Senior Research Scientist
Leads end-to-end research initiatives in machine learning and large language models for conversational AI in housing and healthcare. Requires PhD in relevant field plus 5+ years post-PhD experience, strong ML expertise, and Python proficiency.
About the job
Key Responsibilities
- 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 or 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
Compensation
Salary range: $200,000 - $320,000 base, plus equity and comprehensive benefits.
Skills
Machine Learning, LLMs, Python, R, Statistical Analysis, Data Modeling, Llm Safety, Conversational AI
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