We are seeking a highly motivated and experienced Senior Applied Scientist with solid machine learning expertise and can adopt state-of-art AI technologies to improve the relevance for the next generation of search.
As a team, we leverage the diverse backgrounds and experiences of passionate engineers, scientists, and program managers to help us realize our goal of making the world smarter and more productive.
We believe great products are built by inclusive teams of customer-obsessed individuals who trust each other and work together closely.
Responsibilities:
- Master one or more subareas and build expertise across a broad research landscape, including advanced research methodologies and applied techniques.
- Develop deep knowledge of a service, platform, or domain, and identify product opportunities by sharing emerging industry trends and applied technologies.
- Review business requirements and incorporate research insights to meet strategic goals.
- Provide direction on the types of data needed to solve complex problems and apply deep subject-matter expertise to drive measurable business impact.
- Support the onboarding of junior team members and help develop academic collaborators into effective contributors within multidisciplinary teams.
- Identify promising research talent, engage with the academic community, and strengthen Microsoft’s long-term recruiting pipeline.
- Document ongoing work, experimental results, and research findings to promote transparency and innovation.
- Apply your understanding of fairness and bias to help shape ethics and privacy policies related to research processes and data collection.
- Advance LLM post-training and alignment techniques by designing, implementing, and evaluating novel methods that improve reasoning quality, safety, controllability, and factual grounding across large-scale models.
- Develop next-generation search capabilities by building and optimizing retrieval, ranking, and relevance systems that integrate deeply with LLM-powered experiences.
- Architect and refine RAG pipelines that enhance retrieval fidelity, reduce hallucinations, and deliver more context-aware, user-aligned responses in production environments.
- Translate research into production by running experiments, analyzing results, and collaborating with engineering partners to deploy scalable, reliable model improvements.
- Drive scientific rigor through hypothesis-driven experimentation, reproducible methodologies, and clear documentation of findings, insights, and model behaviors.
- Collaborate across disciplines,including research, engineering, product, and design,to shape long-term strategy for search, alignment, and retrieval-augmented systems.
- Monitor and evaluate model performance using quantitative metrics, qualitative assessments, and user-centric evaluation frameworks to ensure continuous improvement.
- Contribute to a culture of innovation by sharing learnings, mentoring peers, and participating in internal research discussions, reviews, and technical deep dives.
Qualifications:
- Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
- Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
Preferred Qualifications:
- Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
- Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- 5+ years of experience coding in Python, C++, C#, C or Java.
- 3+ year of industry experience applying Machine Learning techniques.
Experience Level: senior Employment Type: full-time Workplace Type: hybrid Category: Engineering Industry: Technology Salary Range: $119,800 – $119,800 Salary Min: 119800 Salary Max: 119800 Salary Currency: USD Salary Period: year Required Skills: [Python, C++, C#, C, Java, Machine Learning] Preferred Skills: [Python, C++, C#, C, Java, Machine Learning]
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