Related skills
data pipelines model training ml infrastructure embeddings experimentation platformsπ Description
- Consolidate experimentation tools into a single platform for Autonomy engineers.
- Own roadmap for large-scale data tooling to discover edge cases and curate datasets.
- Build high-fidelity A/B testing and analysis tools to validate changes before PRs.
- Advocate for AI engineers to remove bottlenecks and boost developer efficiency.
- Collaborate with Perception and Behavioral AI leads to align tool strategy for driving performance.
π― Requirements
- Technical Product Leadership: 5+ yrs as TPM/PM in internal tools/AI infra.
- Domain Expertise: ML lifecycle incl. data curation, training, evaluation metrics.
- Data Fluency: Data pipelines, large-scale search (embeddings/metadata), analytics.
- Strategic Execution: Migrate/modernize tools without slowing velocity.
- User-Centric Mindset: Focus on developer experience and productivity.
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