CrawlJobs Logo

Applied Scientist 2

China, Beijing · Job Posted March 19, 2026
Apply Position
Job Link Share

Job Description

Microsoft AI Organization aims to the best user experience for Web Search, Advertisement, Cloud, and Enterprise services. The Search Experience Group in Microsoft AI has more than 400 scientists and engineers, working on various NLP/Multi-modal techniques and applications. We're looking for passionate and experienced engineers and scientists to help us on our mission of employing deep learning to understand all the data on the web - the largest store of information in human history. With this understanding we power end-user experiences across a variety of NLP/Multi-modal related areas, especially RAG System. Generative answers. Build up the world-class AI systems with novel NLP techniques and engineering excellence. Explore cutting-edge AI technology and deliver both research and production impact.

Job Responsibility

  • Drive core technologies and E2E production delivery by leveraging State-of-Art AI technologies
  • Address challenges in products through Deep Learning and Reinforcement Learning approaches and transfer novel ideas to production applications
  • Development of deep learning models for Microsoft AI scenarios, including generative search and answers, knowledge experience, et al
  • Pushing the envelope on deep learning by: Defining problems and establishing metrics
  • Gathering training data at scale
  • Exploring model design and architecture
  • Exploring learning objectives and tasks

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
  • Experiences in applying deep learning, advanced AI solution, RAG techniques and drive E2E AI product development
  • Minimum 2 years of experience in NLP/search related areas
  • Passionate and self-motivated
  • Good communication skills, both verbal and written

Nice to have

  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ 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 3+ years related experience (e.g., statistics, predictive analytics, research)
  • 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)
  • OR equivalent experience
  • Good experience in advanced AI solution post-train, finetuning
  • Experience in RAG system
  • Solid problem-solving skills, and ability to work independently

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Applied Scientist 2

8 matching positions

Applied Scientist 2

The R&D of Search Ads aims to build an online advertising ecosystem of users, ad...
Location
Location
China , Beijing
Salary
Salary:
Not provided
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
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
  • This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Job Responsibility
Job Responsibility
  • Design and optimize recall algorithms for ad retrieval in conversational AI contexts, focusing on relevance, diversity, and commercial intent alignment
  • Develop intent understanding models including intent classification, detection, and explaination
  • Train, evaluate, and iterate on machine learning models for production-quality performance using A/B testing, offline evaluation, and quality metrics
  • Implement model distillation and optimization techniques to balance quality, latency, and capacity requirements
  • Collaborate with cross-functional teams to translate business requirements into technical solutions and contribute to measurement frameworks
  • Fulltime
Read More
Arrow Right

Applied Scientist 2

Join an innovative team that delivers core Copilot Shared Services for our flags...
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
  • 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
  • Microsoft Cloud Background Check
Job Responsibility
Job Responsibility
  • Define, lead, and implement advanced, repeatable evaluation for the next generation of model generated suggested user actions
  • Conduct research projects and workstreams that directly benefit our customers, drive positive usage, and improve Microsoft’s core productivity products
  • Lead advanced prompt engineering, selecting and fine-tuning LLMs, design and manage evaluation datasets, develop concepts for more efficient and accurate solutions, and researching and assessing different architectures and approaches from across the M365 ecosystem
  • Collaborate and coordinate with people in a range of roles, including researchers, engineers, product managers, designers, and product leaders and other key product stakeholders
  • Generate ML / AI based models that can be shipped to customers to improve their experience and used internally to generate data insights to shape the features and products we ship to customers
  • Teach, guide, and tutor colleagues without research backgrounds in state-of-the-art techniques and research best practices
  • Many of the things you will try should lead to unexpected outcomes. You must be comfortable learning from experience, developing new hypotheses, and iterating
  • Sharing project outcomes and insights with others via a range of means, including publication, to enable others to build on your work and to contribute to the understanding of our products as cutting-edge and science driven
  • Fulltime
Read More
Arrow Right

Applied Scientist 2

Are you passionate about building cutting-edge AI technologies at Microsoft? Do ...
Location
Location
China , Beijing
Salary
Salary:
Not provided
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
  • Ability to meet Microsoft, customer and/or government security screening requirements
  • Microsoft Cloud Background Check
Job Responsibility
Job Responsibility
  • Expertise in Deep Learning, especially Natural Language Processing (NLP) that power Bing search
  • Influence architecture and design decisions across teams, driving best practices and common patterns
  • Collaborate effectively with multiple teams, demonstrating solid partnership and communication skills
  • Fulltime
Read More
Arrow Right

