CrawlJobs Logo
Microsoft Corporation Logo Microsoft Corporation · IT - Software Development

Principle Applied Scientist

China, Beijing · Job Posted February 18, 2026
Apply Position
Job Link Share

Job Description

In Feeds and AI team, we’re building Microsoft Copilot Discover, a content powerhouse for every person on the planet to be informed, entertained, and inspired. Microsoft Start is the place for all to read, watch, listen, create, connect with people of shared interests, and experience wonders in the world. We are looking for a skilled and experienced Senior Applied Scientist to join our ranking foundation team. As a Senior Applied Scientist focusing on recommender systems, you will play an important role in contributing to the development and optimization of our online services and offline pipelines within our content ecosystem to achieve product and business growth goals.

Job Responsibility

  • Algorithm Development and Enhancement for ranking algorithms in News & Feeds
  • Work with cross-functional teams to design, develop, and implement recommendation algorithms to deliver product features and drive user engagement
  • Optimize existing recommendation algorithms by analyzing performance metrics and user feedback, incorporating advanced machine learning techniques including generative AI techniques
  • Innovation in the area of NLP, advanced AI solution, and recommender system
  • Perform data analysis to identify patterns, trends, and opportunities to improve the relevance and quality of our recommendation systems
  • Build systemic solutions and models to optimize user experience

Requirements

  • 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) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience OR equivalent experience
  • 3 years of work experience in recommender systems, search engine, or online advertising, with rich experience on machine learning algorithms, generative AI / advanced AI solution, statistics, data mining techniques, and their application on personalization
  • Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment
  • Strong communication and teamwork skills, with the ability to effectively present and explain technical concepts to diverse audiences
  • Strong programming skills in Python and experience with other programming languages like C#, C++ is a plus

Nice to have

  • Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience OR equivalent experience
  • 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers)
  • 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker
  • 5+ years experience conducting research as part of a research program (in academic or industry settings)
  • 3+ years experience developing and deploying live production systems, as part of a product team
  • 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping
Microsoft Corporation - All Job Offers

Looking for more opportunities?

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

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Principle Applied Scientist

8 matching positions

Principal Applied Scientist

As a Principal or Senior Applied Scientist at Zalando Lounge, you will foster da...
Location
Location
Germany , Berlin
Salary
Salary:
Not provided
zalando.se Logo
Zalando Sverige
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • You hold a Ph.D. in Economics with an emphasis on quantitative research methods, alongside at least two years of post-Ph.D. experience.
  • You possess deep expertise in experimentation and quasi-experimental research methods, such as Double Machine Learning (DML) and difference-in-differences.
  • You demonstrate strong general scientific problem-solving skills and the ability to communicate analytical insights clearly to both technical and non-technical audiences.
  • You are proficient in Python and SQL, with experience using Machine Learning methods, frameworks (scikit-learn, PyTorch), Jupyter Notebooks, Airflow, Data Build Tool (DBT), PySpark, Databricks, and Git.
  • You have experience with the estimation of heterogeneous effects, such as causal forests.
  • You regularly use AI-based analytical tools and maintain a mindset of constant exploration regarding new developments in this field.
Job Responsibility
Job Responsibility
  • Design experimentation frameworks in new areas, focusing on key performance indicators (KPIs), units of randomization, statistical power analysis, and variance reduction.
  • Design and carry out experiments in complex cases, such as when straightforward designs would generate substantial Stable Unit Treatment Value Assumption (SUTVA) violations or when the relationship between short-term and long-term effects is non-trivial.
  • Apply quasi-experimental methods to observational data, establishing indications of causal relationships to inform product development and further experimentation.
  • Use economic modelling and first-principle reasoning to guide business decisions.
  • Provide egoless, constructive scientific feedback to peers and coach junior colleagues.
  • Set broad scientific roadmaps across the division and bring a significant industry track record alongside scientific leadership experience (required for candidates considered at the Principal level).
What we offer
What we offer
  • 27 days of holiday a year to start for full-time employees (+1 day for every calendar year up to 30 days)
  • 2 paid volunteering days a year
  • Hybrid working model with up to 60% remote per week, actual practice is up to each team to best support their collaboration
  • Work from abroad for up to 30 working days a year
  • Employee shares program
  • 40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
  • Relocation assistance available (subject to prior agreement)
  • Family services, including counseling and support
  • Health and wellbeing options (including Wellhub, formerly Gympass)
  • Mental health support and coaching available
  • Fulltime
Read More
Arrow Right

