CrawlJobs Logo

Applied AI Scientist II

https://www.microsoft.com/ Logo

Microsoft Corporation

Location Icon

Location:
United States , Multiple Locations

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

100600.00 - 199000.00 USD / Year

Job Description:

Microsoft Sentinel Platform NEXT R&D labs is the strategic incubation engine behind the next generation of AI-native security products. We are looking to hire an Applied Researcher who thrives in a bottoms-up, fast-paced, highly technical environment. The Sentinel Platform team will be building cloud solutions meeting scales that few companies in the industry are required to support, that leverage state-of-the-art technologies to deliver holistic protection to a planet scale user base. Our team blends scientific rigor, curiosity, and customer obsession to deliver life-changing innovations that protect millions of users and organizations by building the next generation of Artificial Intelligence (AI)-native security products. We pursue long horizon bets while landing near term impact, taking ideas from zero-to-one (0→1) prototypes to Minimum Viable Products (MVPs) and then one-to-many (1→N) platform integration across Microsoft Defender, Sentinel, Entra, Intune, and Purview. Our culture blends ambition and scientific rigor with curiosity, humility, and customer obsession; we invest in new knowledge, collaborate across worldclass scientists and engineers, and tackle the immense challenge of protecting millions of customers. As an Applied AI Scientist, you will lead product-focused applied research and development (R&D) in artificial intelligence and machine learning, driving innovation from concept to production. You will work on a wide range of AI/ML challenges, including, but not limited to, model design, continuous training, optimization, evaluation, and deployment, collaborating with world-class scientists and engineers to deliver robust, scalable, and responsible AI systems for security applications.

Job Responsibility:

  • AI/ML Research: design, development, and analysis of novel AI and machine learning models and algorithms for security and enterprise-scale applications
  • Innovate Across Domains: Explore and apply a broad spectrum of AI/ML techniques, including deep learning, Bayesian probabilistic modeling, classical ML, generative models, and hybrid approaches
  • Experimentation & Evaluation: Design and execute experiments, simulations, and evaluations to validate models and system performance, ensuring measurable improvements
  • Collaboration: Partner with engineering, product, and research teams to translate scientific advances into robust, scalable, and production-ready solutions
  • Customer Impact: Engage with enterprise customers and field teams to co-design solutions, gather feedback, and iterate quickly based on real-world telemetry and outcomes

Requirements:

  • 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) 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) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience
  • Ability to meet Microsoft, customer and/or government security screening requirements
  • Must pass Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter

Nice to have:

  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience OR Master's Degree AND 3+ years related experience OR Doctorate AND 1+ year(s) related experience OR equivalent experience
  • 1+ years working with Machine Learning (ML)/Artificial Intelligence (AI) systems (e.g., Large Language Models (LLM/LRM)/Generative AI (GenAI), retrieval/Retrieval-Augmented Generation (RAG), model serving, experimentation platforms, data pipelines) including establishing evaluation metrics and improving model quality
  • Demonstrated success driving zero-to-one (0→1) initiatives ML background and hands-on experience, Experience with ML lifecycle: model training, fine-tuning, evaluation, continuous monitoring, and more
  • Coding ability in one or more languages (e.g., Python, C#, C++, Rust, JavaScript/TypeScript)
  • Familiarity and previous work in the field of cybersecurity (e.g., threat detection/response, SIEM/SOAR, identity, endpoint, cloud security) and familiarity with analyst workflows

Additional Information:

Job Posted:
March 14, 2026

Employment Type:
Fulltime
Work Type:
Remote work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Applied AI Scientist II

Applied Scientist II - AI

As an Applied Scientist II - AI for the Customer Experience Architecture team (C...
Location
Location
United States , Redmond
Salary
Salary:
100600.00 - 199000.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 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)
  • 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)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
  • OR equivalent experience
  • 1+ years of experience with Generative AI OR Large Language Model (LLM)/Machine Learning algorithms
  • Ability to meet Microsoft, customer and/or government security screening requirements
  • This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Job Responsibility
Job Responsibility
  • Build collaborative relationships with product and business groups to deliver AI-driven impact
  • Research and implement state-of-the-art using foundation models, prompt engineering, RAG, graphs, multi-agent architectures, as well as classical machine learning techniques
  • 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
  • Build rapid AI solution prototypes, contribute to production deployment of these solutions, debug production code, support MLOps/AIOps
  • 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
  • Ability to use data to identify gaps in AI quality, uncover insights and implement PoCs to show proof of concepts
  • 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
  • Share insights on industry trends and applied technologies with engineering and product teams
  • Fulltime
Read More
Arrow Right

