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machine learning engineer

Microsoft

<div>
 Are you excited by the challenge of building intelligent, autonomous systems that deliver real-world impact? The Commerce Risk Analytics team at Microsoft is looking for a machine learning engineer to design, develop, and continuously improve a multi-agent AI Risk system that enables autonomous risk transaction review and decision-making. You&rsquo;ll be working at the intersection of large language models (LLMs), applied machine learning, and platform integration&mdash;building solutions that power scenarios from fraud prevention to customer support automation.
 <br/>
 <br/>
 We&rsquo;re hiring across several focus areas, and your role will align with your expertise and interests:
 <br/>
 <br/>
 <ul>
  <li>
   Autonomous Agent Development for Risk Decision &ndash; building LLM-based decision-making agents and advancing a multi-agent risk system
  </li>
  <li>
   AI Integration &amp; MLOps &ndash; enabling scalable infrastructure, data pipelines, and operational excellence
  </li>
  <li>
   Quality &amp; Integration &ndash; focusing on agent behavior testing, UI/UX integration, and platform reliability
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 As a machine learning engineer, you will:
 <br/>
 <br/>
 <ul>
  <li>
   Design and optimize multi-agent AI architectures that enable autonomous risk assessment and decision-making at scale, leveraging agent collaboration to reduce huma manual effort and minimize false positive rates.
  </li>
  <li>
   Implement agentic ML infrastructure that automates the full model development lifecycle enabling continuous learning, adaptive optimization, and scalable risk decisioning.
  </li>
  <li>
   Build and evolve AI-driven solutions that improve the accuracy, speed, and adaptability of fraud detection across a wide range of Commerce scenarios.
  </li>
  <li>
   Develop infrastructure and MLOps pipelines to support continuous training, deployment, and monitoring
  </li>
  <li>
   Conduct rigorous behavior testing and validation, focusing on performance, safety, and real-world edge cases
  </li>
  <li>
   Integrate AI agents with Azure AI services, Microsoft Graph API, Power Platform, and internal systems
  </li>
  <li>
   Apply best practices in security, compliance, and privacy to all aspects of agent development
  </li>
  <li>
   Partner closely with product managers, engineers, and data scientists to translate complex business challenges into scalable technical solutions, ensuring alignment and impact across stakeholders
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <strong>
  Required Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
  </li>
  <ul>
   <li>
    OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
   </li>
   <li>
    OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
   </li>
   <li>
    OR equivalent experience.
   </li>
  </ul>
  <li>
   3+ years of experience in software engineering, data science, or machine learning
  </li>
  <li>
   2+ years experience with LLMs, prompt engineering, and the OpenAI API
  </li>
  <li>
   2+ years experience with Azure services, cloud infrastructure, and CI/CD pipelines
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience working with multi-agent frameworks such as AutoGen, Semantic Kernal and Langchain.
  </li>
  <li>
   Knowledge of MLOps practices, including containerization, infrastructure-as-code, and monitoring
  </li>
  <li>
   Exposure to Power Platform, Microsoft Graph API, or enterprise integration technologies
  </li>
  <li>
   Experience debugging skills and a solid understanding of security and data protection principles
  </li>
  <li>
   Ability to communicate technical concepts effectively with both technical and non-technical stakeholders
  </li>
  <li>
   Proficiency in Python for development and scripting
   <br/>
   <br/>
  </li>
 </ul>
 Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.
 <br/>
 <br/>
 Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
 <br/>
 <br/>
 Microsoft will accept applications for the role until October 29th, 2025
 <br/>
 <br/>
 <strong>
  Other Requirements
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>


