Principal Machine Learning Engineer (AI)

TL;DR

Principal Machine Learning Engineer (AI): Building and productionizing complex classification flows on large-scale multi-modal Copilot data with an accent on prototyping, operationalizing prompted classifiers, and building secure data-labeling pipelines. Focus on generalizing ML solutions into repeatable frameworks and collaborating cross-functionally to define schemas and governance for data analysis.

Location: Redmond, United States. Employees are expected to work from a designated hirify.global office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location.

Salary: USD $139,900 – $274,800 per year (general U.S. range); USD $188,000 – $304,200 per year (San Francisco Bay area and New York City metropolitan area).

Company

hirify.global is a technology corporation focused on empowering every person and organization on the planet to achieve more.

What you will do

• Build evaluation loops (precision/recall, calibration, drift, human-in-the-loop) and publish 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 to summarize processes and highlight areas for re-examination.
• Collaborate cross-functionally with Data Science, Security, and Platform teams to define 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 C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• 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.
• Experience prompting, evaluating, and working with large language models.

Culture & Benefits

• Work in a culture of inclusion, respect, integrity, and accountability.
• Opportunities to innovate and empower others.
• Access to comprehensive benefits and compensation as per hirify.global's policy.