About the job
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. You’ll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery.
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).\nDefine and drive a multi-year research roadmap: identify key scientific questions, set milestones, allocate resources, and ensure rigorous execution.\nCollaborate cross-functionally with engineering, product, client-facing teams and external academic or industry partners to translate research into components, insights, and actionable outcomes.\nCommunicate compellingly: publish research, present at conferences, engage in open-source contributions, and represent the team externally.\nDrive an inclusive, high-performing culture: help your team through technical challenges, provide growth opportunities, and attract top talent.\nStay deeply connected to the research community, understanding major trends, and helping set them.\nThrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results.
Qualifications
Minimum
No minimum qualifications listed.
Preferred
5+ years of hands-on research experience (PhD or equivalent preferred) in machine learning, deep learning, generative models, agent/rl systems or related domains.\nA strong track record of research excellence, including publications in top-tier ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.).\nExperience and track of recording in landing major research impacts in a fast-paced environment\nExperience leading or managing research teams. You’re excited to mentor, coach and develop talent.\nExcellent written and verbal communication skills. You are able to articulate research ideas and outcomes to both technical and non-technical stakeholders.