Applied scientist 2

Are you passionate about shaping the future applications of AI and empowering mi...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
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
  • At least 2+ years of experience in predictive analytics, statistics, or research
  • Experience with synthetic data generation and data management for evaluation/training
  • At least one year of experience publishing patents or peer-reviewed papers
  • Proficiency in English and cross-functional collaboration
  • Deep motivation for user-centric AI and interest in human cognition, memory, and AI
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
Job Responsibility
Job Responsibility
  • Work within and across teams to solve complex technical challenges
  • Develop best practices around integration of state-of-the-art AI models to build product capabilities and AI features
  • Write production-quality code, apply debugging best practices, and stay current with industry trends
  • Defining, leading, and helping to conduct research projects that simultaneously advance the state-of-the-art and directly benefit Microsoft’s core productivity products
  • Shape product direction by integrating rigorous scientific methods into the product lifecycle
  • Collaborating and coordinating with people in a range of roles, including researchers, engineers, product managers, designers, and other key product stakeholders
  • Serving as a bridge between research and product
  • Teaching, guiding, and tutoring colleagues without research backgrounds in state-of-the-art techniques and research best practices
  • Sharing your research with others via a range of means, including publication, to enable others to build on your work and to contribute to the understanding of our products as cutting-edge and science driven
  • Effectively communicating with product leaders (and often Microsoft researchers (MSR)) throughout the planning and execution of applied research projects, which often involves learning and teaching complex concepts
  • Fulltime
Read More
Arrow Right

Applied Scientist 2

We’re building the next-generation Grounding Service that powers the latest AI a...
Location
Location
China , Beijing
Salary
Salary:
Not provided
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.
  • Minimum of 2 years of hands-on experience designing and building search, retrieval, or ranking systems.
  • Proven track record of shipping LLM-powered or Retrieval-Augmented Generation (RAG) systems into production environments.
  • Solid coding skills and solid foundation in machine learning, with the ability to implement and optimize models effectively.
  • Demonstrated ability to lead through ambiguity, make principled trade-offs, and deliver measurable impact in cross-functional, fast-paced settings.
Job Responsibility
Job Responsibility
  • Owns the science roadmap for grounding—including retrieval, re-ranking, attribution, and reasoning—driving initiatives from problem framing to production impact. Designs and evolves state-of-the-art retrieval and RAG orchestration across documents, tables, code, and images.
  • Builds citation and provenance systems (e.g., passage highlighting, quote-level alignment, confidence scoring) to reduce hallucinations and increase user trust. Leads experimentation and evaluation using A/B testing, interleaving, NDCG, MRR, precision/recall, and calibration curves to guide measurable trade-offs.
  • Advances tool-augmented grounding through schema-aware retrieval, function calling, knowledge graph joins, and real-time connectors to databases, cloud object stores, search indexes, and the web. Partners with platform engineering to productionize models with scalable inference, embedding services, feature stores, caching, and privacy-compliant multi-tenant systems.
  • Nurtures collaborative relationships with product and business leaders across Microsoft, influencing strategic decisions and driving business impact through technology. Authors white papers, contributes to internal tools and services, and may publish research to generate intellectual property.
  • Bridges the gap between researchers (e.g., Microsoft Research) and development teams, applying long-term research to solve immediate product needs. Leads high-stakes negotiations to ensure cutting-edge technologies are applied practically and effectively.
  • Identifies and solves significant business problems using novel, scalable, and data-driven solutions. Shapes the direction of Microsoft and the broader industry through pioneering product and tooling work.
  • Mentors applied scientists and data scientists, establishing best practices in experimentation, error analysis, and incident review. Collaborates cross-functionally with PMs, research, infrastructure, and security teams to align on milestones, SLAs, and safety protocols.
  • Communicates clearly through design documentation, progress updates, and presentations to executives and customers. Contributes to ethics and privacy policies, identifies bias in product development, and proposes mitigation strategies.
  • 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 Scientist 2 - Video Search

We are looking for an Applied Scientist to join our Video Search team, where you...
Location
Location
China , Beijing
Salary
Salary:
Not provided
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+ year of experience contributing to publications (peer-reviewed papers, patents, or equivalent)
  • Hands-on experience with video or multimodal ML systems (e.g., video-text retrieval, video captioning, temporal grounding, or visual search)
  • Familiarity with large-scale training frameworks (PyTorch, tensorflow) and experience working with web-scale data pipelines
  • Experience with search or ranking systems, including offline evaluation (NDCG, MRR) and online experimentation (A/B testing)
Job Responsibility
Job Responsibility
  • Design, develop, and evaluate machine learning models for video search, including video-text retrieval, multimodal ranking, query understanding, and relevance scoring
  • Collaborate with product and engineering teams to translate research findings into measurable improvements in search quality, latency, and user engagement
  • Partner with researchers in the broader community and Microsoft internally to identify and apply state-of-the-art methods in computer vision, NLP, and multimodal learning
  • Conduct rigorous experiments — define metrics, run A/B tests, analyze results, and communicate findings clearly to both technical and non-technical stakeholders
  • Stay current with advances in video understanding, dense retrieval, vision-language models, and related fields
  • assess their applicability to product problems
  • Document research processes, experimental results, and model decisions to support reproducibility and team knowledge sharing
  • Adhere to Microsoft's ethics and privacy policies throughout data collection, model development, and deployment processes
  • Contribute to a positive, inclusive team environment and, when asked, help identify prospective talent through your external research network
  • Fulltime
Read More
Arrow Right