Principal Machine Learning Engineer | Microsoft Careers

Microsoft

Quick summary

Work type
On-site
Location
WA
Salary
$139,900–$274,800 / yr
Posted
168 days ago
Closes
Jun 15, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $217k
This role $207k
$124k most similar roles pay here $291k

This role pays less than 58% of similar roles. Most pay $185,000–$249,750 — the shaded band above. At the midpoint, this role pays about $207k versus about $217k for comparable roles.

Based on 240 similar postings.

Employer

About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 571 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 522 roles with salary data.

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At a glance

TL;DR · Principal Machine Learning Engineer | Microsoft Careers

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Health Futures is seeking a Principal Machine Learning Engineer to join its interdisciplinary team of engineers, scientists, and medical professionals focused on developing next-generation AI tools for health and life sciences. This hands-on role involves designing and deploying scalable ML models, defining technical strategies for data ingestion and model training pipelines, and collaborating with researchers to develop innovative scientific systems. Day-to-day responsibilities include optimizing model performance across various modalities, devising new evaluation methods, and ensuring compliance with security and regulatory standards. The ideal candidate has a strong background in machine learning frameworks like PyTorch or TensorFlow, experience with large-scale distributed training, and expertise in ML algorithms and optimization techniques.

Skills

Python PyTorch TensorFlow Kubernetes Docker CI/CD AWS Azure GCP PostgreSQL MongoDB Git Jenkins Prometheus Grafana MLops DataPipeline SecurityCompliance

What you'll do

  • Lead the design and development of scalable ML models for health sciences applications.
  • Define technical strategy for ML pipelines including data ingestion, training, evaluation, and deployment.
  • Develop new methods to assess model capabilities and optimize training processes.
  • Mentor team members in best practices for ML development and responsible AI principles.
  • Ensure compliance with security, privacy, and regulatory standards in ML workflows.

What we're looking for

  • Bachelor's Degree in Computer Science or related field with 6+ years of technical engineering experience.
  • Experience coding in languages such as C++, Java, Python, JavaScript, or similar.
  • Proven track record of designing and deploying large-scale ML or MLops systems.
  • Hands-on experience with distributed training of machine learning models.
  • Deep expertise in ML algorithms, model optimization, and frameworks like PyTorch and TensorFlow.
  • Familiarity with security and compliance standards for enterprise and health data.

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