2 months ago
Base Salary
$350k - $850k/yr
Responsibilities
- Identify and remove full-stack bottlenecks limiting progress toward scientific AGI.
- Develop methods for long-horizon task completion and complex reasoning for scientific discovery.
- Scale research ideas from prototypes into production systems.
- Create benchmarks and evaluation frameworks for scientific workflows and computer use.
- Implement distributed training systems and performance optimizations for large-scale model development.
Requirements
- 8+ years of ML research experience.
- Familiarity with large-scale language-model training, evaluation, and inference pipelines.
- Expertise in performance optimization and distributed computing systems.
- Ability to diagnose technical bottlenecks and translate research concepts into scalable engineering solutions.
- Track record of shipping ML systems addressing challenging multi-step reasoning problems.
- Preferred qualifications include experience with computer-use automation, agentic AI, reinforcement learning, Docker, Kubernetes, cloud deployment, VM or sandboxing environments, large-scale data processing, and scientific AI research or applications.
- Published research or practical experience in scientific AI applications or long-horizon reasoning is a plus.
Benefits
- Annual hybrid policy requiring staff to work from an office at least 25% of the time, with some roles requiring more.
- Visa sponsorship is available, with immigration-lawyer support, subject to role and candidate eligibility.
- Competitive compensation, equity donation matching, generous vacation and parental leave, flexible working hours, and office collaboration space.
- Anthropic is a public benefit corporation focused on beneficial, reliable, interpretable, and steerable AI systems.
Tech Stack
Categories
AI ResearchML Engineering
About Anthropic
Anthropic builds large language models and the Claude AI assistant for developers and enterprises, offered via API access and enterprise plans. Founded in 2021 and headquartered in San Francisco, it distributes Claude through its own platform and via partners such as Amazon Bedrock and Google Cloud’s Vertex AI. Its work emphasizes model reliability, interpretability, and practical tooling for tasks like coding assistance, analysis, and customer support automation.