Назад
5 мСсяцСв Π½Π°Π·Π°Π΄

Research Engineer, Universes (AI)

500Β 000 - 850Β 000$
Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
hybrid
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
middle/senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
US
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

ВСкст:
/

TL;DR

Research Engineer, Universes (AI): Building the next generation of training environments for capable and safe agentic AI with an accent on reinforcement learning. Focus on designing training environments and methodologies and building evaluations that measure genuine capability.

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY. Staff expected to be in one of our offices at least 25% of the time.

Salary: $500,000 - $850,000 USD

Company

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems.

What you will do

  • Build the next generation of agentic environments.
  • Build rigorous evaluations that measure real capability.
  • Collaborate across research and infrastructure teams to ship environments into production training.
  • Debug and iterate rapidly across research and production ML stacks.
  • Contribute to research culture through technical discussions and collaborative problem-solving.

Requirements

  • At least a Bachelor's degree in a related field or equivalent experience.
  • Strong software engineering skills and can build robust infrastructure.
  • Are highly impact-driven β€” you care about outcomes, not activity.
  • Operate with high agency.
  • Have good research taste or senior technical experience, demonstrating good judgment in identifying what actually matters in complex problem spaces.
  • Can balance research exploration with engineering implementation.

Nice to have

  • Have industry experience with large language model training, fine-tuning or evaluation.
  • Have industry experience building RL environments, simulation systems, or large-scale ML infrastructure.
  • Senior experience in a relevant technical field even if transitioning domains.
  • Deep expertise in sandboxing, containerization, VM infrastructure, or distributed systems.
  • Published influential work in relevant ML areas.

Culture & Benefits

  • Competitive compensation and benefits.
  • Optional equity donation matching.
  • Generous vacation and parental leave.
  • Flexible working hours.
  • Lovely office space in which to collaborate with colleagues.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’