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Senior Machine Learning Engineer

Microsoft

Redmond, Washington, United States
Full-Time
Posted Aug 24, 2025
Up to 50% work from home

About the role

Viva Engage connects people through communities, bringing leaders and employees together to share knowledge, clarify priorities, and build relationships. Viva Engage (formerly Yammer) is the premier tool to create multi-directional dialogue between tens of millions of employees worldwide every month.

Responsibilities

  • Own the full ML lifecycle - Design, build, deploy, and monitor end-to-end pipelines that power Copilot and Agentic Search experiences.
  • Build production-ready AI agents that automate workflows and surface smart, context-aware recommendations to boost user productivity.
  • Work with massive, complex datasets by applying advanced statistical and machine-learning methods to solve ambiguous, high-impact problems.
  • Apply Large Language Models (LLMs) to deliver deep semantic understanding and natural-language interactions that connect employees to knowledge across Microsoft 365.
  • Leverage generative-AI techniques for data augmentation, relevance tuning, and highly personalized discovery experiences.
  • Validate product intuition with experimentation – translate insights into roadmap influence and data-driven decisions that move key metrics.
  • Communicate with clarity – distill intricate technical work for diverse audiences across engineering, product, and executive leadership.

Requirements

  • Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.

Benefits

  • Health insurance
  • 401k matching
  • Flight privileges
  • Generous time away
  • Maternity and paternity leave
  • Savings and investments
  • Discounts on products and services
  • Opportunities to network and connect

About the Company

Microsoft’s mission is to empower every person and every organization on the planet to achieve more.

Job Details

Salary Range

$119,800 - $234,700/yearly

Location

Redmond, Washington, United States

Employment Type

Full-Time

Original Posting

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