Principal Applied Scientist

As a Principal or Senior Applied Scientist at Zalando Lounge, you will foster da...
Location
Location
Germany , Berlin
Salary
Salary:
Not provided
zalando-lounge.de Logo
Zalando Lounge
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • You hold a Ph.D. in Economics with an emphasis on quantitative research methods, alongside at least two years of post-Ph.D. experience
  • You possess deep expertise in experimentation and quasi-experimental research methods, such as Double Machine Learning (DML) and difference-in-differences
  • You demonstrate strong general scientific problem-solving skills and the ability to communicate analytical insights clearly to both technical and non-technical audiences
  • You are proficient in Python and SQL, with experience using Machine Learning methods, frameworks (scikit-learn, PyTorch), Jupyter Notebooks, Airflow, Data Build Tool (DBT), PySpark, Databricks, and Git
  • You have experience with the estimation of heterogeneous effects, such as causal forests
  • You regularly use AI-based analytical tools and maintain a mindset of constant exploration regarding new developments in this field
  • Provide egoless, constructive scientific feedback to peers and coach junior colleagues
  • Set broad scientific roadmaps across the division and bring a significant industry track record alongside scientific leadership experience (required for candidates considered at the Principal level)
Job Responsibility
Job Responsibility
  • Design experimentation frameworks in new areas, focusing on key performance indicators (KPIs), units of randomization, statistical power analysis, and variance reduction
  • Design and carry out experiments in complex cases, such as when straightforward designs would generate substantial Stable Unit Treatment Value Assumption (SUTVA) violations or when the relationship between short-term and long-term effects is non-trivial
  • Apply quasi-experimental methods to observational data, establishing indications of causal relationships to inform product development and further experimentation
  • Use economic modelling and first-principle reasoning to guide business decisions
  • Provide egoless, constructive scientific feedback to peers and coach junior colleagues
  • Set broad scientific roadmaps across the division and bring a significant industry track record alongside scientific leadership experience (required for candidates considered at the Principal level)
What we offer
What we offer
  • 27 days of holiday a year to start for full-time employees (+1 day for every calendar year up to 30 days)
  • 2 paid volunteering days a year
  • Hybrid working model with up to 60% remote per week, actual practice is up to each team to best support their collaboration
  • Work from abroad for up to 30 working days a year
  • Employee shares program
  • 40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
  • Relocation assistance available (subject to prior agreement)
  • Family services, including counseling and support
  • Health and wellbeing options (including Wellhub, formerly Gympass)
  • Mental health support and coaching available
  • Fulltime
Read More
Arrow Right

Applied Scientist II, Safety

We are looking for an Applied Scientist to join the Safety Science Team. At Uber...
Location
Location
United States , San Francisco
Salary
Salary:
161000.00 - 179000.00 USD / Year
uber.com Logo
Uber
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Ph.D., M.S. or Bachelor's degree in Computer Science, Statistics, Mathematics, Operations Research, or a related quantitative field, OR equivalent experience
  • 3+ years (with Ph.D.) or 5+ years (with M.S. or B.S.) of industry experience building and deploying machine learning models or conducting high-impact applied data science in a large-scale production environment
  • Expert proficiency in core machine learning principles, including classification, regression, time series analysis, and causal inference
  • High proficiency in at least one programming language (e.g., Python or Scala) and expertise in data manipulation using SQL
Job Responsibility
Job Responsibility
  • Design, develop, and deliver sophisticated applied ML models from ideation to production, ensuring robustness and measurable safety impact
  • Conduct complex, rigorous deep-dive analyses and causal inference to uncover root causes and identify high-leverage safety opportunities
  • Own the design, analysis, and interpretation of A/B experiments to rigorously evaluate product and policy changes before platform rollout
What we offer
What we offer
  • Bonus program
  • Equity award
  • 401(k) plan
  • Fulltime
Read More
Arrow Right

