Engineering Manager, Research Productivity
San Francisco, United States · Full-time
- Posted 1mo ago
- From Anthropic’s careers page
- Location
- San Francisco, United States
- Type
- Full-time
- Level
- Senior
- Experience
- 2+ years
- Department
- Engineering
Opens the listing on job-boards.greenhouse.io
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About the role
About the role
Anthropic’s Research Tools team builds systems that support our large-scale, distributed finetuning runs and improve the productivity of researchers. As a manager, you’ll 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.
Responsibilities
- Prioritize the team’s 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 team’s recruiting efforts efficiently, ensuring we can grow as quickly as we need through a period of rapid growth.
You may be a good fit if you
- 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 you’ll need to understand (at a high level) to be effective.
Strong candidates may also have
- 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.
The annual compensation range for this role is listed below. Annual Salary: $405,000 - $850,000 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.
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About Anthropic
AI research and safetyAnthropic researches and builds AI systems, with work spanning model development, safety, and societal impacts.
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