Machine Learning Engineer

<div><p>As a Principal AI Applied Scientist for The Customer Service Applications Team, you will play a pivotal role in advancing Microsoft's mission to empower every individual and organization on the planet to achieve more. You will contribute to the development and integration of cutting-edge AI technologies into Microsoft products and services, ensuring they are inclusive, ethical, and impactful.<br>
<br>
You will collaborate across product, research and engineering teams to bring innovative solutions to life, applying your expertise in machine learning, data science, and AI to solve complex problems. Your work will directly influence product direction and customer experiences.</p><p><b>
AI Mission and Impact</b></p><p>
We are in an era of unprecedented innovation and openness. As Microsoft continues to lead in AI, we are seeking individuals to help tackle some of the most exciting and meaningful challenges in the field. Our vision is to build a truly open architecture platform that enables users to summon tailored AI agents to drive real-world outcomes.</p><p>
We are looking for a Principal AI Applied Scientist to join our team<br>
<br>
This role will combine AI knowledge with applied science expertise and demonstrate a growth mindset and customer empathy. Join us in shaping the future of AI agents.</p><p>
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><p><b>
Bringing the State of the Art to Products</b></p><ul><li>
Build collaborative relationships with product and business groups to deliver AI-driven impact</li><li>
Research and implement state-of-the-art using foundation models, prompt engineering, RAG, graphs, multi-agent architectures, as well as classical machine learning techniques.</li><li>
Fine-tune foundation models using domain-specific datasets. - Evaluate model behavior on relevance, bias, hallucination, and response quality via offline evaluations, shadow experiments, online experiments, and ROI analysis.</li><li>
Build rapid AI solution prototypes, contribute to production deployment of these solutions, debug production code, and support MLOps/AIOps.<br>
Contribute to papers, patents, and conference presentations. - Translate research into production-ready solutions and measure their impact through A/B testing and telemetry that address customer needs.</li><li>
Ability to use data to identify gaps in AI quality, uncover insights, and implement PoCs to show proof of concepts.</li></ul><div></div><p><b><br>
Leveraging Research in real-world problems</b></p><ul><li>
Drive original research and thought leadership (whitepapers, internal notes, patents); convert insights into shipped capabilities.</li><li>
Research Translation: Continuously review emerging work; identify high-potential methods and adapt them to Microsoft problem spaces.</li><li>
Production Integration: Turn research prototypes into production-quality code optimized for scale, latency, and maintainability.</li><li>
ML Design &amp; Architecture: Own end-to-end pipeline from data prep, training, evaluation, deployment, and feedback loops.</li><li>
Evaluation &amp; Instrumentation: Build robust offline/online evals, experimentation frameworks, and telemetry for model/system performance.</li><li>
Learning Loop Creation: Operationalize continuous learning from user feedback and system signals; close the loop from experimentation to deployment.</li><li>
Experimentation &amp; E2E Validation: Design controlled experiments, analyze results, and drive product/model decisions with data.</li></ul><div></div><p><b><br>
Cross-Functional Collab</b><b>oration &amp; Influence</b></p><ul><li>
Broker collaborations across Microsoft Research, product engineering, and external partners.</li></ul><p></p><p><b><br>
Ethics, </b><b>Privacy</b><b> and Security</b></p><ul><li>
Apply a deep understanding of fairness and bias in AI by proactively identifying and mitigating ethical and security risks&mdash;including XPIA (Cross-Prompt Injection Attack) unfairness, bias, and privacy concerns&mdash;to ensure equitable and responsible outcomes.</li><li>
Ensure responsible AI practices throughout the development lifecycle, from data collection to deployment and monitoring.</li><li>
Contribute to internal ethics and privacy policies and ensure responsible AI practice throughout AI development cycle from data collection to model development, deployment, and monitoring.</li></ul><p><b>
Specialty Responsibilities</b></p><ul><li>
Design, develop, and integrate generative AI solutions using foundation models and more.</li><li>
Deep understanding of small and large language models architecture, Deep learning, fine tuning techniques, multi-agent architectures, classical ML, and optimization techniques to adapt out-of-the-box solutions to particular business problems</li><li>
Prepare and analyze data for machine learning, identify optimal features, and address data gaps.</li><li>
Develop, train, and evaluate machine learning models and algorithms to solve complex business problems, using modern frameworks and state-of-the-art models, open-source libraries, statistical tools, and rigorous metrics</li><li>
Address scalability and performance issues using large-scale computing frameworks.</li><li>
Monitor model behavior, , guide product monitoring and alerting, and adapt to changes in data streams.</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><p><b>
Required Qualifications :</b></p><ul><li>
Bachelor'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)
<ul><li>OR Master'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)
</li><li>OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.</li></ul></li><li>
8+ years of experience leading large-scale AI systems and cross-org initiatives that shipped.</li><li>
8+ years of experience in software engineering foundations and hands-on depth in Python plus deep-learning frameworks (PyTorch/ TensorFlow) and modern MLOps/tooling.</li></ul><div></div><div><b><br>
Other Requirements:</b></div><ul><li>
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:</li><li><div><ul><li>
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.</li></ul></div></li></ul><div></div><p><b><br>
Preferred Qualifications:</b></p><ul><li>
PhD in AI/ML or related field with top-venue publications and/or patents.</li><li>
Experience architecting and deploying LLMs/multimodal models and multi-agent systems in production at scale.</li><li>
Familiarity with Responsible AI frameworks and bias-mitigation techniques.</li><li>
Demonstrated ability to shape product strategy and drive organizational change.</li><li>
Experience with Microsoft&rsquo;s LLMOps stack: Azure AI Foundry, Azure Machine Learning, Semantic Kernel, Azure OpenAI Service, and Azure AI Search for vector/RAG</li></ul><div></div><div><br>
Applied Sciences IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.<br>
<br>
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
<br>
<br>
Microsoft will accept applications for the role until November 6, 2025.</div><div></div><div><br>
#BICJobs</div>
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div>

