Top 315 Research engineer Jobs in Uc Berkeley Ca

Research Scientist/Engineer, Biological Safety
Anthropic —San Francisco, CA
- $300,000 - $405,000 a year
- Hybrid work
- Office
- 8 years
- Analysis skills
- Parental leave
- Flexible schedule
Software Engineer, Research Infrastructure
Anthropic —San Francisco, CA
- $405,000 - $625,000 a year
- Hybrid work
- System design
- Office
- Bachelor's degree
- Parental leave
- Flexible schedule
Staff Research Engineer, Discovery Team
Anthropic —San Francisco, CA
- $350,000 - $850,000 a year
- Hybrid work
- Office
- 8 years
- Bachelor's degree
- Parental leave
- Flexible schedule
Research Associate or Associate Scientist, Genome Engineer
Conception —Berkeley, CA
- Full-time
- Research
- Master's degree
- Bachelor's degree
- Health insurance
Research Engineer (Senior Staff+), Safeguards Labs
Anthropic —San Francisco, CA
- $350,000 - $850,000 a year
- Hybrid work
- Office
- Bachelor's degree
- Experience equivalent to degree accepted
- Parental leave
- Flexible schedule
Research Engineer
Firecrawl —San Francisco, CA
- $210,000 - $275,000 a year
- Full-time
- Remote
- System design
- Mid-level
- Machine learning
- Commuter assistance
- Disability insurance
8d
Senior+ Software Engineer, Research Tools
Anthropic —San Francisco, CA
- $300,000 - $405,000 a year
- Hybrid work
- 5 years
- Office
- Bachelor's degree
- Parental leave
- Flexible schedule
Research Engineer
OpenAI —San Francisco, CA
- $250,000 - $445,000 a year
- Full-time
- Research
- Mid-level
- Fair chance
Research Engineer, Life Sciences
Anthropic —San Francisco, CA
- $350,000 - $500,000 a year
- Hybrid work
- Office
- 8 years
- Bachelor's degree
- Parental leave
- Flexible schedule
Research Engineer, Domain Scaling
Anthropic —San Francisco, CA
- $350,000 - $850,000 a year
- Hybrid work
- Office
- Bachelor's degree
- Experience equivalent to degree accepted
- Parental leave
- Flexible schedule
Research Engineer / Scientist, Frontier Red Team (Cyber)
Anthropic —San Francisco, CA
- $320,000 - $485,000 a year
- Hybrid work
- Office
- Bachelor's degree
- Experience equivalent to degree accepted
- Parental leave
- Flexible schedule
Research Engineer
Gamma —San Francisco, CA
- $180,000 - $340,000 a year
- Full-time
- Computer science
- Computer Science
- Mid-level
- Work from home
Research Infrastructure Engineer, Research Acceleration
Thinking Machines —San Francisco, CA
- $350,000 - $475,000 a year
- Computer science
- Computer Science
- Mid-level
- Paid parental leave
- Dental insurance
Research Engineer, Knowledge Foundations
Anthropic —San Francisco, CA
- $350,000 - $850,000 a year
- Hybrid work
- 5 years
- Office
- Bachelor's degree
- Parental leave
- Flexible schedule
R&D Engineer I
Penumbra —Alameda, CA
- $80,000 - $105,000 a year
- Engineering
- Computer skills
- Ability to lift 25 pounds
- Paid parental leave
- AD&D insurance
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
Research Engineer, Chip Design RL (Reinforcement Learning)
Anthropic —San Francisco, CA
- $500,000 - $850,000 a year
- Hybrid work
- Office
- Bachelor's degree
- Experience equivalent to degree accepted
- Parental leave
- Flexible schedule
9d
Research Engineer, Evals
Variance —San Francisco, CA
- $250,000 - $400,000 a year
- Full-time
- Senior level
- Health insurance
- Dental insurance
Machine Learning Infrastructure Engineer, Safeguards Research
Anthropic —San Francisco, CA
- $350,000 - $500,000 a year
- Hybrid work
- Office
- Bachelor's degree
- Experience equivalent to degree accepted
- Parental leave
- Flexible schedule
22h
Software Engineer, Research Acceleration
Thinking Machines —San Francisco, CA
- $350,000 - $475,000 a year
- Computer science
- Computer Science
- Mid-level
- Paid parental leave
- Dental insurance

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Research Scientist/Engineer, Biological Safety

Anthropic -
San Francisco, CA

Apply Now

Job Details

$300,000 - $405,000 a year

Benefits

Parental leave
Flexible schedule

Qualifications

AI models
Penetration testing
Tooling
Design of experiments
Genetic engineering
Technical research projects
AI implementation
Model evaluation
Python
Cross-functional communication
Assays

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

We are looking for research engineers to build the safety and oversight mechanisms that govern how our models handle biological knowledge. As a bio safety researcher, you will spend your time: designing and running capability evaluations against frontier models, generating and curating training data for our safety classifiers, training and iterating on those classifiers alongside our ML engineers, and measuring how they hold up against adversarial pressure in production traffic.

