Microsoft · 2 days ago
Senior Research Engineer
Redmond, WA
Full-time
Hybrid
Mid, Senior Level
$120K/yr - $235K/yr
4+ years expMicrosoft is a leading technology company, and they are seeking a Senior Research Engineer to contribute to the advancement of AI-first capabilities for Dynamics 365 Contact Center. The role involves designing and implementing AI systems, conducting original research, and collaborating with cross-functional teams to enhance customer engagement through intelligent cloud services.
Artificial Intelligence (AI)Enterprise SoftwareCloud ComputingCyber SecuritySoftwareProfessional ServicesInformation TechnologyAgentic AIApplication Performance ManagementBusiness DevelopmentDevOpsInformation ServicesManagement Information SystemsNetwork Security
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
Partner with product teams to improve customer and agent outcomes
Own features end-to-end from design to live-site operations 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
Read, critique, and adapt the latest research; identify gaps; design methods with clear trade-offs and guarantees; communicate complex ideas clearly
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
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 are required for this role
Preferred
Master's degree and 3 or more years in applied ML or AI research and product engineering, + OR PhD in a relevant field and 2 or more years 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
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.
10001+ employees
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
reference. (Data Powered by US Department of Labor)
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2025 (9192)
2024 (9343)
2023 (7677)
2022 (11403)
2021 (7210)
2020 (7852)
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
Satya Nadella
Chairman and CEO
Vukani Mngxati
Chief Executive Officer - Microsft South Africa
Recent News
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