Engineering Manager, Research Productivity

Anthropics 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.

Anthropics Research Tools team builds systems that support our large-scale distributed finetuning runs and improve the productivity of researchers. As a manager youll support a team of machine learning and distributed systems experts to make these systems and tools highly efficient support fast iteration on model development and research and evolve the infrastructure continuously to incorporate new research advances.

Our Research Tooling sits at the intersection of almost every technical group at Anthropic. Youll work with research teams to incorporate their innovations into our production finetuning pipeline product teams to help us iterate quickly on customer-oriented model improvements and infrastructure teams to make sure our training runs and data pipelines are as efficient as possible.

Anthropic is an AI safety and research company working to build reliable interpretable and steerable AI systems. We want AI to be safe and beneficial for our customers and society as a whole. Our interdisciplinary team has experience across ML physics policy business and product.

• Prioritize the teams work in collaboration with the technical lead research teams and product teams to support fast iteration on research projects and training runs.

• Design processes (e.g. postmortem review incident response on-call rotations) that help the team operate effectively.

• Coach and support your reports to understand and pursue their professional growth.

• Run the teams recruiting efforts efficiently ensuring we can grow as quickly as we need through a period of rapid growth.

• Believe that advanced AI systems could have a transformative effect on the world and are interested in helping make sure that transformation goes well.

• Are an experienced manager (at least 2 years) and actively enjoy people management.

• Are a quick study: this team sits at the intersection of a large number of different complex technical systems that youll need to understand (at a high level) to be effective.

• Experience working with research teams especially as part of a research to production pipeline

• Strong people management experience: Coaching performance evaluation mentorship career development

• Strong project management skills: Prioritization communicating across team/org boundaries

• Experience recruiting for your team: Predicting staffing needs designing interview loops evaluating candidates and closing them

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

Minimum education: Bachelors 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 arent 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 youre interested in this work. We think AI systems like the ones were 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 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 youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

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. Were 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.

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 aboutour policy for using AI in our application process.