaborative working style
Care about the societal impacts and safety of your work

Preferred Qualifications:

Experience training models for computer use or other agentic capabilities
Experience with reinforcement learning, particularly in long-horizon or sparse-reward settings
Familiarity with multimodal model training
Experience building evaluations or benchmarks for agentic systems
Experience building reinforcement learning environments, simulation systems, or large-scale ML infrastructure
Experience working closely with product teams to drive model improvements

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

$500,000 - $850,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Apply Now

Refine Your Search

research computer scientists jobs in san francisco, ca

Research Engineer, Computer Use

Research Scientist - Computer Vision

Research Engineer - Brain Computer Interface Models

AI Research Engineer

Computer Vision Research Engineer

Research, Pre-Training Data

AI Researcher (Computer Vision/Multimodal/Generative AI)

Computer Vision, Applied Research Scientist

Platform Research Engineer

AI Research Resident

Staff Research Engineer, Data Agents

AI Research Software Engineer

Founding AI Research Engineer - Robot Learning

AI Research Scientist

Research, Audio Expertise

Research, Post-Training Data

Research, Mid-Training

AI Research Engineer

Research Scientist

Member of Technical Staff, Research

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