Research Engineer, Universes (AI)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
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
Anthropicβs 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.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β