7 дней назад
Staff / Principal Research Scientist (AI)
270 000 - 500 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff / Principal Research Scientist (AI): Researching and developing foundation models, agentic systems, multimodal models, and evaluation methods for realtime consumer-facing AI with an accent on model quality, scaling, and practical research ownership. Focus on designing experiments, analyzing failures, publishing research, and shipping results into high-volume inference products.
Location: In-person at the Mountain View, California office, USA; relocation assistance is offered.
Base salary: $270,000–$500,000, plus bonus, equity, and benefits.
Company
is a research lab and inference provider focused on realtime AI for consumer-facing applications, including speech models, LLM serving, large-scale inference infrastructure, and modular APIs.
What you will do
- Research and develop foundation models, new architectures, and agentic AI systems.
- Design benchmarks, evaluation loops, quality measurement methods, and failure analyses.
- Investigate multimodal models, tool use, test-time compute, and world models.
- Own research end to end, from framing questions and running experiments to writing papers and shipping results.
- Build research that improves realtime AI products and high-volume inference systems.
Requirements
- Strong practical experience in machine learning, natural language processing, or related AI research.
- Experience with foundation model training, reinforcement learning, reward modeling, scaling, evaluation, or agentic systems.
- PhD in machine learning or natural language processing, or equivalent practical experience.
- Evidence of substantial public work, such as AI projects, interdisciplinary experiments, or open-source contributions.
- Ability to work through ambiguous problems, design experiments, and connect research to shipped impact.
- Willingness to collaborate in person at the Mountain View office, USA.
Culture & Benefits
- Flat structure, fast iterations, and minimal process overhead.
- In-person collaboration focused on solving difficult research problems.
- Evaluation is treated as a first-class research product.
- Support for sharing research that advances the field.
- Relocation assistance, bonus, equity, and benefits.
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