The company is looking to solve the problem of information overload in expert knowledge work by developing an AI-system purpose-built for expert intelligence.
Requirements
- 3+ years experience in industry applied ML
- Experience in LLM model training, inference and evaluation
- Experience in serving ML models to a significant number of users
Responsibilities
- Design ML inference/training systems to be scalable to thousands of users
- Define how to build, maintain, and automate ML model training, evaluation and inference pipelines at scale
- Productionize cutting-edge research prototypes for knowledge work at scale
- Take ambiguous business/product problems and develop evaluations/models/techniques to improve the core system to tackle those
- Extend the custom-built Question Answer system using state of the art in-house models
- Enable expert-level agentic workflows to automate comprehensive knowledge work and enable AI tools that work with experts to gain new insights
Other
- Bachelors in Computer Science, Engineering or related qualification
- Proactive and eager to take ownership
- Fast iteration based on user engagement
- Comprehensive health insurance coverage
- Support for long-term financial well-being with 401K and enhanced Pension contributions
- Flexibility to rest and recharge with unlimited PTO
- Travel budget to provide opportunities for learning and collaboration
- Office equipment allowance to enhance the comfort of your workspace
- Hybrid work environment to promote balance and flexibility
