Engineering Manager, Research Tools
Manage a team of ML and distributed systems engineers building research tools and production finetuning infrastructure. Drive prioritization, recruiting, coaching, and process design to accelerate research iteration.
About the job
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.
Requirements
- At least 2 years of people management experience and actively enjoy people management.
- Quick study: able to understand at a high level a large number of different complex technical systems.
- Bachelor’s degree or an equivalent combination of education, training, and/or experience in a field relevant to the role.
Nice-to-Haves
- 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.
Skills
Machine Learning, Distributed Systems, Research Infrastructure, Finetuning Pipelines, People Management, Project Management, Recruiting, Incident Response, Postmortem Reviews, Cross-Functional Collaboration
Similar jobs
Engineering Management jobsLeads the engineering team responsible for ChatGPT Search Infrastructure, setting technical direction for scalable, low-latency search platforms and integrations. Requires experience managing senior engineers and deep expertise in distributed systems, online serving, experimentation, and AI-powered products.
Leads and mentors a software engineering team building reliable, high-performance simulation products, while guiding technical execution, prioritization, and hiring. Requires a bachelor’s degree, programming experience in C++, Python, or Java, people-management experience, and eligibility for a US Government security clearance.
Leads and codes alongside a team building secure, cloud-native AI model inference infrastructure for public-sector customers. Requires engineering people-management experience, strong hands-on software development skills, and an active Secret clearance with eligibility for TS/SCI.
Leads a platform engineering team responsible for shared systems, identity, permissions, session management, and messaging infrastructure. The manager owns delivery and architecture, develops engineers, embeds AI into development workflows, and partners closely with Product and Design.
Leads and grows an engineering team building new products from initial market hypothesis through commercial launch. The role requires at least five years of software engineering experience, engineering leadership, strong architecture judgment, and comfort operating in ambiguous 0-to-1 environments.