About the Role:
As a Research Manager on Anthropic's Pretraining Data team (Tokens), you will lead a team of researchers and research engineers who are responsible for understanding and innovating on the data that powers our foundational AI models. Areas of work include pretraining data research such as understanding data trends and scaling laws, optimizing pretraining data mixes, investigating and evaluating potential new data sources, and researching methodologies to process and utilize the data most effectively.
Areas of interest
- Fundamental Pretraining science
- Reasoning and complex problem solving
- Novel data sources, quality metrics, and effectiveness
- Multilingual data
Responsibilities:
- Lead research and engineering efforts on pretraining data optimization
- Prioritize the team's research agenda to support fast iteration on promising research avenues with a focus on impact
- Become familiar with the team's technical stack enough to make targeted contributions as an individual contributor
- Manage day-to-day execution of the team's work
- Coach and support your reports in their professional growth
- Maintain a deep understanding of the team's work and its implications for AI safety
You may be a good fit if you:
- Have 3-5 years of management experience in a research/technical environment
- Have a strong background in machine learning/AI with a focus on research
- Are comfortable with an empirical and fast-paced research environment
- Are a quick learner, capable of understanding and contributing to discussions on complex technical topics, and communicating research findings effectively
- Have demonstrated experience leading high-performing teams of researchers
- Care about the societal impacts of your work
