Overview
Identify high-value opportunities where applied AI can fundamentally improve how work is performed, and translate ambiguous business problems into rigorous technical approaches and experiments. Rapidly prototype, evaluate, and iterate on AI solutions, using AI-first development and coding tools to accelerate experimentation and move promising approaches toward production. Design robust evaluation methodologies, benchmarks, experiments, and success criteria that connect model and system performance to measurable operational outcomes.Build scalable data, experimentation, and learning loops that use real-world signals and feedback to continuously improve AI systems. Translate research into production-ready capabilities, partnering closely with engineering teams across architecture, implementation, deployment, observability, reliability, and performance. Develop reusable AI methods, framewor
Full job description
Full Job Description
Identify high-value opportunities where applied AI can fundamentally improve how work is performed, and translate ambiguous business problems into rigorous technical approaches and experiments. Rapidly prototype, evaluate, and iterate on AI solutions, using AI-first development and coding tools to accelerate experimentation and move promising approaches toward production. Design robust evaluation methodologies, benchmarks, experiments, and success criteria that connect model and system performance to measurable operational outcomes.Build scalable data, experimentation, and learning loops that use real-world signals and feedback to continuously improve AI systems. Translate research into production-ready capabilities, partnering closely with engineering teams across architecture, implementation, deployment, observability, reliability, and performance. Develop reusable AI methods, frameworks, and evaluation approaches that can accelerate multiple transformation scenarios rather than solving only a single use case. Provide technical leadership across applied AI initiatives, helping teams evaluate emerging techniques, make sound technical tradeoffs, and determine where new approaches can create meaningful impact. Ensure Responsible AI, privacy, security, scientific rigor, and appropriate governance are incorporated throughout experimentation and deployment. 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) Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 2+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers). 3+ years experience conducting research as part of a research program (in academic or industry settings). 3+ years experience developing and deploying live production systems, as part of a product team. 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
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