Applied Scientist II / Senior Applied Scientist

The CoreAI Platform and Tools organization is building transformative experience...
Location
Location
United States , Redmond
Salary
Salary:
100600.00 - 199000.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science, Computational Linguistics, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Master's Degree in Computer Science, Computational Linguistics, or related field AND 1+ year(s) related experience
  • OR Doctorate in Computer Science, Computational Linguistics, or related field
  • OR equivalent experience
  • Ability to meet Microsoft, customer and/or government security screening requirements
  • Microsoft Cloud Background Check
Job Responsibility
Job Responsibility
  • Conduct supervised fine-tuning of LLMs, applying Reinforcement Learning from Human Feedback in the process, and conducting thorough evaluation of those
  • Work with tech lead on the design and implementation of Agent adversarial evaluations and safety mitigations, enabling agent creators to identify potential risks and apply appropriate safeguards to ensure the safety and security of Agents
  • Collaborate closely with the Responsible AI engineering team to deliver these mitigations at scale for Responsible AI customers, refine existing implementations based on operational performance, and troubleshoot and resolve end-to-end issues
  • Fulltime
Read More
Arrow Right

Applied Scientist II and Senior Applied Scientist

Come build community, explore your passions and do your best work at Microsoft. ...
Location
Location
United States , Redmond
Salary
Salary:
100600.00 - 199000.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 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) 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) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience
  • 2+ years experience delivering, scaling, and maintaining highly successful and innovative machine learning products
  • 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers)
  • Experience with Large Language Models: Demonstrated experience working with LLMs, such as GPT, BERT, or similar models, including knowledge of their strengths, limitations, and capabilities
  • Understanding of NLP: In-depth knowledge of natural language processing (NLP) techniques and concepts, including tokenization, semantic analysis, and text generation
  • Understanding of state-of-the-art machine learning and deep learning technologies. In particular, hands-on experiences with deep learning models (DNN, Attention, CNN, RNN) and frameworks (TensorFlow, PyTorch, Keras, etc.)
  • Algorithmic and analytical background and understanding on how to apply advanced knowledge to solve real problems
  • Experience in parallel or distributed processing, high performance computing, stream computing and SCOPE
Job Responsibility
Job Responsibility
  • Building and maintaining production machine learning models for ad retrieval, quality prediction and creative generation
  • Finding insights and forming hypothesis on web-scale data with various machine learning, feature engineering, statistical, and data mining techniques: e.g. regression, classification, NLP, optimization, p-values analysis
  • Designing experiments, understanding the resulting data, and producing actionable, trustworthy conclusions from them
  • Craft and Optimize Prompts for Effective LLM Performance: Design, test, and refine prompts to elicit accurate, relevant, and useful responses from LLMs. This involves understanding the nuances of how the model interprets different inputs, experimenting with various prompt formulations, and iterating based on performance metrics and user feedback
  • Wrangling large amounts of data (think petabytes) using various tools, including open-source ones and your own. All programming languages are welcome, especially Python, R, C#, C++, Java, and SQL
  • Taking complex problems and the associated data and giving the answers in a concise form to assist senior executives in making key business decision
  • Fulltime
Read More
Arrow Right

Applied AI Engineer II

Microsoft Dynamics 365 powers mission-critical business operations across the gl...
Location
Location
United States , Redmond
Salary
Salary:
100600.00 - 199000.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience
  • 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
Job Responsibility
Job Responsibility
  • Apply both software engineering and AI experience to build intelligent, scalable solutions that power Dynamics 365 services used globally
  • Collaborate with cross-functional teams to deliver high-impact features aligned with enterprise standards and cloud-scale requirements
  • Design and develop highly usable, scalable application capabilities, integrating AI models and enhancing existing features to meet evolving customer needs
  • Build and debug production-grade code in distributed systems
  • Translate business requirements into AI solutions, collaborating with data scientists, product managers, and engineering teams to ensure alignment and impact
  • Optimize AI model performance and reliability in production environments, including retraining, evaluation, and continuous monitoring
  • Own architecture, strategy, and execution of AI-powered features across Dynamics 365 Sales and Service, ensuring technical alignment with Microsoft’s cloud-scale services and AI platform direction
  • Design and deliver production-ready AI solutions that leverage large language models (LLMs), natural language understanding, speech, and real-time reasoning to improve agent productivity and customer satisfaction
  • Lead complex technical initiatives, including AI model integration, platform scalability, reliability, and long-term maintainability
  • Collaborate with applied scientists, product managers, and UX teams to translate customer needs into intelligent capabilities that deliver measurable business value
  • Fulltime
Read More
Arrow Right

AI Applied Scientist II

As a Applied Scientist II - AI for The Customer Service Applications Team, you w...
Location
Location
United States , Redmond, WA
Salary
Salary:
100600.00 - 199000.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 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)
  • 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)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
  • OR equivalent experience
  • 1+ years of experience with Generative AI OR LLM/ML algorithms
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
Job Responsibility
Job Responsibility
  • Collaborate with product and business teams to deliver impactful AI solutions using advanced techniques like foundation models, prompt engineering, and multi-solution architectures
  • Fine-tune AI models with domain-specific data, evaluate and monitor their performance, and rapidly prototype and deploy AI systems
  • Support MLOps by translating research into production-ready applications, maintaining clear documentation, and sharing insights
  • Proactively address ethical, privacy, and security risks to ensure responsible AI development throughout the lifecycle
  • Design, develop, and integrate generative AI solutions using deep understanding of language models, deep learning, and optimization techniques to solve business problems
  • Prepare and analyze data for machine learning, identify optimal features, and address data gaps using modern frameworks and state-of-the-art models
  • Ensure scalability and performance of AI solutions, continuously monitor model behavior, and adapt to evolving data streams
  • Fulltime
Read More
Arrow Right

