2 дня назад
Member of the Technical Staff (AI Research)
200 000 - 500 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Member of the Technical Staff (AI Research) (AI, reinforcement learning, synthetic data): Architecting and executing foundational research that advances model reasoning and intelligence, with an accent on post-training, alignment, benchmarking, and productionizing research. Focus on designing high-impact datasets and reward signals, building large-scale agent systems, and deploying deep learning algorithms in live systems.
Location: San Francisco, United States; on-site
Base salary: $200,000–$500,000+ per year. Additional compensation includes a sizable performance bonus and meaningful early-stage equity grant.
Company
builds training data infrastructure, synthetic data, simulation, and learning-from-experience systems for AI labs, startups, and enterprise customers.
What you will do
- Architect and execute foundational research advancing model reasoning and intelligence at scale.
- Own the full research-to-production lifecycle, including rapid deployment into live systems.
- Design and iterate on high-impact datasets, large-scale benchmarks, alignment methods, safety approaches, and reward signals with leading AI research teams.
- Identify, scope, and manage long-running research projects focused on scaling data for AGI and ASI.
- Collaborate with engineering teams on data pipelines, internal tooling, and high-performance deep learning implementations.
- Develop large-scale agent systems covering orchestration, tool APIs, distributed execution, observability, and logging.
Requirements
- PhD in a related field such as computer science, machine learning, or NLP is preferred.
- World-class research publication record, preferably at venues such as NeurIPS, ICML, or ICLR.
- Experience shipping research directly to production and live systems.
- Experience with advanced post-training, distillation, high-stakes evaluation, and large-scale benchmarking.
- Ability to master complex fields and take autonomous ownership of high-impact research problems.
- Thoughtful perspective on the societal and safety implications of general-purpose AI systems.
Nice to have
- Experience advising on or shaping governmental policy related to AI safety and governance.
Culture & Benefits
- Work alongside former founders, machine learning engineers, roboticists, and data leaders from major technology and AI organizations.
- Collaborate with leading AI labs, frontier startups, and F500 enterprises.
- Health, dental, and vision coverage.
- Flexible paid time off.
- Performance bonus tied to project and company milestones.
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