Anthropic · 6 hours ago
Staff Research Engineer, Discovery Team
San Francisco, CA
Full-time
Hybrid
Lead/Staff
$350K/yr - $850K/yr
8+ years expAnthropic is a public benefit corporation focused on creating reliable and beneficial AI systems. The role of Staff Research Engineer involves working on AI systems aimed at overcoming challenges in scientific reasoning and discovery, while collaborating with a diverse team to enhance model capabilities.
Artificial Intelligence (AI)Foundational AIGenerative AIInformation TechnologyMachine Learning
Responsibilities
Working across the full stack to identify and remove bottlenecks preventing progress toward scientific AGI
Develop approaches to address long-horizon task completion and complex reasoning challenges essential for scientific discovery
Scaling research ideas from prototype to production
Create benchmarks and evaluation frameworks to measure model capabilities in scientific workflows and computer use
Implement distributed training systems and performance optimizations to support large-scale model development
Qualification
Required
8+ years of ML research experience
Familiarity with large scale language model training, evaluation, and inference pipelines
Enjoy obsessively iterating on immediate blockers towards longterm goals
Thrive working collaboratively to solve problems
Expertise in performance optimization and distributed computing systems
Strong problem-solving skills and ability to identify technical bottlenecks in complex systems
Can translate research concepts into scalable engineering solutions
Track record of shipping ML systems that tackle challenging multi-step reasoning problems
Bachelor's degree in a related field or equivalent experience
Preferred
Expertise with performance optimization for language model inference and training
Experience with computer use automation and agentic AI systems
A history working on reinforcement learning approaches for complex task completion
Knowledge of containerization technologies (Docker, Kubernetes) and cloud deployment at scale
Demonstrated ability to work across multiple domains (language modeling, systems engineering, scientific computing)
Experience with VM/sandboxing/container deployment and large-scale data processing
Experience working with large scale data problem solving and infrastructure
Published research or practical experience in scientific AI applications or long-horizon reasoning
Benefits
Equity and benefits
Optional equity donation matching
Generous vacation and parental leave
Flexible working hours
A lovely office space in which to collaborate with colleagues
Company
Anthropic
Anthropic is an AI research company that focuses on the safety and alignment of AI systems with human values.
501-1000 employees
H1B Sponsorship
Anthropic has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (105)
2024 (13)
2023 (3)
2022 (4)
2021 (1)
Funding
Current Stage
Late StageTotal Funding
$33.74BKey Investors
Lightspeed Venture PartnersGoogleAmazon
2025-09-02Series F· $13B
2025-05-16Debt Financing· $2.5B
2025-03-03Series E· $3.5B
Leadership Team
Dario Amodei
CEO & Co-Founder
Daniela Amodei
President and co-founder
Recent News
Sherwood News
2026-01-16
The Express Tribune
2026-01-16
2026-01-16
Company data provided by crunchbase