Principal Machine Learning Engineer (AI)

TL;DR

Principal Machine Learning Engineer (AI): Building and productionizing complex classification flows and secure data-labeling pipelines on large-scale multi-modal Copilot data with an accent on prototyping, operationalizing prompted classifiers at scale, and ensuring compliance. Focus on designing robust evaluation loops, generalizing ML solutions into repeatable frameworks, and collaborating cross-functionally on data governance.

Location: New York, United States. Employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles.

Salary: USD $188,000 – $304,200 per year (for San Francisco Bay area and New York City metropolitan area).

Company

Microsoft's mission is to empower every person and organization on the planet to achieve more, fostering a culture of inclusion where everyone can thrive.

What you will do

• Build and publish evaluation loops (precision/recall, calibration, drift, human-in-the-loop) with dashboards/SLOs.
• Generalize machine learning (ML) solutions into repeatable frameworks.
• Operationalize prompted classifiers at scale (batch & streaming), including orchestration, autoscaling, monitoring, and cost guardrails.
• Conduct thorough review of data analysis and techniques used to summarize the process.
• Collaborate cross-functionally with Data Science, Security, and Platform teams on data schemas, access patterns, and governance.
• Independently write efficient, readable, extensible code and model pipelines.

Requirements

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python.
• English: B2 required.

Nice to have

• 7+ years’ experience writing production-quality Python, Java, or Scala code.
• 5+ years’ experience in distributed systems design and implementation of large-scale data processing systems.
• 3+ years’ experience building ML data pipelines using AML, Promptflow, Langchain, or LangGraph.
• Demonstrated interest in Responsible AI and experience prompting, evaluating, and working with large language models.

Culture & Benefits

• Opportunity to work on Data Labeling and classification for multi-modal Copilot data within the hirify.global (MAI) organization.
• Fosters a growth mindset, innovation, and collaboration to empower others.
• Values respect, integrity, and accountability.
• Provides comprehensive benefits and other compensation (refer to Microsoft Careers for details).