We generally expect Research Scientists to be able to iterate on their own experiments. We also provide opportunities for engineers to pursue their own research projects. Therefore this role can be more research oriented or more engineering oriented, depending on the experience and interests of the candidate.
Note: Currently, the team has a preference for candidates who are able to be based in the Bay Area. However, we remain open to any candidate who can meet the organization's 25% in-person policy.
About Anthropic
Representative projects:
- Help develop novel finetuning techniques to improve language model behavior and make models more helpful, honest, and harmless
- Test out techniques like constitutional AI at scale and measure their impacts on model behavior
- Build tooling and infrastructure to enable efficient fine-tuning experiments on large language models
- Develop novel prompts and prompting strategies to improve and test model behaviors
- Run experiments that feed into key AI research and safety efforts at Anthropic
You may be a good fit if you:
- Have significant Python, machine learning, Research Engineering, or research experience
- Prefer fast-moving collaborative projects with concrete goals that involve improving model behaviors
- Are results-oriented, with a bias towards flexibility and impact
- Pick up slack, even if it goes outside your job description
- Care about the impact of AI and of your work
Strong candidates may also:
- Haver prior experience with large language model finetuning techniques such as RLHF
- Have experience with complex shared codebases and RL infrastructure
- Have experience authoring research papers in machine learning, NLP, or AI alignment or similar industry experience
Annual Salary (USD)
- The expected salary range for this position is $280k - $600k USD.
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*
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
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!