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Principal Machine Learning Engineer at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

20 Feb, 26

Salary

0.0

Posted On

22 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, AI Systems, Data Analysis, Model Training, Model Serving, Model Evaluation, DevOps, C++, C#, Go, Java, Python, Cloud Services, Distributed Systems, Benchmarking Tools, Data Science, Statistics

Industry

Software Development

Description

Design, implement and deliver AI services to support product offerings for large-scale agent observability Design and build the end-to-end pipelines covering model training, data analysis, model serving and model evaluation. Design and develop scalable systems for benchmarking AI models, including pipelines for automated evaluation, metric tracking, and result visualization. Build and maintain a robust data platform to support model evaluation workflows, including ingestion, versioning, and storage of datasets and model artifacts. Demonstrate good understanding of LLM architectures, training and inference Collaborate closely with product management and partner teams to align technical direction with business goals Take end-to-end responsibility for the development lifecycle and production readiness of the services you build and drive the team's DevOps culture Engage with customers to gather feedback and resolve complex issues Innovate on technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products. Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C++, C#, Go, Java, or Python OR equivalent experience. 8+ years of technical engineering experience with coding in languages including, but not limited to, C++, C#, Go, Java, or Python 3+ years of technical engineering experience with machine learning or AI systems Experience building or maintaining evaluation systems, benchmarking tools, or ML model testing frameworks. ML, statistics, and data science experience are a plus 6+ years technical engineering experience designing and delivering highly available, large-scale cloud services and distributed systems. Experience building AI or ML related applications.

Responsibilities

Design, implement, and deliver AI services to support product offerings for large-scale agent observability. Collaborate closely with product management and partner teams to align technical direction with business goals.