We're growing our pre-training team and hiring someone to passionately work on data: defining what goes into our models, building the systems that source and prepare it, and ensuring our training team has the highest-quality data to push model capabilities forward.
Requirements
- deep understanding of machine learning theory
- experience designing and evaluating complex ML experiments
- familiarity with statistical methods for evaluation and experiment design
- ability to reason about information-theoretic properties of a dataset
- strong Python skills
- comfort with ML tooling and deep learning frameworks
- willingness to relocate to Heidelberg or travel at least fortnightly
Benefits
- 30 days of paid vacation
- access to a variety of fitness & wellness offerings via Wellhub
- mental health support through nilo.health
- substantially subsidized company pension plan
- subsidized Germany-wide transportation ticket
- budget for additional technical equipment
- flexible working hours for better work-life balance
- hybrid working model
- Virtual Stock Option Plan
- JobRad Bike Lease
