Machine Learning Systems Engineer, Research Tools
Description For Machine Learning Systems Engineer, Research Tools
Anthropic is seeking a Machine Learning Systems Engineer to join their Research Tools team. This role focuses on building and improving the critical algorithms and infrastructure that Anthropic's researchers depend on to train AI models like Claude. The ideal candidate will have 2+ years of software engineering experience and be passionate about working on systems that make others more productive.
Key responsibilities include:
- Building, maintaining, and improving algorithms and systems used for training models
- Enhancing the speed, reliability, and ease-of-use of these systems
- Supporting finetuning researchers in training production Claude models and internal research models
- Implementing and improving advanced ML techniques
The role requires a results-oriented individual who is flexible, impact-driven, and eager to learn about machine learning research. Strong candidates may have experience with high-performance distributed systems, Kubernetes, Python, and implementing LLM finetuning algorithms like RLHF.
Anthropic offers a competitive compensation package, including a salary range of $300,000 - $340,000 USD, equity, and comprehensive benefits. The company has a hybrid work policy, expecting staff to be in one of their offices at least 25% of the time.
This is an opportunity to work at the frontier of AI development, directly enabling breakthroughs in AI capabilities and safety. The successful candidate will play a crucial role in Anthropic's mission to build beneficial AI systems.
Responsibilities For Machine Learning Systems Engineer, Research Tools
- Build, maintain, and improve algorithms and systems for training AI models
- Enhance speed, reliability, and ease-of-use of training systems
- Support finetuning researchers in training production Claude models and internal research models
- Implement and improve advanced machine learning techniques
- Profile and optimize reinforcement learning pipelines
- Build systems for detecting problems in the training pipeline
- Adapt finetuning systems to work with new model architectures
- Diagnose and fix performance issues in training runs
- Implement stable, fast versions of new training algorithms proposed by researchers
Requirements For Machine Learning Systems Engineer, Research Tools
- 2+ years of software engineering experience
- Enjoy working on systems and tools that make other people more productive
- Results-oriented with a bias towards flexibility and impact
- Willingness to pick up slack, even outside job description
- Enjoy pair programming
- Interest in learning more about machine learning research
- Care about the societal impacts of your work
Benefits For Machine Learning Systems Engineer, Research Tools
- Comprehensive health, dental, and vision insurance
- 401(k) plan with 4% matching
- 22 weeks of paid parental leave
- Unlimited PTO
- Stipends for education, home office improvements, commuting, and wellness
- Fertility benefits via Carrot
- Daily lunches and snacks in the office
- Relocation support for those moving to the Bay Area
- Optional equity donation matching
