below marketmost similar roles pay hereabove market
This role pays less than
77%
of similar roles. Most pay
$184,688–$247,728
— the blue band above.
At the midpoint, this role pays about
$177k
versus about
$216k
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.
The Senior Machine Learning Engineer - RAI will join the team to design, build, deploy, and scale production machine learning systems. This senior role involves transforming research innovations into reliable product capabilities by owning complex engineering projects from technical design through production deployment. The engineer will develop infrastructure, services, and reusable components for data processing, model training, evaluation, and inference. Key responsibilities include diagnosing performance issues, coordinating technical work across partner teams, and incorporating security, privacy, and safety considerations into system designs. Candidates must possess coding skills in languages such as C, C++, C#, Java, JavaScript, or Python. The work specifically addresses the technical challenge of ensuring advanced AI capabilities operate safely, reliably, and responsibly within a Responsible AI framework.
What does a Machine Learning Engineer earn?
Median $235750 from 323 postings across 48 companies.
Design and build production systems for machine learning training, evaluation, inference, and operation.
Transform machine learning models and research innovations into reliable, scalable product capabilities.
Own complex engineering projects from technical design through implementation and production deployment.
Develop infrastructure, services, and reusable components that support multiple models and workloads.
Diagnose and resolve challenges involving system performance, scalability, reliability, and efficiency.
Integrate modeling advances into production systems by partnering with applied scientists and software engineers.
Incorporate security, privacy, safety, and Responsible AI considerations throughout system design and development.
Mentor other engineers and contribute to strong engineering practices across the team.
What we're looking for
Bachelor's Degree in Computer Science or related technical field and 4+ 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 every two years.
Master’s or Doctorate degree in Computer Science or a related technical field with 5+ years of technical engineering experience (preferred).
Experience building machine learning infrastructure or platforms that support multiple models or workloads (preferred).
Experience contributing to architecture and delivering technical initiatives involving multiple components or teams (preferred).
Experience with distributed systems and large-scale machine learning workloads (preferred).
Demonstrated interest in AI safety and Responsible AI (preferred).
Experience deploying and scaling machine learning models or pipelines in production (preferred).
PyTorch
Jax
Distributed Training
Generative Modeling
Multimodal Models
Model Distillation
Model Parallelism
Training Workflows
Profiling
Machine Learning