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pytorch scala content moderation evaluation llm📋 Description
- Design, build, and ship production-grade ML systems for content safety at Spotify.
- Lead initiatives across detection, classification, and policy evaluation.
- Develop ML models for content moderation, including multimodal and LLM-based systems.
- Build evaluation frameworks with datasets, offline/online metrics, and continuous improvement.
- Drive experiments to improve model performance, reliability, and fairness.
- Collaborate with Trust & Safety, Legal, and Public Affairs on policy needs.
- Provide technical leadership and contribute to ML strategy and prioritization.
- Present technical decisions and trade-offs in stakeholder discussions to influence product direction.
🎯 Requirements
- Extensive experience building and deploying ML systems at scale.
- Experience training, evaluating, and maintaining ML models with PyTorch.
- Deep understanding of ML evaluation, datasets, metrics, and continuous improvement.
- Design systems balancing performance, reliability, and real-world impact.
- Commitment to safe, responsible, user-centric ML.
- Ability to work across legal, policy, and product teams.
- Experience leading technical projects and guiding direction.
- Experience with distributed systems or backend tech like Scala.
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