Principal AI Applied Scientist

<div><div>Microsoft <b>Cloud Operations + Innovation (CO+I)</b> is the engine that powers Microsoft&rsquo;s cloud services. Our team is dedicated to delivering high-quality infrastructure to support cloud operations. As Microsoft&rsquo;s cloud business continues to mature, our infrastructure expansion accelerates&mdash;with Data Centers at the core of this growth. To support this momentum, we are scaling the acquisition and development of our owned, designed, and constructed Data Center facilities. In parallel, we continue to lease and acquire Data Center capacity at pace, especially in high-growth markets. This involves close collaboration with Data Center operators across regions and around the globe.</div><div></div><div><br>
We are seeking a skilled <b>Senior Data Scientist</b> to join our <b>CO+I Lease and Land Development Digital Transformation team</b>. This role is ideal for someone who thrives in a fast-paced environment, enjoys solving complex problems, and is passionate about using data to influence product strategy and enhance customer experience. You will collaborate with cross-functional teams&mdash;including PMs, engineers, and business stakeholders&mdash;to deliver AI and Agentic AI solutions, actionable insights, and scalable data systems.</div><div></div><div><br>
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees, we embrace a growth mindset, innovate to empower others, and collaborate to achieve shared goals. Every day, we build on our values of respect, integrity, and accountability to foster a culture of inclusion where everyone can thrive&mdash;at work and beyond.</div><div></div><div><br>
In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment that positively impacts our culture every day.</div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul><li>
Apply modification techniques to transform raw data into compatible formats for downstream systems. Utilize software and computing tools to ensure data quality and completeness. Implement code to extract and validate raw data from upstream sources, ensuring accuracy and reliability.</li><li>
Writes efficient, readable, extensible code from scratch that spans multiple features/solutions. Develops technical expertise in proper modeling, coding, and/or debugging techniques such as locating, isolating, and resolving errors and/or defects.
</li><li>Leverages technical proficiency of big-data software engineering concepts, such as Hadoop Ecosystem, Apache Spark, continuous integration and continuous delivery (CI/CD), Docker, Delta Lake, MLflow, AML, and representational state transfer (REST) application programming interface (API) consumption/development</li><li>
Acquires data necessary for successful completion of the project plan. Proactively detects changes and communicates to senior leaders. Develops usable data sets for modeling purposes. Contributes to ethics and privacy policies related to collecting and preparing data by providing updates and suggestions around internal best practices. Contributes to data integrity/cleanliness conversations with customers</li><li>
Adhere to data modeling and handling procedures to maintain compliance with laws and policies. Document data type, classifications, and lineage to ensure traceability and govern data accessibility.</li><li>
Perform root cause analysis to identify and resolve anomalies. Implement performance monitoring protocols and build visualizations to monitor data quality and pipeline health. Support and monitor data platforms to ensure optimal performance and compliance with service level agreements.</li><li>
Knowledge and implementation of an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.</li><li>
Leverages knowledge of machine learning solutions (e.g., classification, regression, clustering, forecasting, NLP, image recognition, etc.) and individual algorithms (e.g., linear and logistic regression, k-means, gradient boosting, autoregressive integrated moving average [ARIMA], recurrent neutral networks [RNN], long short-term memory [LSTM] networks) to identify the best approach to complete objectives. Understands modeling techniques (e.g., dimensionality reduction, cross validation, regularization, encoding, assembling, activation functions) and selects the correct approach to prepare data, train and optimize the model, and evaluate the output for statistical and business significance. Understands the risks of data leakage, the bias/variance tradeoff, methodological limitations, etc.
