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 Research Engineer at Microsoft, you will set the technical vision and lead transformative AI initiatives that shape the future of Microsoft’s products and services. Operating at the intersection of advanced research, engineering, and product strategy, you will drive innovation at scale, architecting solutions that deliver real-world impact for millions of users. You will be a recognised technical leader, influencing cross-organisational strategy, mentoring senior engineers, and representing Microsoft in the global research community.

Job Responsibility:

Architect and deliver complex AI systems across model development, data, infra, evaluation, and deployment spanning multiple product lines
Set technical direction for large programs
drive alignment across Research, Engineering, and Product
Build and harden prototypes into production-ready services using robust software engineering and MLOps practices
Integrate LLMs, multimodal models, multi-agent architectures, and RAG into Microsoft’s ecosystem
Establish best practices for MLOps, governance, and Responsible AI, compliant with Microsoft principles and industry standards
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
Production Integration: Turn research prototypes into production-quality code optimized for scale, latency, and maintainability
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
Proven track record leading large-scale AI systems and cross-org initiatives that shipped
Solid software engineering foundations and hands-on depth in Python plus deep-learning frameworks (PyTorch/ TensorFlow) and modern MLOps/tooling
Experience shipping and maintaining production AI systems
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
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

Additional Information:

Job Posted:
February 19, 2026

Employment Type:

Fulltime

Work Type:

On-site work

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