We are an Applied ML team pushing the limits of question answering, assistant response ranking, summarization, and search technologies, while also responsible for a production service. As part of this group, you will be doing large scale machine learning and deep learning research and development to improve Open Domain Question Answering (using both structured knowledge graph data and unstructured web data) and Summarization as well as developing fundamental building blocks needed for Artificial Intelligence.
Requirements
- Designing and developing advanced Reinforcement Learning technologies in the post-training of generative model, and delivering the end-user experience
- Driving cross-functional technical initiatives, collaborating with research, engineering and production teams to translate theoretical advances into deployable systems
- Developing novel and cutting-edge RL algorithms and improving existing ones
- Staying up to date with the latest RL research and integrate best practices into the team's workflow
- Working on the end-to-end ML lifecycle: algorithm design and implementation, data collection, model training, evaluation, and deployment
Benefits
- Comprehensive health insurance
- 401(k) matching
- Paid time off
- Stock options