Топовая руководящая роль в одной из самых влиятельных компаний в сфере ИИ-инфраструктуры с фокусом на передний край GenAI и агентных систем.
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Высокая нагрузкаЗарплата не указанаПередовой стекТрендовый доменЧеткий скоуп
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Manager, Research Scientist (AI): Leading a team of research scientists and engineers to advance GenAI capabilities with an accent on evaluation, post-training, and agentic/RL environments. Focus on defining the multi-year research roadmap, translating research into actionable product components, and driving execution from prototyping to deployment.
Location: Not specified
Salary: $290,400–$363,000 USD per year, with potential equity and additional benefits.
Company
Scale AI develops data, infrastructure, and tooling for advanced AI models and applications used by frontier labs, enterprises, and government agencies.
What you will do
Lead, mentor, and grow a team of research scientists and engineers working on generative AI initiatives.
Define and execute a multi-year research roadmap covering evaluation, post-training, agents, and reinforcement-learning environments.
Set scientific milestones, allocate resources, and ensure rigorous execution from prototyping through deployment.
Collaborate with engineering, product, client-facing teams, and external academic or industry partners to translate research into actionable outcomes.
Publish research, present at conferences, contribute to open source, and represent the research organization externally.
Build an inclusive, high-performing culture while supporting technical development and recruiting research talent.
Requirements
5+ years of hands-on research experience in machine learning, deep learning, generative models, agent or reinforcement-learning systems, or a related field.
PhD or equivalent experience preferred.
Strong research record, including publications at leading machine learning and AI venues such as NeurIPS, ICML, ICLR, or ACL.
Experience delivering significant research impact in a fast-paced environment.
Experience leading or managing research teams, with strong mentoring and coaching skills.
Excellent written and verbal communication skills for technical and non-technical audiences.
Culture & Benefits
Fast-paced startup environment focused on reliable AI systems and real-world deployment.
Comprehensive health, dental, and vision coverage.
Retirement benefits, learning and development stipend, and generous paid time off.
Equity compensation may be available for eligible roles, subject to approval.
Additional benefits may include a commuter stipend.
Inclusive and equal-opportunity workplace with reasonable accommodation support.
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