about 4 hours ago
London, United Kingdom
Senior / Staff+
H1B Sponsor
Responsibilities
- Shape the machine learning strategy for content understanding and platform-level decisioning.
- Build and scale ML systems for classification, moderation, ranking, and risk detection across multimodal content.
- Develop automated decisioning systems to ensure content quality and policy compliance at scale.
- Design and deploy models across text, audio, image, and video domains.
- Build systems for controlled access to content and metadata for downstream applications.
- Collaborate with product, policy, trust, and safety teams to operationalize content standards.
- Improve automation to reduce manual intervention while maintaining high standards of trust and quality.
- Mentor engineers and contribute to best practices in ML engineering.
Requirements
- Strong experience building production-grade machine learning systems at scale.
- Experience with modern ML frameworks such as PyTorch, TensorFlow, or JAX.
- Interest in multimodal machine learning.
- Ability to design systems that balance automation with quality and user experience.
- Comfortable working on complex, ambiguous problems with high impact.
- Think in systems, connecting models to platform-level outcomes and user experiences.
- Care about data quality, evaluation rigor, and system reliability.
- Clear communication skills to influence across technical and non-technical teams.
Benefits
- Flexibility to work from home with some in-person meetings.
- Location options in London or Stockholm.
Tech Stack
PyTorchTensorFlow
Categories
AI & MLData Science