Machine Learning Software Engineer | Microsoft Careers

Microsoft

Hybrid Actively hiring
Remote, USA Posted 48 days ago $139,900–$274,800 / year
View original post Log in to save

At a glance

AI generated

TL;DR

As a Member of Technical Staff - Software Engineer & Machine Learning at Microsoft’s MAI organization, you will join the team developing AI Insights, an advanced Copilot analytics product that transforms raw data into actionable insights. Your primary responsibilities include building scalable data pipelines for telemetry ingestion and anomaly detection, implementing ML-driven insights such as prompted classifiers and integrating them into dashboards and APIs, and ensuring secure workflows for handling production logs and conversation data. You will collaborate closely with PMs and UX designers to refine hypotheses and deliver high-impact interfaces, while independently writing efficient code and model pipelines. The role requires expertise in machine learning, distributed systems, and hands-on experience with languages like Python or Java, as well as a strong background in leading small engineering teams and ensuring compliance and security for large-scale multi-modal data sets.

Skills

Python JavaScript C++ Java Kubernetes AWS Azure Docker CI/CD PostgreSQL MongoDB Redis Apache Spark TensorFlow PyTorch Prometheus Grafana Git Jenkins Responsible AI Scikit-learn

What you'll do

  • Build scalable data pipelines for telemetry ingestion, anomaly detection, and cohort segmentation.
  • Implement ML-driven insights and integrate them into dashboards and APIs.
  • Develop secure workflows for handling production logs and conversation data.
  • Enable drill-down capabilities linking quantitative metrics to qualitative evidence.
  • Prototype and productionize ML models for anomaly detection and predictive insights.
  • Ensure compliance and security for data handling across telemetry, logs, and conversation datasets.

What we're looking for

  • Extensive hands-on experience in building scalable data pipelines for telemetry ingestion and anomaly detection.
  • Expertise in implementing ML-driven insights and integrating them into dashboards and APIs.
  • Strong background in developing secure, compliant workflows for handling production logs and conversation data.
  • Proven ability to prototype and productionize ML models for anomaly detection and predictive insights.
  • Experience leading small engineering teams and collaborating effectively with cross-functional stakeholders.
  • Demonstrated interest and knowledge in Responsible AI practices.

Market check

Salary context

This $139,900–$274,800 range sits above 55% of similar postings on FindRole.

Peer median band

$158,400–$238,150

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$167,340–$238,250

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

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 445 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 415 roles with salary data.

Most-posted roles

View all roles at Microsoft

More like this

Similar roles

Machine Learning Engineer

Adobe

San Jose, US 12 days ago $161,700–$234,150
Python AWS GCP Azure MLOps CI/CD Docker Kubernetes Prometheus Terraform PostgreSQL Git Agentic systems Multi-agent orchestration LLM-as-a-judge Retrieval-Augmented Generation RAG NLP pipelines

Machine Learning Scientist II | Microsoft Careers

Microsoft

US 32 days ago $100,600–$199,000
Python PyTorch Transformer-based models GPT Large language models Machine learning algorithms Predictive analytics Statistical modelling Data mining CI/CD AWS Azure MLOps

Machine Learning Software Engineer

Cornell University

Remote (Ithaca (Tompkins County), US) 34 days ago $98,548–$114,529
Python Tensorflow Pytorch numpy pandas AWS GCP Azure Postgres Apache HTTP Server Apache Tomcat WordPress GeoServer Jenkins Firebase HubSpot Linux CI/CD
Remote