about 3 hours ago
Responsibilities
- Build and scale machine learning systems for content detection and safety scanning.
- Design and implement policy evaluation frameworks with standardized datasets and metrics.
- Develop multimodal models combining text, audio, image, and video signals.
- Architect feedback loops for continuous model improvement using human reviewer input.
- Translate regulatory requirements into scalable ML system designs.
- Collaborate with cross-functional teams to deliver safe user experiences.
- Drive technical direction in ambiguous problem spaces and contribute to platform architecture.
- Mentor and support other machine learning engineers.
Requirements
- Experience building and shipping production-grade machine learning systems at scale.
- Strong expertise in ML evaluation, including dataset design and model performance monitoring.
- Experience with multimodal machine learning systems across various domains.
- Familiarity with human-in-the-loop systems and feedback-driven model improvement.
- Ability to translate complex requirements into technical solutions, including regulatory constraints.
- Experience influencing technical direction in large-scale systems.
- Comfortable navigating ambiguity and making balanced decisions.
- Clear communication and effective collaboration with technical and non-technical stakeholders.
Benefits
- Flexible work arrangements with the option to work from home.
- In-person meetings as needed, allowing for a balance of remote and on-site work.
Categories
AI & MLData Science