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Principal Software Engineer for Copilot Evals

$142.8k - $274.8k
Full-time

Microsoft

Overview

CADET (Customer and Analytics Driven Evals Team) is building a customer-grounded quality system for Copilot. Our mission is to rapidly identify the customer scenarios that matter most represent them faithfully in evaluation and learning assets run quality gates continuously and turn every important failure into reusable product and model improvements. We bring together DSAT and other product signals deep customer engagements to create representative eval sets. Operating in a fast-paced environment we connect customer grounded quality issues with quality teams to advance Copilot quality and product innovation.

We are looking for a Principal Software Engineer to architect and build the production system behind CADETs (Customer and Analytics Driven Evals Team) customer-grounded quality loop partnering with our platform teams. This is a high impact role that will set technical direction drive rapid delivery and align engineering science product and platform teams as we shift from manually assembled signals and one-time evaluations to an agentic automated system. You will connect heterogeneous data sources AI agents evaluation infrastructure RLE platforms model and product telemetry human review and quality reporting into a reliable and inspectable end-to-end system. You will set architecture across organizational boundaries establish engineering standards align partner teams and drive the most technically demanding parts of the system.

The system will continuously capture customer evidence prioritize and triage it create and run evaluation assets attribute quality losses report outcomes and drive measurable customer impact. This role requires both systems depth and product judgment. The ideal candidate builds for rapid innovation and reuse without sacrificing interoperability traceability privacy scientific rigor or human control at consequential decision points.

Microsofts mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect integrity and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

  • Own and drive the end-to-end CADET architecture integration contracts and technical execution for the customer-signal and evaluation system spanning capture enrichment prioritization triage asset generation execution diagnosis reporting and retention. Resolve architectural ambiguity accelerate delivery and create reusable capabilities across partner teams while retaining accountability for CADET-specific workflows interfaces and system behavior and reusing shared platform capabilities.

  • Create scalable services and pipelines that reproduce customer pain points across scenarios business segments and interventions through automated grounding-data generation intent classification deduplication clustering taxonomy assignment coverage analysis loss-pattern detection and work-item routing.

  • Automate recurring evaluation execution and quality gates for top intents and customers including scheduling versioning reproducibility failure handling and result publication.

  • Establish data contracts and extensible schemas for customer signals workflows evaluation cases rubrics graders runs results attribution and regression assets.

  • Develop quality-attribution workflows that combine automated diagnosis with human review; route losses to the appropriate product data model tool orchestration or evaluation owner; track remediation; add regression protection; and verify improvement in customer outcomes.

  • Create observability and benchmarks for pipeline health agent behavior data quality grader health coverage cost latency operational reliability and regression detection across CADET workflows and tooling.

  • Design safe human-in-the-loop gates for ambiguous data sensitive customer evidence taxonomy changes evaluation publication and consequential quality decisions.

  • Mentor engineers across the team and raise engineering quality through clear interfaces testing security operational discipline and technical documentation.

Qualifications

Required Qualifications:

  • Bachelors Degree in Computer Science or related technical field AND 6 years technical engineering experience with coding in languages including but not limited to C C C# Java JavaScript or Python
    • OR equivalent experience.

Preferred Qualifications:

  • Extensive experience designing and delivering large-scale distributed systems data platforms developer platforms or AI infrastructure in production with practical exposure to large language model technologies agent systems or AI/ML platforms.
  • Demonstrated principal-level technical leadership across teams and organizational boundaries.
  • Solid understanding of security privacy data governance and responsible engineering for sensitive data.
  • Excellent communication and collaboration skills with the ability to influence senior engineering science and product leaders.
  • Experience building AI/ML platforms LLM or agent systems evaluation infrastructure experimentation systems or model pipelines.
  • Experience with retrieval tool-using agents prompt and rubric management human-in-the-loop systems or automated diagnosis.
  • Experience building data and workflow platforms that combine batch streaming unstructured and human-generated inputs.
  • Experience with RLEs synthetic environments post-training pipelines or large-scale evaluation execution.
  • Experience integrating customer feedback product telemetry and engineering work-management systems.
  • Experience operating high-availability services and driving platform adoption across multiple product teams with knowledge of competing AI models platforms and developer ecosystems and the ability to apply relevant external advances to Microsofts evaluation and quality systems.

#cadets



Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142800 - $274800 per year. There is a different range applicable to specific work locations within the San Francisco Bay area and New York City metropolitan area and the base pay range for this role in those locations is USD $188000 - $304200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
position will be open for a minimum of 5 days with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age ancestry citizenship color family or medical care leave gender identity or expression genetic information immigration status marital status medical condition national origin physical or mental disability political affiliation protected veteran or military status race ethnicity religion sex (including pregnancy) sexual orientation or any other characteristic protected by applicable local laws regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process read more about requesting accommodations.


Required Experience:

IC

Vacancy posted 1 day ago
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