Research Engineer/Scientist

San Francisco, CA, US • Posted 1 day ago • Updated 1 day ago
Full Time
No Travel Required
On-site
Depends on Experience
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Job Details

Skills

  • LLM Research
  • AgenticAI
  • reinforcement
  • Research Engineering
  • Anthropic

Summary

Role Name: Research Engineer/Scientist
Full-time On-site San Francisco, CA
MOI: 2 Rounds including final round of Onsite interview
 
About this role
We are looking for a Research Engineer / Scientist with experience in frontier AI research to join our founding team and push the boundaries of human intent understanding, computer use, and agentic AI. You will own ambitious research bets end to end - from hypothesis and data to training, evaluation, and deployment - working on reinforcement learning, post-training, and continual learning for long-horizon autonomous agents. This is a rare opportunity to shape the research agenda from day one at a stealth-stage company founded by leaders from Tesla AI, Google DeepMind, NVIDIA, Physical Intelligence, and Apple. We welcome candidates ranging from fresh PhD graduates with strong internship experience to senior researchers who have led teams at top labs.
 
What will you be doing?
  • Running experiments and training frontier AI models focused on human judgment scaling, computer use, and intent representation learning
  • Post-training LLM and multimodal agents using reinforcement learning and continual learning methods
  • Working with large-scale screen recording and behavioral data to build models that learn how individual users work and proactively automate tasks
  • Designing and executing rigorous research experiments to improve the underlying AI models powering autonomous agent capabilities
  • Helping define Centaur's research direction as an early team member, with direct impact on technical architecture and product
Requirements
  • 2 - 10 years of experience as a research engineer or research scientist. Fresh PhD graduates w/o industry experience ok to apply.
  • Actually done frontier research on LLMs—specifically post- training, reinforcement learning, or frontier research on large language models.
  • Hands- on applied research or research engineering experience (internships, seminal research papers)
  • Frontier research experience (LLMs, reinforcement learning, post- training)
  • Hands- on applied research engineering experience (building complete systems, driving large- scale experiments)
  • Experience in specialized ML techniques (representation learning, vision encoder pre- training)
Education
  • PhD candidate is acceptable, if their research is in RL, post- training, LLMs, or aligned frontier models
  • Bachelors and Masters degrees acceptable combined with AI lab experience and frontier research..
 
 
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTX1d96e9
  • Position Id: 9098295
  • Posted 1 day ago

Company Info

About Cognowiz

CognoWiz is an innovative and professional services provider firm with expertise on Analytics solutions. We serve you to make better business decisions. Since our founding by a team of ex-consultants, we have focused solely on Business Intelligence Analytics. Based on our background, we have built the company with an emphasis on process and methodology that enables us to deliver repeatable results of high quality to our clients. Our strong customer partnerships based on collaboration and quality of service have allowed us to grow and serve our customers better.

As a service provider, our team members, both internal and external, are the core of who we are as a company. Our team members have deep knowledge required to understand our clients’ needs and to deliver professionals with the right skills and experience for successful projects.

Our work environment is dynamic and challenging. We are focused on attracting and retaining top talent in the industry through an emphasis on entrepreneurship, creativity, innovation and stability.

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Alisha Mehra

Recruiter @ Cognowiz
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