</li><li>Writes all necessary scripts in the appropriate language: T-SQL, U-SQL, KQL, Python, R, etc. Constructs hypotheses, designs controlled experiments, analyzes results using statistical tests, and communicates findings to business stakeholders. Effectively communicates with diverse audiences on data quality issues and initiatives. Understands operational considerations of model deployment, such as performance, scalability, monitoring, maintenance, integration into engineering production system, stability. Develops operational models that run at scale through partnership with data engineering teams. Coaches less experienced engineers on data analysis and modeling best practices. Develops a strong understanding of the Microsoft toolset in artificial intelligence (AI) and machine learning (ML) (e.g., Azure Machine Learning, Azure Cognitive Services, Azure Databricks).
</li><li>Design and Implement Dashboards: Develop user-friendly dashboards for various applications, such as Supplier Spend Analytics, Supplier Scorecards, Incident and Service Level Agreement (SLA) Compliance Monitoring, Spares and Inventory Management, and other business-facing applications.</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><div><b>
Required Qualifications:</b></div><ul><li><div>
Bachelor&rsquo;s or Master&rsquo;s degree in computer science, Math, Software Engineering, Computer Engineering</div><ul><li><div>
or related field AND 3+ years&rsquo; experience in business analytics, data science, data modeling, or data engineering.</div></li></ul></li><li>
Excellent analytical skills with a systematic and structured approach to software design.</li><li>
5+ years of experience in data science, analytics, or machine learning.</li><li>
2+ years of experience within model deployment &amp; operations: experience deploying agents in Azure cloud environments, with familiarity in containerization, continuous integration/continuous development pipelines and model monitoring.<br>
5+ years of experience within data handling &amp; feature development: Experience in handling large-scale structured and unstructured datasets, including time-series and text data, and applying advanced feature engineering techniques.</li><li>
3+ years of experience in coding and design, specifically in the development of AI models for production services.</li><li>
4+ years of experience in developing solutions with Microsoft Power Platform, including Power BI, Fabric, Power Automate &amp; M365 Dataverse.</li><li>
Experience with data cloud computing technologies such as &ndash; Azure Synapse, Azure Data Factory, SQL, Azure Data Explorer</li></ul><div>
While not required, we also look for the following<b> </b><b>Preferred Qualifications:</b></div><ul><li>
5+ years of experience with large data and compute using tools like spark, SQL, databases, other cloud solutioning (e.g. deployment, monitoring).</li><li>
1+ years of experience within agent communication &amp; protocols: Experience designing and implementing multi-agent systems using communication protocols such as MCP or similar. Ability to structure agent interactions, manage stateful dialogs, and coordinate task execution across distributed AI agents in enterprise environments.</li><li>
3+ years of experience in building Data Pipelines using Azure Data Factory.</li><li>
5+ years of experience cross-functional collaboration: Ability to partner with software engineers, product managers, and business stakeholders to translate business needs into AI-driven solutions.</li><li>
5+ years of experience with large data and compute using tools like spark, SQL, databases, other cloud solutioning (e.g. deployment, monitoring).</li><li>
5+ years of experience communicating at different levels (e.g. customers, executives) to clarify problem statements, solutions and product feedback.</li><li>
2+ years of exposure to Power Platform, Microsoft Graph API, or enterprise integration technologies</li><li>
1+ year of experience in developing solutions in Azure Fabric.</li><li>
Knowledge of MLOps practices, including containerization, infrastructure-as-code, and monitoring<br>
Ability to communicate technical concepts effectively with both technical and non-technical stakeholders</li></ul><div><b><br>
Background Check Requirements:</b></div><div>
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:</div><ul><li>
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul><div>
#COICareers | #EPCCareers | #DCDCareers</div><div></div><div><br>
Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.<br>
<br>
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
<br>
<br>
Microsoft will accept applications for the role until October 31, 2025.</div><br>
<div></div>
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div>

