Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Многоразвернуть
$360к-570к/год
$250к$270кмедиана$310к
По похожим ролям (50) ~ $270к/год
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Крутая вакансия
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Это четко очерченная руководящая роль в быстро развивающемся AI-for-science стартапе с работой на реальных экспериментах и построением команды; главный компромисс - неопределенность стартапа.
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На стыке AI и науки
Понятная зона ответственности
?Риски стартапа
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Director / Senior Director, AI x Lab Integration (AI/scientific agents): Leading research that enables reasoning models to translate scientific intent into executable experiments, diagnose failures, and adapt protocols from real laboratory evidence with an accent on protocol reasoning, post-training, and rigorous capability evaluation. Focus on building a high-performing research team, designing closed-loop experimentation methods, and proving that model improvements transfer to unfamiliar protocols and real experimental workflows.
Location: Cambridge, MA, USA, or San Francisco, CA, USA. Other listed locations: Alewife, Cambridge, MA; San Francisco, CA.
Salary: USD 360,000–570,000 base salary, with bonus potential and early-stage equity.
Company
hirify.global is an early-stage company building AI-driven scientific systems and laboratory instruments to automate the scientific method across medicine, materials, and energy.
What you will do
Set and lead the AI x Lab Integration research agenda for protocol understanding, intent-to-protocol generation, feasibility assessment, protocol repair, failure diagnosis, and adaptation from experimental results.
Work with experimental scientists to convert demonstrations, corrections, and feedback into models that capture tacit scientific knowledge.
Lead research on supervised fine-tuning, reinforcement learning, tool use, and learning from execution feedback for laboratory reasoning.
Establish independent evaluations covering protocol skills, in-run decisions, cross-domain workflows, scientific correctness, feasibility, execution outcomes, uncertainty, and human intervention.
Recruit, mentor, and lead scientists and research engineers while setting priorities, ownership, and rigorous experimental standards.
Partner with domain scientists and laboratory execution, data infrastructure, and orchestration teams.
Requirements
PhD in Machine Learning, Computer Science, Robotics, Computational Science, or a related field, or equivalent research and leadership experience.
Substantial experience leading original AI research and translating it into capabilities that work beyond benchmarks.
Experience developing AI capabilities for automated laboratories, scientific agents, or closed-loop experimentation, with model decisions informed by real experimental results.
Experience building and leading research teams, including recruiting scientists and engineers, developing technical leaders, and setting priorities under uncertainty.
Ability to engage deeply with experimental scientists and translate scientific objectives, controls, and failure modes into tractable research problems.
Hands-on leadership style, including reviewing model behavior, challenging research designs, interpreting failure cases, and guiding technical decisions.
Nice to have
Expertise in foundation models, post-training, reinforcement learning, agent learning, or related methods.
Research experience in procedural reasoning, program synthesis, planning, causal reasoning, or uncertainty-aware decision-making.
Experience learning from expert demonstrations, sparse feedback, or costly real-world experiments.
Domain expertise in experimental biology, chemistry, materials science, or laboratory automation.
Influential publications, open-source contributions, or deployed research systems in AI or AI for Science.
Experience growing a small research team into a program with sustained scientific and operational impact.
Culture & Benefits
Full-time U.S. employees receive medical, dental, vision, life, and disability coverage.
Flexible time off, company-wide holidays, paid parental leave, educational assistance, commuter benefits, and subsidized lunch for office-based employees.
Full-time employees outside the U.S. receive benefits tailored to their region; international salaries follow local market rates.
Startup-speed environment guided by truth, trust, curiosity, grit, and velocity.
Hiring process
Applications are accepted from candidates; unsolicited agency resumes are not accepted unless the agency is contacted directly by hirify.global’ Talent Acquisition team.
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