Related skills
tensorflow pytorch jax ml engineering multimodal📋 Description
- Shape ML strategy for content understanding and platform decisions
- Build and scale ML systems for classification, moderation, ranking, and risk detection
- Develop automated decisioning to ensure content quality, integrity and policy compliance
- Design and deploy models across text, audio, image, and video domains
- Build systems enabling controlled access to content and metadata
- Mentor engineers and drive ML engineering best practices
🎯 Requirements
- Strong experience building production-grade ML systems at scale
- Proficient with PyTorch, TensorFlow, or JAX
- Interested in multimodal ML
- Balance automation with quality, safety, and user experience
- Comfortable with complex, ambiguous problems and high impact
- Communicate clearly across technical and non-technical teams
🎁 Benefits
- Based in London or Stockholm
- Some in-person meetings, flexible work from home
- Hybrid with remote-friendly options
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