Senior Data Scientist

<div><div>Join us in building a cutting-edge platform that enables seamless observation and interaction with AI agents. Our mission is to empower creators and organizations by providing tools for Human-in-the-Loop (HITL) workflows, intelligent prioritization, and advanced learning systems. You&rsquo;ll be part of a team that thrives on innovation and collaboration to redefine how humans and AI work together.</div><div></div><div><br>
As a<b> Research Engineer</b>, you will design and implement research-driven solutions that enhance agent transparency, task grouping, and adaptive learning. You&rsquo;ll explore methods for integrating memory, knowledge graphs, evaluations, and AI judges into our platform to improve agent performance and user experience. This role offers opportunities to deepen your expertise in applied AI, contribute to scalable systems, and shape the future of human-AI collaboration. You will work closely with internal and external stakeholders to develop algorithms that analyze interactions and generate actionable insights. Your contributions will help create teaching and learning moments for agent makers, driving continuous improvement. This position provides a flexible work environment and the chance to accelerate your career while influencing next-generation AI platforms.</div><div><br>
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</div><div></div><div><br>
#EiP</div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul><li>
Design and implement algorithms that enable transparent, interactive AI agent workflows.
</li><li>Collaborate with engineers and researchers to integrate HITL capabilities, memory, knowledge, and evaluation frameworks into the platform.
</li><li>Analyze agent-human interactions to extract insights, optimize task prioritization, and create adaptive learning mechanisms.
</li><li>Drive experimentation, validate hypotheses, and contribute to scalable solutions that improve both internal and client-facing AI agents.</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><div><b>
Required Qualifications:</b></div><ul><li>
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND relevant internship experience, e.g., It could include examples as well: prompt engineering, agent orchestration (Semantic Kernel, LangChain), offline and online evaluation, and customization techniques for large language models (Fine tuning, RAG, memory and prompt optimization)<ul><li>
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field<br>
</li><li>
OR equivalent experience.</li></ul></li></ul><div></div><div><b>
Other Requirements</b>:</div><div></div><div><br>
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:</div><ul><li><b>
Microsoft Cloud Background Check</b>: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul><div><b>
Preferred Qualifications:</b></div><ul><li>
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering,or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research<ul><li>
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, orrelated field</li><li>
OR equivalent experience.</li></ul></li></ul><div>
Applied Sciences IC2 - The typical base pay range for this role across the U.S. is USD $84,200 - $165,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $109,000 - $180,400 per year.<br>
<br>
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
<br>
<br>
Microsoft will accept applications for the role until November 30th, 2025.</div><div></div><div><br>
#BICJOBS #BIC, #Agent, #AI #EiP</div>
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div>

