Research Engineer

You want to build large scale ML systems from the ground up. You care about making safe, steerable, trustworthy systems. As a Research Engineer, you'll touch all parts of our code and infrastructure, whether that's making the cluster more reliable for our big jobs, improving throughput and efficiency, running and designing scientific experiments, or improving our dev tooling. You're excited to write code when you understand the research context and more broadly why it's important.

Role-specific policy: For this role, we prefer candidates who are able to be in our office more than 25% of the time , though we encourage you to apply even if you don’t think you will be able to do that.

---

LinkedIn tracking: #LI-DNI

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.

Benefits - Benefits we offer include:

- 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.

- 21 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.

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 , Mulitmodal Neurons , Scaling Laws , AI & Compute , Concrete Problems in AI Safety , and Learning from Human Preferences .

---

Company-wide hybrid policy: Currently, we expect all staff to be in our office at least 25% of the time. However, different roles may have different requirements - if this role has a different preference, it will be noted above.

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

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.

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.