Large Language Models (LLMs) are fundamentally transforming how we build solutions for our customers. The People Analytics team is focused on developing robust, scalable, and LLM-powered solutions that enable customers to access and understand their data more efficiently.
Requirements
- Solid engineering background with hands-on experience integrating AI projects into customer solutions.
- Experience building or evaluating LLM-based or generative AI solutions in production environments
- Ability to translate ambiguous business problems into measurable ML problems and deliver scalable solutions.
- Deep understanding of experiment design, model evaluation, and responsible AI principles (fairness, interpretability, bias mitigation).
- 5+ 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.
- 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
Responsibilities
- Design end-to-end solutions and lead the team in integrating AI capabilities into the product.
- Serve as a team expert on changes in industry trends, products, and other advances, and apply this knowledge to influence product needs.
- Review business and product requirements, incorporate engineers and product manager, and provide strategic direction for problem solving.
- Ensure scientific rigor, support the development of methods, and apply your expertise to support business impact.
- Document work and experimentation results and share findings to promote innovation.
- Provide guidance when capturing processes and contribute to ethics and privacy policies related to research processes and data collection.
- Leverage your expertise to drive innovation and lead efforts to design, develop, and deliver scalable, high-quality solutions powered by LLMs.
Other
- The position is based in Redmond, WA, USA, and requires working from the office at least three days per week.
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
- Embody our culture and values.
- Effective communication skills—able to explain complex models or research outcomes to technical and non-technical stakeholders.