Research Engineer

<div><div>We turn everyday, messy queries into precise, actionable signals that power M365 Copilot and Microsoft Search. Language understanding (LU) sits on the critical path&mdash;it can run on every query&mdash;classifying intent and slots and shaping the downstream search plan across providers in the substrate stack. Our work ensures that all tool calls are appropriately scoped and parameterized so Copilot starts with the right grounding data, improving relevance and limiting hallucinations.</div><div><br>
As <b>Senior Applied Scientist - Language Understanding and Grounding Data Quality</b>, what you&rsquo;ll work on<br>
<br>
Large Language Model (LLM)/SLMpowered LU: intent &amp; slotting with calibrated confidence, optimized for low latency and high reliability in Copilot experiences<br>
<br>
MultiQuery (MQ) expansion: embrace ambiguity by exploring multiple interpretations and smarter fallbacks to boost recall without sacrificing precision.<br>
<br>
Finetuning &amp; eval tooling: Our team works to improve model quality specific to tool calling: Making sure the right tool is called in the right way at the right time to get the best grounding data possible. To do it, we post-train LLMs iterating fast with robust datasets, prompt evaluation, and shiproom discipline to raise quality week over week through leading edge fine-tuning<br>
<br>
Global reach: help bring LU to more languages and markets with compliant modeling practices and scalable i18n strategy.<br>
<br>
Deep partner collaboration: work side-by-side with Relevance and Reasoning on unified strategies that blend lexical + semantic retrieval.</div><div><br>
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul><li>
Improve LLM capabilities influencing grounding data quality.</li><li>
Apply latest research to post-train LLMs.</li><li>
Build and evaluate metrics and reward models.</li><li>
Add new functionality and ensure high quality for customers using Copilot on their Business data.</li><li>
Design and implement scalable evaluation pipelines for LU and grounding quality</li><li>
Collaborate with cross-functional teams to define success metrics and drive continuous improvement in Copilot experiences</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><div><b>
Required Qualifications:</b></div><ul><li>
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)
<ul><li>OR 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)
</li><li>OR 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)
</li><li>OR equivalent experience.</li></ul></li><li>
Experience in Python, C# or similar programming languages for model development, training, and evaluation</li><li>
Experience with large-scale machine learning systems, including training, fine-tuning, and deployment of LLMs or similar models</li></ul><div><b>
Other Requirements:</b><br>
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:</div><ul><li><b>
Microsoft Cloud Background Check</b>: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul><div><b>
Preferred Qualifications</b></div><ul><li>
Hands-on experience with prompt engineering, reinforcement learning from human feedback (RLHF), or reward modeling</li><li>
Familiarity with distributed systems and cloud platforms (e.g., Azure) for large-scale ML workloads</li></ul><div>
Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.<br>
<br>
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
<br>
<br>
Microsoft will accept applications for the role until October 31, 2025.</div><br>
<div></div>
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div>

