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Microsoft Corporation Logo Microsoft Corporation · IT - Software Development

Senior Research Engineer

United States, Redmond 119800.00 - 234700.00 USD / Year · Job Posted March 22, 2026
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Job Description

As a Senior Research Engineer at Microsoft, you will advance Microsoft’s mission to empower every person and every organization to achieve more. You will help build and integrate cutting-edge AI into Microsoft products and services within the Business & Industry Copilot (BIC) group, ensuring solutions are inclusive, ethical, and impactful. This role blends applied research, machine learning engineering, and product innovation. You will lead efforts to ship reliable, production-grade AI systems across the stack, from model development and fine-tuning to performance optimization and deployment.

Job Responsibility

  • Design and implement AI systems using foundation models, prompt engineering, retrieval-augmented generation, multi-agent architectures, and classic ML
  • Fine-tune large language models on domain-specific data and evaluate via offline and online methods such as A/B testing, telemetry, and shadow deployments
  • Build and harden prototypes into production-ready services using robust software engineering and MLOps practices
  • Drive original research and thought leadership (whitepapers, internal notes, patents)
  • convert insights into shipped capabilities
  • Research Translation: Continuously review emerging work
  • identify high-potential methods and adapt them to Microsoft problem spaces
  • ML Design & Architecture: Own end-to-end pipeline from data prep, training, evaluation, deployment, and feedback loops
  • Identify and resolve model quality gaps, latency issues, and scale bottlenecks using PyTorch, or TensorFlow
  • Operate CI/CD and MLOps workflows including model versioning, retraining, evaluation, and monitoring
  • Integrate AI components into Microsoft products in close partnership with engineering and product teams
  • Evaluation & Instrumentation: Build robust offline/online evals, experimentation frameworks, and telemetry for model/system performance
  • Learning Loop Creation: Operationalize continuous learning from user feedback and system signals
  • close the loop from experimentation to deployment
  • Experimentation & E2E Validation: Design controlled experiments, analyze results, and drive product/model decisions with data
  • Develop proofs of concept that validate ideas quickly at realistic scales
  • Curate high-signal datasets, including synthetic and red-team corpora, and establish labeling protocols and data quality checks tied to evaluation KPIs
  • Partner with software engineers, scientists, designers, and product managers to deliver high-impact AI features
  • Translate research breakthroughs into scalable applications aligned with product priorities
  • Communicate findings and decisions through internal forums, demos, and documentation
  • Identify and mitigate risks related to fairness, privacy, safety, security, hallucination, and data leakage
  • Uphold Microsoft’s Responsible AI principles throughout the lifecycle
  • Contribute to internal policies, auditing practices, and tools for responsible AI

Requirements

  • Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
  • Proficiency in Python and at least one deep learning framework such as PyTorch, JAX, or TensorFlow
  • Experience deploying Fine Tuned LLMs or multimodal models in live production environments
  • Experience shipping and maintaining production AI systems
  • Ability to meet Microsoft, customer and/or government security screening requirements
  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Nice to have

  • Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field and 1 or more years in applied ML or AI research and product engineering, OR 1 or more years experience with generative AI, LLMs, or related ML algorithms
  • Experience with Microsoft’s LLMOps stack: Azure AI Foundry, Azure Machine Learning, Semantic Kernel, Azure OpenAI Service, and Azure AI Search for vector/RAG
  • Familiarity with responsible AI evaluation frameworks and bias mitigation methods
  • Experience across the product lifecycle from ideation to shipping
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