Staff Research Engineer, Frontier Data
We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training.
Open jobs in United States: on-site, hybrid and remote.
10 jobs found · United States
We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training.
We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training.
We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training.
New York, New York, United StatesNorth America
The Engagement Manager owns that outcome: from signed SOW through production deployment, adoption, and renewal. You are the client's day-to-day executive counterpart…
The role is both a people leader and a market-facing authority: responsible for building a security- and identity-fluent SME organization, serving as Druva’s hands-on…
New York, New York, United States; San Francisco, California, United States; Seattle, Washington, United StatesNorth America
You will own the production system behind Turing’s software-engineering data programs, turning complex research requirements into predictable delivery across quality…
Santa Clara, CA or Raleigh, NCNorth America
NetSuite Administrator to join our growing team. The ideal candidate will possess a strong blend of technical expertise, problem-solving skills, and a proactive approach…
We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training.
We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training.
We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training.