Senior Applied Scientist - Language Understanding and Grounding Data Quality

<div><div>As a <b>Senior AI Applied Scientist</b> for The Customer Service Applications Team, you will play a pivotal role in advancing Microsoft's mission to empower every individual and organization on the planet to achieve more. You will contribute to the development and integration of cutting-edge AI technologies into Microsoft products and services, ensuring they are inclusive, ethical, and impactful.<br>
<br>
You will collaborate across product, research and engineering teams to bring innovative solutions to life, applying your expertise in machine learning, data science, and AI to solve complex problems. Your work will directly influence product direction and customer experiences.<br>
<br>
AI Mission and Impact:<br>
<br>
We are in an era of unprecedented innovation and openness. As Microsoft continues to lead in AI, we are seeking individuals to help tackle some of the most exciting and meaningful challenges in the field. Our vision is to build a truly open architecture platform that enables users to summon tailored AI agents to drive real-world outcomes.<br>
<br>
We are looking for anSenior AI Applied Scientist to join our team!<br>
<br>
This role will combine AI knowledge with applied science expertise, and demonstrate a growth mindset and customer empathy. Join us in shaping the future of AI agents.<br>
<br>
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul><li>
Bringing the State of the Art to Products.</li><li><div>
Build collaborative relationships with product and business groups to deliver AI-driven impact.<br>
<ul><li>
</li>
Research and implement state-of-the-art using foundation models, prompt engineering, RAG, graphs, multi-agent architectures, as well as classical machine learning techniques.<br>
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</li>
Fine-tune foundation models using domain-specific datasets. - Evaluate model behavior on relevance, bias, hallucination, and response quality via offline evaluations, shadow experiments, online experiments, and ROI analysis.<br>
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</li><li>
Build rapid AI solution prototypes, contribute to production deployment of these solutions, debug production code, support MLOps/AIOps.</li></ul></div></li></ul><ul><li><div>
Contribute to papers, patents, and conference presentations. - Translate research into production-ready solutions and measure their impact through A/B testing and telemetry that address customer needs.<br>
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</li>
Ability to use data to identify gaps in AI quality, uncover insights and implement PoCs to show proof of concepts.<br>
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</li></ul></div></li>
Leveraging Research in real-world problems<br>
Demonstrate deep expertise in AI subfields (e.g., deep learning, Generative AI, NLP, muti-modal models) to translate cutting-edge research into practical, real-world solutions that drive product innovation and business impact.<br>
<li><ul><li>
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Share insights on industry trends and applied technologies with engineering and product teams.<br>
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Formulate strategic plans that integrate state-of-the-art research to meet business goals.<br>
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</li></ul></li>
Documentation<br>
Maintain clear documentation of experiments, results, and methodologies.<br>
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</li>
Share findings through internal forums, newsletters, and demos to promote innovation and knowledge sharing<br>
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</li></ul></li>
Ethics, Privacy and Security<br>
Apply a deep understanding of fairness and bias in AI by proactively identifying and mitigating ethical and security risks&mdash;including XPIA (Cross-Prompt Injection Attack) unfairness, bias, and privacy concerns&mdash;to ensure equitable and responsible outcomes.<br>
<li><ul><li>
</li>
Ensure responsible AI practices throughout the development lifecycle, from data collection to deployment and monitoring.<br>
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</li>
Contribute to internal ethics and privacy policies and ensure responsible AI practice throughout AI development cycle from data collection to model development, deployment, and monitoring.<br>
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</li></ul></li>
Specialty Responsibilities<br>
Design, develop, and integrate generative AI solutions using foundation models and more.<br>
<li><ul><li>
</li>
Deep understanding of small and large language models architecture, Deep learning, fine tuning techniques, multi-agent architectures, classical ML, and optimization techniques to adapt out-of-the-box solutions to particular business problems<br>
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</li>
Prepare and analyze data for machine learning, identifying optimal features and addressing data gaps.<br>
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Develop, train, and evaluate machine learning models and algorithms to solve complex business problems, using modern frameworks and state-of-the-art models, open-source libraries, statistical tools, and rigorous metrics<br>
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Address scalability and performance issues using large-scale computing frameworks.<br>
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</li><li>
Monitor model behavior, guide product monitoring and alerting, and adapt to changes in data streams.</li><li>
Embody our culture and values.</li></ul></li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><div><b>
Required Qualifications:</b></div><ul><li>
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)
<ul><li>OR 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)
</li><li>OR 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)
</li><li>OR equivalent experience.</li></ul></li></ul><ul><li>
1+ years of experience with generative AI OR LLM/ML algorithms.</li><li>
1+ research and implement state-of-the-art using foundation models, prompt engineering, RAG, graphs, multi-agent architectures, as well as classical machine learning techniques.</li></ul><div></div><div><b><br>
Other Requirements:</b></div><div>
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:</div><ul><li><b>
Microsoft Cloud Background Check:</b> This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul><div><b>
Preferred Qualifications:</b></div><br>
<ul><li>
Experience with MLOps Workflows, including CI/CD, monitoring, and retraining pipelines.<br>
</li>
Familiarity with modern LLMOps frameworks (e.g., LangChain, PromptFlow).<br>
<li>
</li>
3+ years of experience publishing in peer-reviewed venues or filing patents.<br>
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</li>
Experience presenting at conferences or industry events.<br>
<li>
</li>
3+ years of experience conducting research in academic or industry settings.<br>
<li>
</li>
1+ year of experience developing and deploying live production systems.<br>
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</li>
1+ years of experience working with Generative AI models and ML stacks.<br>
<li>
</li><li>
Experience across the product lifecycle from ideation to shipping.</li></ul><div><b>
Applied Sciences IC4</b> - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.<br>
<br>
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay<br>
<br>
<br>
</div><div>Microsoft will accept applications for the role until October 31, 2025.</div><div></div><div><br>
#BIC</div><div>
#BICJOBS</div>
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div>

