X is looking to build AI systems that can perform previously impossible tasks or achieve unprecedented levels of performance to make the practice of law radically more efficient and accurate.
Requirements
- high-performance implementations of machine learning algorithms and productionization
- Experience translating research concepts or novel techniques into robust, production-ready systems
- Proficiency in MLOps, including model deployment, versioning and performance monitoring in production environments
- Strong proficiency in Python and software engineering best practices (testing, designing architectures, version control, etc)
- Achieved strong results with sophisticated model prompting, and with (at least one of) fine-tuning or applying RL to large language models
- building AI software and systems for specific industries, either as research publications at top PL or ML venues, or as open source artifact(s)
- delivering high quality solutions to large, complex software problems
Responsibilities
- building AI systems that can perform previously impossible tasks or achieve unprecedented levels of performance
- designing, implementing, and improving models achieving specific tasks
- writing bug-free machine learning code
- building the science behind the algorithms employed
- making targeted contributions and move fast in the work of experimentation
- translating research concepts or novel techniques into robust, production-ready systems
- model deployment, versioning and performance monitoring in production environments
Other
- Act like an owner; be fearless in diving deep, asking questions, proposing solutions, establishing consensus and then making things happen.
- Work effectively with cross-functional teams of engineers, product managers, and domain experts
- Provide direction and focus in areas of high ambiguity
- Enjoy mentoring others and helping the team grow
- Excel at building strong relationships with stakeholders at all levels
