Microsoft · 7 hours ago
Senior Research Engineer
Microsoft is a leading technology company that empowers every person and organization to achieve more. As a Senior Research Engineer, you will advance the integration of cutting-edge AI into Microsoft products, focusing on building reliable AI systems and ensuring responsible AI practices.
Agentic AIApplication Performance ManagementArtificial Intelligence (AI)Business DevelopmentDevOpsInformation ServicesInformation TechnologyManagement Information SystemsNetwork SecuritySoftware
Responsibilities
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
Paper level (ideas and math): Read, critique, and adapt the latest research; identify gaps; design methods with clear trade-offs and guarantees; communicate complex ideas clearly
Code level (implementation): Turn ideas into robust, tested, maintainable modules; integrate with CI/CD; profile and optimize for latency and throughput
Qualification
Required
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
Preferred
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
Benefits
Certain roles may be eligible for benefits and other compensation.
Company
Microsoft
Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.
H1B Sponsorship
Microsoft has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
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Funding
Current Stage
Public CompanyTotal Funding
$1MKey Investors
Technology Venture Investors
2022-12-09Post Ipo Equity
1986-03-13IPO
1981-09-01Series Unknown· $1M
Leadership Team
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