Senior Research Engineer Job at Microsoft Corporation (Redmond)

Senior Research Engineer

Microsoft Corporation

Location:
United States , Redmond

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

119800.00 - 234700.00 USD / Year

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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:

Bringing State-of-the-Art Research to Products
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
End-to-End System Development
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
Data-Driven Innovation
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
Cross-Functional Collaboration
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
Responsible AI & Ethics
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
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 are required for this role
These requirements include but are not limited to the following specialized security screenings: 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:

Master'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 Bachelor'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 equivalent experience
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

Additional Information:

Job Posted:
February 10, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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