Location
Remote
Salary
Not specified
Type
fulltime
Posted
Today
via linkedin
Job Description
- Identify open questions in tenant engagement, conversational AI, and LLM safety; turn them into road-mapped projects
- Design experiments, build prototypes, run large-scale evaluations, and drive the project through to production launch
- Coach junior scientists, review code, and raise the technical bar across the team
- Partner with engineering, product, and GTM to translate research outcomes into customer-visible features
Requirements
- Ph.D. in Mathematics, Theoretical Physics, Computer Science, or a related field.
- Five years of post-PhD experience (either industry of academia)
- Strong preference for candidates with an established academic record
- Strong foundation in machine learning algorithms, statistical analysis, and data modeling.
- Proven track record of developing and implementing machine learning models, preferably in an academic or research setting
- Demonstrated ability to apply analytical thinking and problem-solving skills to real-world challenges
- Proficiency in programming languages such as Python, R, or similar, with experience in machine learning libraries and frameworks
- Willingness to work in person at our office 4-5 days a week
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