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Manager, Research Scientist
Scale AIAI Infrastructure company
San Francisco, United States$290,400 - $363,000 USDManager
Accel
Y Combinator
Founders Fund
Index Ventures
Coatue
Meta
Data & AI
About the role
TL;DR
Lead a team of research scientists and engineers in GenAI research.
- •Scale AI accelerates the development of AI systems by providing the data, infrastructure, and tooling that power the most advanced models in the world.
- •As a Research Scientist Manager, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment.
- •Key Responsibilities Lead, mentor and grow a team of research scientists and engineers working on GenAI research initiatives.
- •Define and drive a multi-year research roadmap: identify key scientific questions, set milestones, allocate resources, and ensure rigorous execution.
- •Collaborate cross-functionally with engineering, product, client-facing teams and external academic or industry partners to translate research into components, insights, and actionable outcomes.
- •Communicate compellingly: publish research, present at conferences, engage in open-source contributions, and represent the team externally.
- •Drive an inclusive, high-performing culture: help your team through technical challenges, provide growth opportunities, and attract top talent.
- •Requirements 5+ years of hands-on research experience (PhD or equivalent preferred) in machine learning, deep learning, generative models, agent/rl systems or related domains.
- •A strong track record of research excellence, including publications in top-tier ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.).
- •Experience and track of recording in landing major research impacts in a fast-paced environment.
- •Experience leading or managing research teams.
- •You’re excited to mentor, coach and develop talent.
- •Excellent written and verbal communication skills.
- •You are able to articulate research ideas and outcomes to both technical and non-technical stakeholders.
Required skills
TensorFlowPyTorchscikit-learnNLPLLMsMLflowKubeflowSageMakerVertex AIONNXJAXPostgreSQLMySQLMongoDBRedis
Nice-to-have skills
A/B TestingRoadmappingPRDsOKRsDesign ThinkingWireframingPrototypingProgram ManagementProject Management
Domain expertise
ai
Benefits & perks
base salary, equity, benefits, comprehensive health, dental and vision coverage, retirement benefits, learning and development stipend, generous PTO, commuter stipend
Tech stack
TensorFlowPyTorchscikit-learnHugging FaceNLPLLMsMLflowKubeflowSageMakerVertex AIONNXJAXPostgreSQLMySQLMongoDBRedisElasticsearchDynamoDBCassandraSQLiteOracleSQL ServerNeo4jCockroachDBTimescaleDBInfluxDBSupabaseFirebasePrismaAWS