Senior Applied Scientist (Bing Places)

Do you have a keen interest in leveraging cutting-edge AI technologies to solve ...
Location
Location
United States , Redmond
Salary
Salary:
119800.00 - 234700.00 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 4+ 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.
Job Responsibility
Job Responsibility
  • Develop and deploy solutions leveraging LLMs, SLMs, and RAG models to solve complex data challenges and enhance the Bing Places platform
  • Stay informed about the latest advancements in AI/ML research, evaluate their applicability, and integrate them into scalable systems
  • Collaborate across multidisciplinary teams, including engineers, data scientists, and product managers, to translate research insights into actionable solutions
  • Create robust pipelines for data processing, training, and inferencing to optimize model performance and scalability
  • Mentor junior team members, foster knowledge sharing, and support recruiting efforts to build a world-class research team
  • Uphold ethical principles in AI, ensuring solutions are fair, unbiased, and aligned with Microsoft's privacy standards.
  • Fulltime
Read More
Arrow Right

Senior Applied Scientist

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 4+ 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
  • Demonstrated expertise in information retrieval, with publications in top-tier conferences or journals such as NeurIPS, ICML, ICLR, SIGIR, or ACL
  • Hands-on experience in Advanced AI Technology development, including pretraining, supervised fine-tuning (SFT), and reinforcement learning (RL)
  • Proven track record in optimizing LLM inference, or active contributions to open-source frameworks like vLLM, SGLang, or related projects
  • Minimum of 4 years of hands-on experience designing and building search, retrieval, or ranking systems
  • Proven track record of shipping 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

Principal Applied Scientist - Catalog/Search Ranking

The Ranking team at Zalando assists customers in their fashion discovery journey...
Location
Location
Germany , Berlin
Salary
Salary:
Not provided
zalando.de Logo
Zalando
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • PhD in Machine Learning, Control Theory, Operations Research, or related fields (or equivalent experience), accompanied by 8+ years of industry experience, especially in deep reinforcement learning, multi-armed bandits, or large-scale sequential decision-making systems, ideally applied to content selection, personalization, or ranking in feed-based products
  • Experience shaping the scientific roadmap of teams in products that span across multiple areas and working with senior Applied Science leaders
  • Ability to discover new business opportunities collaborating with product, science, and engineering managers and solve business problems through scientific solutions
  • Extensive track record of addressing real-world problems using machine learning throughout the entire product cycle, and raises department and Zalando’s best practice in methods, algorithms and technology, including architecture, design patterns, and research roadmaps
  • Authority on deep learning and extensive track record in leveraging research to advance the state of the art, including a publication records
  • Extensive hands-on experience in deep learning with proficiency in Python and frameworks like PyTorch or TensorFlow for RL implementations
  • Proficiency in cloud computing platforms such as AWS is also required
Job Responsibility
Job Responsibility
  • Utilise your extensive scientific experience in researching, deploying, and architecting machine learning and deep learning solutions, particularly in Deep Learning, Transformer-Based Models, Multi-objective optimisation models and Reinforcement learning to enhance the conversion journey of millions of our customers through product selection and ranking
  • Collaborate with multiple teams to create a cutting-edge science stack that aligns with the product strategy and drive architectural and design principles
  • Develop long-term roadmaps for research topics that address concrete business goals
  • As part of the leadership team, be the sparring partner and trusted advisor for Zalando senior leadership and advise on investments in strategic direction and make or buy decisions
  • Act as a mentor and guide to senior scientists, and actively share knowledge and expertise within Zalando’s science community
  • Forge close partnerships with applied science leaders and product managers, to deliver state-of-the-art machine learning solutions to our customers and uncover new opportunities for growth
  • This includes driving and delivering delivery projects with high uncertainty in production, applying the scientific approach to solve complex challenges, and communicating and aligning with other teams, stakeholders, and senior leadership
  • You will support and work on deploying, developing, implementing, testing, and researching ML models for personalisation, ranking, recommendations for our Search and Catalog Experience
What we offer
What we offer
  • 27 days of holiday a year to start for full-time employees (+1 day for every calendar year up to 30 days)
  • 2 paid volunteering days a year
  • Hybrid working model with up to 60% remote per week, actual practice is up to each team to best support their collaboration
  • Work from abroad for up to 30 working days a year
  • Employee shares program
  • 40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
  • Relocation assistance available (subject to prior agreement)
  • Family services, including counseling and support
  • Health and wellbeing options (including Wellhub, formerly Gympass)
  • Mental health support and coaching available
  • Fulltime
Read More
Arrow Right

