Engineering Manager, Research Tools & Systems
Listed on 2026-05-29
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IT/Tech
Data Scientist, AI Engineer (Applied/Software), Data Science Manager
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.
About
The Role:
Anthropic’s Research Tools team builds systems that support our large-scale, distributed fine tuning 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.
Our Research Tooling sits at the intersection of almost every technical group ’ll work with research teams to incorporate their innovations into our production fine tuning 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.
About Anthropic:
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.
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.
- 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.
- 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
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$1—$2 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.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every…
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