7 дней назад
AI Engineering Leader (AI)
300 375 - 425 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineering Leader (AI): Defining and executing research strategy across post-training, model evaluation, search and retrieval, and continuous learning with an accent on LLMs, transformer models, and agentic workflows. Focus on building and managing an exceptional AI engineering and research team, developing research partnerships, and translating advanced AI research into product experiences.
Location: San Francisco or New York; hybrid work with office attendance expected at least twice a week, primarily Tuesdays and Thursdays.
Salary: $300,375–$425,000 per year
Company
builds a web-based notebook and app authoring platform that helps organizations explore and use trusted data with natural language and code.
What you will do
- Partner with the CEO and CTO to define and execute research strategy across post-training, model evaluation, search and retrieval, and continuous learning.
- Manage research partnerships with startups, major laboratories, and other external partners.
- Drive high-quality technical content communicating research outcomes to varied audiences and platforms.
- Hire, lead, and develop a team of AI engineers and researchers.
Requirements
- 5+ years of experience leading applied research, AI engineering, or machine learning engineering teams.
- Deep expertise in modern AI technologies and classical machine learning systems.
- Experience with LLMs, transformer models, agentic workflows, context management, and agentic evaluations.
- Strong communication and collaboration skills, with the ability to empower product and engineering partners.
- Demonstrated ability to attract and retain exceptional AI talent.
Nice to have
- Experience working with reinforcement learning environments.
Culture & Benefits
- Full-time role with a hybrid office model.
- Market-benchmarked salary and equity.
- Comprehensive health benefits.
- Flexible paid time off.
- High-agency environment focused on shipping quickly and building AI-powered data products.
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