As a Principal Machine Learning Engineer at Microsoft AI, you will work on the Data Labeling and classification on large scale multi modal Copilot data. We're looking for a hands-on ML engineer to prototype and productionize complex classification flows on real production logs, operate prompted classifiers at scale (ad hoc and scheduled), and build secure, compliant data-labeling pipelines. We're looking for someone with experience in data pipelines, data science, and machine learning, as well as a strong communicator and great teammate. The right candidate takes the initiative and enjoys building world-class consumer experiences and products in a fast-paced environment.
Responsibilities:
- Build evaluation loops (precision/recall, calibration, drift, human-in-the-loop) and publish dashboards/SLOs.
- Generalize machine learning (ML) solutions into repeatable frameworks.
- Operationalize prompted classifiers at scale (batch & streaming), including orchestration, autoscaling, monitoring, and cost guardrails.
- Conduct thorough review of data analysis and techniques used to summarize the process review and highlight areas that have been missed or need re-examining.
- Collaborate cross-functionally with DS, Security, and Platform to define schemas, access patterns, and governance.
- 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.
Qualifications:
- 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.
- 7+ years’ experience writing production-quality Python or Java or Scala code.
- 5+ years’ experience in distributed systems design and implementation of large scale data processing systems
- 3+ years’ experience building ML data pipelines using atleast one of AML, Promptflow, Langchain or LangGraph
- Demonstrated interest in Responsible AI.
- Experience prompting, evaluating, and working with large language models.
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