Manager, Research Scientist
Lead a team of research scientists and engineers on GenAI initiatives including evaluation, post-training, agents, and RL. Define multi-year research roadmaps, drive execution from prototype to deployment, publish at top venues, and collaborate cross-functionally in a fast-paced environment. Requires 5+ years research experience, strong publication record, and management background (PhD preferred).
About the job
Responsibilities
- Lead, mentor and grow a team of research scientists and engineers working on GenAI research initiatives (e.g., evaluation, post-training, agents, RL environments).
- 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.
- Stay deeply connected to the research community, understanding major trends, and helping set them.
- Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results.
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 record 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.
Nice-to-Haves
- PhD or equivalent in a relevant field.
Skills
Machine Learning, Deep Learning, Generative Models, Reinforcement Learning, Agents, Research Leadership, Team Management, Publications, Neurips, Icml, Iclr, Acl
Similar jobs
AI Research jobs
Anthropic
San Francisco, CAApplied AI Research Engineer who tests model capabilities, builds demos and evaluations, supports strategic customer implementations, and translates field insights into product and research direction. Requires 6+ years of technical experience, programming proficiency, LLM development experience, and strong communication skills.
Applied Intuition
Sunnyvale, CA
Leads the research agenda for humanoid robotics, developing foundation-model and reinforcement-learning methods for dexterous manipulation and deploying them on real robotic systems. Requires a PhD, strong robotics research publications, and senior-level technical leadership.
Decagon
San Francisco, CAResearch and build safety models, evaluations, and runtime safeguards for conversational AI agents, addressing prompt injection, unsafe tool use, privacy, and policy risks. Requires 4+ years in AI/ML engineering, research, or safety plus experience deploying and evaluating language models or agentic systems.
Maybern
New York, NY
Build and expand customer-facing agentic AI products, MCP integrations, and automated reconciliation workflows for private fund management. The role requires senior-level software engineering, strong systems thinking, product judgment, and hands-on experience building and evaluating AI systems.
Vanta
Remote
Build Vanta’s organizational intelligence layer by shipping prototypes, internal tools, and AI agent workflows that make cross-source data useful to EPD, GTM, and other teams. The role requires recent hands-on LLM product work, independent problem scoping, and strong judgment around AI quality, reliability, cost, and latency.