Anthropic · 6 hours ago
Research Engineer, Discovery
San Francisco, CA
Full-time
Hybrid
Senior Level
$350K/yr - $850K/yr
6+ years expAnthropic is a public benefit corporation focused on creating reliable and beneficial AI systems. As a Research Engineer, you will work across the model stack to address infrastructure challenges and contribute to the development of advanced AI systems that push the frontiers of science.
Artificial Intelligence (AI)Foundational AIGenerative AIInformation TechnologyMachine Learning
Responsibilities
Design and implement large-scale infrastructure systems to support AI scientist training, evaluation, and deployment across distributed environments
Identify and resolve infrastructure bottlenecks impeding progress toward scientific capabilities
Develop robust and reliable evaluation frameworks for measuring progress towards scientific AGI
Build scalable and performant VM/sandboxing/container architectures to safely execute long-horizon AI tasks and scientific workflows
Collaborate to translate experimental requirements into production-ready infrastructure
Develop large scale data pipelines to handle advanced language model training requirements
Optimize large scale training and inference pipelines for stable and efficient reinforcement learning
Qualification
Required
At least a Bachelor's degree in a related field or equivalent experience
6+ years of highly-relevant experience in infrastructure engineering with demonstrated expertise in large-scale distributed systems
Strong communicator and enjoy working collaboratively
Deep knowledge of performance optimization techniques and system architectures for high-throughput ML workloads
Experience with containerization technologies (Docker, Kubernetes) and orchestration at scale
Proven track record of building large-scale data pipelines and distributed storage systems
Excel at diagnosing and resolving complex infrastructure challenges in production environments
Can work effectively across the full ML stack from data pipelines to performance optimization
Experience collaborating with other researchers to scale experimental ideas
Thrive in fast-paced environments and can rapidly iterate from experimentation to production
Preferred
Experience with language model training infrastructure and distributed ML frameworks (PyTorch, JAX, etc.)
Background in building infrastructure for AI research labs or large-scale ML organizations
Knowledge of GPU/TPU architectures and language model inference optimization
Experience with cloud platforms (AWS, GCP) at enterprise scale
Familiarity with VM and container orchestration
Experience with workflow orchestration tools and experiment management systems
History working with large scale reinforcement learning
Comfort with large scale data pipelines (Beam, Spark, Dask, …)
Benefits
Competitive compensation 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
Fidelity,ICONIQ Capital,Lightspeed Venture PartnersLightspeed Venture PartnersGoogle
2025-09-02Series F· $13B
2025-05-16Debt Financing· $2.5B
2025-03-03Series E· $3.5B
Leadership Team
Dario Amodei
Co-Founder and CEO
Daniela Amodei
President and co-founder
Recent News
2026-02-06
2026-02-06
2026-02-06
Company data provided by crunchbase