ML Staff Software Engineer, Trust and Safety, Youtube
Staff ML Engineer at Google's YouTube, focusing on Trust and Safety. This role involves leading the design and implementation of ML prediction models for content moderation, optimizing ML infrastructure, and guiding data processing strategies. The engineer will provide technical leadership and strategy for AI-assisted content moderation, influencing and coaching a distributed team.
What you'd actually do
- Provide technical leadership and strategy development for both automated and AI assisted content moderation.
- Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers.
- Lead the design and implementation of solutions in specialized ML areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies.
Skills
Required
- software development
- ML design
- ML infrastructure
- model deployment
- model evaluation
- data processing
- debugging
- fine tuning
Nice to have
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field
- testing, and launching software products
- working in a complex, matrixed organization involving cross-functional, or cross-business projects
- technical leadership role leading project teams and setting technical direction
What the JD emphasized
- ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning)
Other signals
- ML prediction models
- content moderation
- Trust and Safety