Роль четко определена с акцентом на исследования в области ИИ и высокой зарплатой, что указывает на хорошую возможность в растущей области. Однако требование реагировать на инциденты в короткие сроки может быть потенциальным недостатком.
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Высокая зарплатаЧеткие обязанностиПродуктовая компанияТребование реагирования на инцидентыГибридная модель работы
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Technical Program Manager, Research (AI): Define and build programs that research teams need across the full model development lifecycle with an accent on compute, evals, RL environments, and emerging research initiatives. Focus on driving end-to-end execution of complex ambiguous initiatives, establishing processes and frameworks, and equipping leadership with actionable recommendations on technical tradeoffs.
Location: San Francisco, CA or New York City, NY Hybrid policy: expect to be in one of our offices at least 25% of the time. Note: This role may require responding to incidents on short-notice, including on weekends.
Annual Salary: $365,000 - $435,000 USD
Company
Quickly growing team of researchers, engineers, policy experts, and business leaders building reliable, interpretable, and steerable AI systems.
What you will do
Embed deeply within research domains to understand technical landscape, build trust, and identify highest-leverage problems as priorities evolve
Drive end-to-end execution of complex research initiatives spanning multiple teams without established playbooks
Establish processes and frameworks that structure unstructured research environments
Lead large-scale compute resource planning, allocation, efficiency, and prioritization
Drive eval readiness for model launches by standardizing results, shaping plans, improving tooling, and ensuring transparent reporting
Own execution and operational health of RL environments across major training runs, coordinating trade-offs
Act as connective tissue between research, engineering, and product teams to reduce chaos and accelerate execution
Requirements
Background in ML research or engineering with several years building technical programs from scratch, hands-on exposure to training, evaluation, or large-scale distributed systems
Fast learner able to ramp on unfamiliar technical domains and contribute to researcher discussions
Resourceful, high-agency, navigate ambiguity and shifting priorities
Track record of operational ownership of complex technical systems including monitoring, incident response, performance optimization
Reason about technical tradeoffs across model architecture, training infrastructure, evals, compute efficiency
Excellent stakeholder management to influence senior technical staff
Bachelor’s degree or equivalent in relevant field
Nice to have
Comfortable with high-stakes environments impacting compute spend, training timelines, launch outcomes
Flexible working hours, lovely office space for collaboration
Visa sponsorship available (with reasonable effort and immigration lawyer support)
Collaborative team focused on high-impact AI research as big science
Encourage diverse perspectives and applications even if not all qualifications met
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