Senior Staff Machine Learning Engineer, Content Platform
Builds foundational, production-grade multimodal ML systems for content understanding, moderation, ranking, risk detection, and platform decisioning. The role shapes technical strategy, improves automation and reliability, and mentors engineers across content, policy, and trust and safety initiatives.
About the job
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 that ensure content quality, integrity, and policy compliance at scale.
- Design and deploy models across text, audio, image, and video domains.
- Build systems that enable controlled, reliable access to content and metadata for downstream applications.
- Collaborate with product, policy, and trust and safety teams to operationalize content standards across the platform.
- Improve automation to reduce manual intervention while maintaining high standards of trust and quality.
- Mentor engineers and contribute to best practices in ML engineering, evaluation, and system design.
Requirements
- Strong experience building production-grade machine learning systems at scale.
- Experience with modern ML frameworks such as PyTorch, TensorFlow, or JAX.
- Experience with or interest in multimodal machine learning.
- Understanding of systems that balance automation with quality, safety, and user experience.
- Ability to work on complex, ambiguous, high-impact problems.
- Systems thinking that connects models to platform-level outcomes and user experiences.
- Strong focus on data quality, evaluation rigor, and system reliability.
- Clear communication and ability to influence technical and non-technical teams.
Work Arrangement
- This role is based in London or Stockholm.
- Hybrid flexibility is available, with some in-person meetings and the option to work from home.
Skills
Machine Learning, PyTorch, TensorFlow, JAX, Multimodal Machine Learning, Classification, Content Moderation, Ranking, Risk Detection, Natural Language Processing, Audio Processing, Image Processing, Video Processing, Model Evaluation, System Design
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