Senior AI Applied Scientist

<div><div>The Microsoft Applied Sciences Group incubates disruptive technologies for Microsoft&rsquo;s next-gen hardware products and is working on several exciting projects that will shape how computers and other devices perceive the user and the user&rsquo;s environment. Operating as a startup within the company, this team works closely with several research and product teams to bring compelling new experiences to the market. A lot of these experiences are powered by machine learning &ndash; and as part of this team, you will have the unique opportunity to work on almost every aspect of a machine learning project - from ideation to shipping. You will have the opportunity to turn ideas into reality with real-world impact at Microsoft scale.</div><div><br>
As<b> Principal Researcher</b> you will have the opportunity to design and lead the implementation of state-of-the-art language and multimodal models to transform the Windows experience. You will have the opportunity to collaborate with people at the forefront of their field from across the organization and see your ideas turn ideas into reality with real-world impact at Microsoft scale. This is a hands-on role.<br>
<br>
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul><li>
Research focusing on foundation models - Designing and training language and multimodal models (and finetunes) with supervised finetuning, distillation, reinforcement learning, low-rank adaptation.</li><li>
Research focusing on environment interaction, policy specification and verification and human intent alignment.</li><li>
Implementation: Train, distill, and finetune language and vision models in PyTorch, DeepSpeed, AzureML stack.</li><li>
Machine learning engineering - Build pipelines to test designs, algorithms and models.</li><li>
Data science - Research and develop synthetic data generation strategies.</li><li>
Proactively follow state of the art research and share latest work, write papers, attend conferences and share knowledge in the wider team.</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><div><b>
Required Qualifications:</b></div><ul><li>
Doctorate in relevant field AND 3+ years related research experience<ul><li>
OR equivalent experience.</li></ul></li><li>
Experience conducting research as part of a research program in academic or industry settings.</li></ul><div></div><div><b>
Other Requirements</b>: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:</div><ul><li><b>
Microsoft Cloud Background Check</b>: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul><div><b>
Preferred Qualifications:</b></div><ul><li><div>
3+ years' experience training and/or finetuning large language models, model compression, distillation to small language models.</div></li><li>
3+ years' experience with Python and deep learning libraries</li><li>
Experience in large language/multimodal model training, finetuning and distillation.</li><li>
Demonstrated record of publications in top-tier conferences or journals (ICLR, ACL, EMLP, ICML, CVPR, ICCV, ECCV, NeurIPS, TPAMI, etc.).</li><li>
Experience in creating reusable software libraries and packages.</li><li>
Experience using dataset curation, data generation using prompting state of art LLMs and/or model alignment.</li><li>
Experience with reinforcement learning libraries or formal methods and verification is a plus.</li><li>
Demonstrated ability and passion for incubating new ideas, solving problems, and building working systems.</li></ul><div>
Research Sciences IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.<br>
<br>
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay<br>
<br>
Microsoft will accept applications for the role until November 14, Year.</div><div></div><div><br>
#W+DJOBS</div><div>
#llm
</div><div>#agents
</div><div>#microsoft
</div><div>#ai</div>
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div>

Principal Researcher

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