This work sits at the intersection of applied ML and biosecurity. You will help define what responsible AI safety looks like in the biological domain, translating threat models into evals, datasets, and deployed systems. The core technical tension you will own is precision: safeguards need to be robust against sophisticated actors while staying out of the way of the far larger population of legitimate researchers using Claude to accelerate life sciences work. Getting that tradeoff right is an empirical problem, and you will be the person measuring it.

You do not need to be an ML researcher today. We are looking for strong scientific programmers with real depth in modern biology who want to bring that depth to bear on model evaluation and classifier development.

Key responsibilities

Design, build, and run capability evaluations to assess what new models can do in the biological domain, and turn results into concrete deployment recommendations
Develop training and evaluation datasets for our safety classifiers, working with internal and external threat modeling experts to ground them in realistic risk
Train, tune, and iterate on safety classifiers with ML engineers, optimizing jointly for adversarial robustness and low false-positive rates
Build the tooling and pipelines that make evaluation and classifier development fast and repeatable
Analyze classifier and eval performance against production traffic, identify gaps, and prioritize improvements
Design and run red-teaming and stress-testing of safeguards as threats, models, and product surfaces evolve
Partner with Research, Product, and Policy teams to embed biological safety throughout the model development lifecycle
Contribute to external communications including model cards, blog posts, and policy documents
Track developments in biology, ML, and biosecurity for their potential to create new risks or enable new mitigations

Minimum qualifications

Strong proficiency in Python, and extensive background in scientific programming and data analysis skills
Excellent grasp of ML fundamentals and an ability to rapidly adopt ML development practices
Excellent knowledge of modern biology across both measurement and engineering: high-throughput assays and functional characterization, as well as gene synthesis, genome editing, strain construction, and protein engineering
Ability to build and maintain your own tooling rather than relying on others to implement your ideas
Experience designing quantitative experiments or evaluations and drawing defensible conclusions from noisy results
Strong analytical and writing skills, and the ability to explain technical concepts to non-technical stakeholders
Familiarity with dual-use research concerns and biosecurity frameworks, such as select agent regulations, the Biological Weapons Convention, or Australia Group guidelines
Comfort with ambiguity and with shifting priorities as AI capabilities change
Can work independently while maintaining strong collaboration with cross-functional teams
Are results-oriented, with a bias towards flexibility and impact
Thrive in a fast-paced research environment where you balance rigorous scientific standards with rapid iteration

Preferred qualifications

Experience working with large language models, including prompting, fine-tuning, or evaluation
Experience training or deploying classifiers or other ML systems in production
Experience developing ML methods for biological systems or biological data
Familiarity with adversarial robustness, red-teaming, or safety evaluation of ML systems
Have at least 8 years of hands-on experience in life sciences, with deep expertise in areas such as molecular biology, drug discovery, or computational biology
Experience leading complex technical projects across multiple stakeholder groups

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:

$300,000 - $405,000 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 engineer jobs in uc berkeley ca

Research Scientist/Engineer, Biological Safety

Software Engineer, Research Infrastructure

Staff Research Engineer, Discovery Team

Research Associate or Associate Scientist, Genome Engineer

Research Engineer (Senior Staff+), Safeguards Labs

Research Engineer

Senior+ Software Engineer, Research Tools

Research Engineer

Research Engineer, Life Sciences

Research Engineer, Domain Scaling

Research Engineer / Scientist, Frontier Red Team (Cyber)

Research Engineer

Research Infrastructure Engineer, Research Acceleration

Research Engineer, Knowledge Foundations

R&D Engineer I

Research Engineer, Computer Use

Research Engineer, Chip Design RL (Reinforcement Learning)

Research Engineer, Evals

Machine Learning Infrastructure Engineer, Safeguards Research

Software Engineer, Research Acceleration

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