Назад
11 дней назад

Principal Research Engineer (AI)

275 000 - 400 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Principal Research Engineer (AI): Driving the technical vision and execution of post-training systems to transform foundation models into immersive role-playing products with an accent on alignment algorithms and large-scale infrastructure. Focus on optimizing OSS LLMs, developing reinforcement learning methodologies, and building scalable data pipelines for model performance.

Location: Redwood City, CA (Onsite)

Salary: $275K – $400K

Company

AI entertainment platform empowering millions to connect, learn, and tell stories through interactive AI characters.

What you will do

  • Define and drive the technical roadmap for mid- and post-training systems, balancing innovation with production reliability.
  • Lead the development of alignment algorithms, RL, and preference optimization to improve model capabilities.
  • Design scalable training and inference systems for large-scale generative models.
  • Architect data pipelines to transform diverse data sources into high-quality training datasets.
  • Mentor and grow a team of researchers and engineers through technical guidance and design reviews.
  • Optimize distributed training, GPU utilization, and serving efficiency in partnership with infrastructure teams.

Requirements

  • PhD in Computer Science, ML, AI, or equivalent industry experience.
  • Significant experience leading technical projects in machine learning or large-scale distributed systems.
  • Deep understanding of transformers, reinforcement learning, alignment methods, and LLMs.
  • Track record of delivering impactful research or applied ML systems in production environments.
  • Expertise in training, debugging, and optimizing large-scale models on GPU-based systems.
  • Must be based in or able to work in Redwood City, CA.

Nice to have

  • Hands-on experience adapting open-source models like Mistral and Qwen for specific personas or role-playing.
  • Familiarity with cloud-native ML infrastructure, including Kubernetes and Docker.
  • Publications in leading ML conferences or contributions to the AI community.

Culture & Benefits

  • Top-notch health coverage for employees and their families.
  • Generous 401(k) contribution to invest in your future.
  • Incredible paid parental leave of up to 20 weeks.
  • 4 weeks of PTO for recharging and exploration.
  • Daily in-office catering and a monthly Doordash stipend.
  • Monthly wellness stipend to support health journeys.

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