about 4 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 based on 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.
- Proficient in ML evaluation, including dataset design and model performance monitoring.
- Experience with multimodal machine learning across various domains.
- Familiarity with human-in-the-loop systems and feedback-driven model improvement.
- Ability to translate complex requirements into technical solutions.
- Experience working across teams and influencing technical direction.
- Comfortable navigating ambiguity and making trade-offs between speed, quality, and risk.
- Strong communication skills for effective collaboration with technical and non-technical partners.
Benefits
- Flexible work arrangements with the option to work from home.
- In-person meetings to foster collaboration.
Categories
AI & MLData Science