Machine Learning Software Engineer at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

03 Mar, 26

Salary

0.0

Posted On

03 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Data Pipelines, Anomaly Detection, Cohort Segmentation, APIs, Dashboards, Secure Workflows, Technical Strategy, Model Evaluation, Collaboration, Coding, Observability, Responsible AI, Customer Focus, Quantitative Metrics, Qualitative Evidence

Industry

Software Development

Description

Build scalable data pipelines for telemetry ingestion, anomaly detection, and cohort segmentation. Implement ML-driven insights (prompted classifiers, anomaly detection) and integrate them into dashboards and APIs. Develop secure, compliant workflows for handling production logs and conversation data. Enable drill-down capabilities linking quantitative metrics to qualitative evidence for actionable context. Collaborate with PMs and DS to refine hypotheses and deliver intuitive, high-performance interfaces. Own technical strategy for trend detection, cohort analysis, and drill-down workflows linking quantitative metrics to qualitative conversation 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. Collaborate with PMs, data scientists, and UX to define roadmap and deliver intuitive, high-impact workflows. Independently write efficient, readable, extensible code and model pipelines. Commit to a customer-oriented focus by acknowledging customer needs and perspectives, validating customer perspectives, focusing on broader customer context, and serving as a trusted advisor. Hands-on with observability (metrics, tracing, logs) and model evaluation frameworks. 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++, C#, Java, JavaScript, or Python OR equivalent experience. Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Proven experience leading small engineering and machine learning teams, and collaborating effectively with cross-functional stakeholders including product managers, UX designers, and security specialists. Demonstrated interest in Responsible AI.

Responsibilities

Build scalable data pipelines for telemetry ingestion and implement ML-driven insights. Collaborate with PMs and data scientists to refine hypotheses and deliver intuitive, high-performance interfaces.