Research Engineer, Model Evaluations

About the job

You want to design and implement rigorous evaluations to deeply understand the capabilities, personality, and safety of large language models like Claude. You're excited to turn fuzzy notions of "AI intelligence" into clear, well-defined metrics that provide insight to researchers, decision-makers and the public. As a Research Engineer focused on Evaluation, you'll work closely with our research team to design experiments and build evaluation infrastructure. You'll help establish Anthropic as the leader in extremely well-characterized AI systems whose performance is exhaustively measured and validated across a wide range of important tasks. You're energized by the challenge of assessing and steering powerful AI to be safe and beneficial.

About The Role

We are looking for Research Engineers to build evaluations for our Claude family of Large Language Models. Your job will be to design and implement evaluations that allow Anthropic researchers and decision makers, and members of the public, to understand Claude’s abilities and personality. We aim to produce extremely well-benchmarked large language models with known performance on a wide range of tasks, turning ambiguous notions of “intelligence” into clear metrics.

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.

You may be a good fit it you:

• Have significant Python programming experience / machine learning research
• Are excellent at data visualization
• Have experience using Large Language Models such as Claude
• Are results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Enjoy pair programming (we love to pair!)
• Want to learn more about machine learning research
• Care about the societal impacts of your work
• Have clear written and verbal communication
   

Strong candidates may also have experience with:

• Building user interfaces for data analysis
• Developing robust evaluation metrics for language models
• Handling textual dataset sourcing, curation, and processing tasks at scale
• Statistics
   

Representative projects:

• Designing and running a new evaluation that tests Claude’s reasoning capabilities, and creating a compelling visualization that illustrates the results
• Running experiments to determine how prompting techniques affect results on industry benchmarks
• Improving the tooling that researchers use to implement evaluations
• Explaining our evaluations and their results to internal decision makers and Stakeholders
• Collaborating with a research team to develop a robust evaluation for a new model capability they are developing
   

Annual Salary (USD)
The expected salary range for this position is $300k - $405k USD.

Logistics

Location-based hybrid policy: Currently, we expect all staff to be in our office at least 25% of the time.

Deadline to apply : None. Applications will be reviewed on a rolling basis.

US visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, 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.

Compensation and Benefits*

Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.

Equity - On top of this position's salary (listed above), equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.

US Benefits - The following benefits are for our US-based employees:
 

• Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.
• Comprehensive health, dental, and vision insurance for you and all your dependents.
• 401(k) plan with 4% matching.
• 22 weeks of paid parental leave.
• Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
• Stipends for education, home office improvements, commuting, and wellness.
• Fertility benefits via Carrot.
• Daily lunches and snacks in our office.
• Relocation support for those moving to the Bay Area.
   

UK Benefits - The following benefits are for our UK-based employees:
 

• Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.
• Private health, dental, and vision insurance for you and your dependents.
• Pension contribution (matching 4% of your salary).
• 22 weeks of paid parental leave.
• Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
• Health cash plan.
• Life insurance and income protection.
• Daily lunches and snacks in our office.
• This compensation and benefits information is based on Anthropic’s good faith estimate for this position as of the date of publication and may be modified in the future. Employees based outside of the UK or US will receive a different benefits package. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.
   

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. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.

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 based 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.