Applied Scientist II and Senior: Microsoft AI Development Acceleration Program

Come build community, explore your passions, and do your best work at Microsoft....
Location
Location
United States , Redmond
Salary
Salary:
100600.00 - 199000.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 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)
  • 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)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
  • OR equivalent experience
  • Candidates must be available to start full-time in July 2026
Job Responsibility
Job Responsibility
  • Research, develop, and lead the implementation of AI solutions in application projects for Microsoft’s products and services
  • Select and apply appropriate statistical and machine learning techniques to large-scale, high-dimensional data
  • Stay current with the latest research and technology and communicate your knowledge throughout the organization
  • Take responsibility for preparing data for analysis, reviewing data preparation/ETL code, and providing critical feedback on issues of data integrity
  • Share knowledge by clearly articulating results and ideas to customers, managers, and key decision makers
  • Patent and publish relevant IP and scientific research
  • Fulltime
Read More
Arrow Right

Software Engineer II, AI

The Customer Experience AI (CxAI) group within Dynamics 365 is pioneering next-g...
Location
Location
United States , Redmond
Salary
Salary:
100600.00 - 199000.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
  • 3+ years of experience designing, building, and maintaining production services and web applications
  • 2+ years of hands‑on experience developing features using conversational AI technologies, including natural language processing (NLP) and speech systems
  • 2+ years of experience working with large language models (LLMs) and retrieval‑augmented generation (RAG) architectures, including applying Responsible AI principles within established frameworks
  • Experience building and shipping AIpowered features endtoend in production environments
  • Familiarity with cloudbased AI systems, including deploying and operating services on Azure
  • Experience with model integration patterns such as prompt engineering, tool/function calling, and evaluation of LLMbased systems
  • Working knowledge of search, retrieval, or vector databases used in RAGbased solutions
  • Experience applying Responsible AI practices, including model evaluation, mitigations, and safe deployment considerations
  • Ability to collaborate effectively with crossfunctional partners (e.g., product, applied science, design) to deliver customerfacing AI features
Job Responsibility
Job Responsibility
  • Design, develop, and deploy AI/ML models for customer interaction scenarios including chatbots, voice agents, and sentiment analysis
  • Integrate LLMs, Retrieval-Augmented Generation (RAG), and advanced analytics into customer service workflows
  • Collaborate with data scientists, AI researchers, and engineering teams to deliver innovative solutions
  • Ensure high reliability, scalability, and adherence to responsible AI practices
  • Monitor and improve model performance and customer outcomes
  • Troubleshoot live site issues and optimize AI-driven workflows
  • Work closely with Program Managers and cross-functional teams to deliver customer-centric features
  • Fulltime
Read More
Arrow Right

Data & Applied Scientist II

Are you a skilled Data Scientist with a passion for AI? Would you like to build ...
Location
Location
Ireland , Dublin
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Do you have a degree (Bachelor’s, Master’s, or Doctorate) in a relevant quantitative field, or equivalent experience, along with the required level of data science experience?
  • Extensive experience with coding in SQL and R/Python/Spark to implement statistical models, machine learning, and analysis on big data
  • Deep knowledge of LLM/GPT fundamentals, and experience with prompt engineering, evaluation of LLM output, and agents
  • Outstanding written and oral communication, exemplified through experience in collaborative problem-solving, and presenting findings to technical and non-technical audiences
  • Extensive experience translating research or business problems into analytical, machine learning, and AI‑driven solutions
  • 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.
Job Responsibility
Job Responsibility
  • Collaborate with cross‑functional partners to understand customer and product goals and contribute to growth in Microsoft 365 Copilot through the application of best practices in data science.
  • Translate business and customer problems into analytical, machine learning, causal modeling, and AI‑driven solutions by selecting and applying appropriate methodologies in Python and SQL.
  • Design, execute, and analyse A/B experiments by forming hypotheses, building scorecards, calculating new metrics, and interpreting results to inform product decisions.
  • Write efficient, readable, and maintainable production‑quality code and collaborate with engineering partners to integrate data models and analyses into Azure‑based systems.
  • Engage in AI research and development activities involving LLM fundamentals, prompt engineering, evaluation of LLM output, agents, and construction of LLM powered applications.
  • Evaluate model and analysis performance against business objectives by testing on real or production data, incorporating stakeholder feedback, and contributing to reviews of assumptions, risks, and limitations.
  • Learn and apply current data science, AI, privacy, security, and compliance best practices
  • engage with internal research and senior peers to share knowledge and contribute to scalable, responsible data‑driven solutions across Microsoft.
  • Fulltime
Read More
Arrow Right