below marketmost similar roles pay hereabove market
This role pays less than
71%
of similar roles. Most pay
$207,300–$254,750
— the blue band above.
At the midpoint, this role pays about
$209k
versus about
$231k
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
694 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 651 roles with salary data.
JOB TITLE: Principal Machine Learning Engineer - RAI
The Principal Machine Learning Engineer will join the team to design, build, deploy, and scale production machine learning systems. This hands-on role involves transforming research innovations into reliable product capabilities by developing reusable infrastructure, services, and components that support multiple models and workloads. The engineer will solve complex problems regarding scalability, performance, reliability, and efficiency while partnering with applied scientists and software engineers. Key responsibilities include driving architectural decisions, providing technical mentorship, and integrating modeling advances into production systems. Candidates must possess coding skills in languages such as C, C++, C#, Java, JavaScript, or Python. The work specifically focuses on the domain of AI safety and Responsible AI, building systems that ensure advanced AI capabilities operate safely, reliably, and responsibly within production environments.
What does a Machine Learning Engineer earn?
Median $235750 from 323 postings across 48 companies.
Design and build large-scale systems for machine learning training, evaluation, inference, and production operations.
Transform machine learning models and research innovations into reliable, scalable product capabilities.
Develop reusable infrastructure, services, and components that support multiple models and workloads.
Solve complex engineering problems involving scalability, performance, reliability, and efficiency.
Drive architectural decisions while personally implementing critical system components.
Incorporate security, privacy, safety, and Responsible AI considerations throughout the system design process.
Provide technical direction and mentorship to raise engineering standards across the broader team.
What we're looking for
Bachelor's Degree in Computer Science or related technical field and 6+ years of technical engineering experience with coding in languages like C, C++, C#, Java, JavaScript, or Python.
Ability to pass the Microsoft Cloud background check upon hire and every two years.
Master’s or Doctorate degree in Computer Science or a related technical field with a focus on machine learning and 7+ years of technical engineering experience (preferred).
Experience building machine learning infrastructure or platforms that support multiple models, teams, or workloads (preferred).
Experience driving architecture across complex, cross-team engineering initiatives (preferred).
Demonstrated interest in AI safety and Responsible AI, including building systems that support the safe and responsible development or deployment of AI capabilities (preferred).
Demonstrated experience deploying and scaling machine learning models and pipelines in production (preferred).
Experience with machine learning systems, distributed systems, software architecture, and system design (preferred).
Machine Learning
Python
C++
C#
Java
JavaScript
C
Distributed Systems
System Design
Data Processing
Model Training
Inference
Production Deployment
Responsible AI