Data Scientist – Applied AI & Agent Systems Specialist

✨ About This Role: Design, build, and deploy AI-powered agents and automation sy...
Location
Location
Salary
Salary:
Not provided
hiremoters.ai Logo
HiRemoters
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Business Administration, Operations Management, Public Policy, International Development, or a related field
  • Strong proficiency in Python (production-level coding skills)
  • Minimum 5 years experience in applied AI, machine learning engineering, or AI-driven software development
  • Experience working with LLM APIs (OpenAI, Azure OpenAI, or equivalent)
  • Understanding of agentic architectures (tool use, memory, multi-step orchestration)
  • Experience with API integration and RESTful services
  • Familiarity with vector databases and embedding workflows
  • Knowledge of software version control (Git)
  • Experience with workflow automation/orchestration tools (n8n, LangChain, or equivalent frameworks)
  • Understanding of testing, logging, monitoring, and production deployment principles
Job Responsibility
Job Responsibility
  • Design, build, and deploy AI-powered agents and automation systems that enhance the operational intelligence, decision-making, and workflow efficiency
  • Act as the primary Applied AI Engineer within the Smart Systems & Operational Enablement department, translating business challenges into production-ready AI and agentic solutions
  • Develop software-driven AI capabilities that integrate securely and reliably into enterprise systems
  • Design and build AI agents using LLM APIs (e.g., Azure OpenAI, OpenAI or equivalent)
  • Develop multi-step orchestration workflows integrating AI models with internal systems and APIs
  • Implement agent memory systems (vector databases, embeddings, contextual retrieval)
  • Build and maintain AI-enabled automation using tools such as Python frameworks, n8n, or equivalent orchestration platforms
  • Develop evaluation frameworks to measure agent performance, accuracy, reliability, and drift
  • Deploy AI solutions in production environments following enterprise architecture standards
  • Collaborate with Systems Integration to embed agents within CRM/ERP and operational workflows
What we offer
What we offer
  • Flexible and Remote Working
  • Career Growth
  • Performance Recognition
  • Health and Fitness Benefits
  • Extra Paid Annual Leave
  • Special Birthday Perk
  • Fulltime
Read More
Arrow Right

Senior Applied Scientist

Security represents the most critical priorities for our customers in a world aw...
Location
Location
United States , Redmond
Salary
Salary:
119800.00 - 234700.00 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 4+ 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
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
  • 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
  • Conduct cutting-edge research that builds towards transformative defensive security capabilities with demonstrated scientific rigor
  • Champion innovative principles and forward-looking concepts guided by research trends in academia, OSS and industry
  • Form strategic partnerships with thought leaders across the company, in the industry and across domains
  • Work with defenders, threat hunters, PMs, and engineers to turn research into effective solutions that improve our ability to protect ourselves
  • Share research findings and innovations through open-source releases, blog posts, patents, and industry conferences
  • Participate in partnerships with academia and industry to advance the state of the art in the field
  • Embody our culture and values
  • Fulltime
Read More
Arrow Right