Principal Applied Scientist

Collaborate closely with designers, UI-experts and engineers to ensure clear, actionable dashboards and visualizations that empower users to make trustworthy science-informed decisions. Help to shape the direction of Agent Foundry Platform and Agent self-improvement with industry-leading product work. Bring new technology and approaches, such as Reinforcement Learning from Human Feedback (RLHF), into production by applying long-term research efforts to drive Agent self-improvement Drive negotiations across teams to ensure cutting edge technology is being applied to products in a practical way that meets key business objectives Leverage and/or construct data and experimentation to rapidly iterate on and refine product opportunities in a rapidly evolving domain Proactively provide mentorship and coaching to less experienced and mid-level team members by sharing expertise to build team capabilities and guiding team members in projects, and their careers Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 4+ years foundation in machine learning and applied AI techniques, including model evaluation and optimization. 3+ years of experience programming in Python. 1+ years of experience in fine-tuning and post-training strategies for models in production environments. 2+ Experience with prompt engineering and optimization for large language models or similar AI systems 3+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker. 7+ years experience conducting research as part of a research program (in academic or industry settings). 5+ years experience developing and deploying live production systems, as part of a product team. 7+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.