Principle Applied Scientist Job at Microsoft Corporation (Beijing)

Applied Scientist 2

We’re building the next-generation Grounding Service that powers the latest AI a...

Location

China , Beijing

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

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

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

Senior Research Scientist, Intelligent Talent Acquisition - Lead Generation & Detection Services

Do you want a role with deep meaning and the ability to make a major impact? As ...

Location

United Kingdom , Edinburgh

Salary:

Not provided

Amazon Pforzheim GmbH

Expiration Date

Until further notice

Requirements

Master's degree, or a PhD and experience in quantitative field research
Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
5+ years of experience in applied selection research, job analysis, test development, and validation
Foundational skills in conducting experimental research studies and data analysis
Proficiency in scripting for data analysis (e.g., R, Python)

Job Responsibility

Partner on design and development of AI-powered systems to scale job analyses enterprise-wide
Match potential candidates to the jobs they’ll be most successful in
Conduct validation research for top-of-funnel AI-based evaluation tools
Develop and implement novel research strategies using the latest technology
Build solutions while experiencing Amazon’s customer-focused culture
Work with diverse groups of people and inter-disciplinary cross-functional teams to solve complex business problems

New

Data Scientist

We are seeking a versatile and proactive Data Scientist to join our dynamic team...

Location

India , Pune

Salary:

Not provided

Jash Data Sciences

Expiration Date

Until further notice

Requirements

Strong Python programming skills with hands-on project experience
Expertise in Machine Learning and Deep Learning algorithms (Random Forests, GBMs, Neural Networks, CNNs, RNNs, Transformers, Ensemble methods)
Proficiency in TensorFlow or PyTorch, along with scikit-learn and pandas
Familiarity with modern ML techniques: Transfer Learning, Few-shot Learning, Self-supervised Learning
Experience with NLP, Computer Vision, or Time Series Analysis
Hands-on experience with LLM providers (OpenAI, Anthropic Claude, Google Gemini, or open-source models)
Proficiency with GenAI orchestration frameworks (LangChain, LangGraph, LlamaIndex, or DSPy)
Experience building RAG applications with vector databases (Pinecone, Weaviate, Chroma, FAISS)
Strong prompt engineering skills and understanding of prompt optimization techniques
Knowledge of fine-tuning techniques (LoRA, QLoRA) and when to apply them

Job Responsibility

Deliver end-to-end data science projects by applying Machine Learning and Deep Learning fundamentals to solve complex problems
Derive actionable insights for a variety of problems, industries, and domains using statistical analysis and advanced data science techniques
Develop high-quality software solutions with Python and other programming languages. Collaborate with developers to understand and improve existing code or create new solutions
Build and deploy production-ready LLM applications using modern frameworks and best practices
Design and implement RAG (Retrieval-Augmented Generation) architectures using vector databases and embedding models
Perform prompt engineering and optimization to maximize LLM performance for specific use cases
Implement agentic AI systems and multi-agent workflows for complex automation tasks
Evaluate and benchmark LLM outputs using appropriate metrics and testing frameworks
Build sophisticated data pipelines for large-scale data processing using modern orchestration tools
Optimize database performance and create efficient SQL queries

What we offer

Competitive salary commensurate with experience
Opportunity to work on diverse, cutting-edge AI/ML projects
Collaborative and innovation-driven work environment
Rapid growth and continuous learning opportunities
Exposure to latest AI technologies and industry best practices

AI Applied Scientist

Figma is growing our team of passionate creatives and builders on a mission to m...

Location

United States , San Francisco; New York

Salary:

149000.00 - 350000.00 USD / Year

Figma

Expiration Date

Until further notice

Requirements

Extensive experience in building generative AI features through prompt engineering, and fine tuning models in production environments
Experience working on deep learning and generative AI frameworks like PyTorch, JAX, HuggingFace etc
Experience training LLMs with Reinforcement Learning techniques such as preference-based RL (DPO, PPO) and/or RL with verifiable rewards (RLVR) such as GRPO/DAPO
4+ years in Generative AI, and 6+ years of experience in one or more of the following areas: machine learning, natural language processing/understanding, computer vision
Strong software engineering skills with 5+ years of experience in programming languages (Python, C++, Java or R)
Experience communicating and working across functions to drive solutions

Job Responsibility

Driving fundamental and applied research in AI
Combining industry best practices and a first-principles approach to build cutting edge Generative AI models, using techniques like Supervised Finetuning (SFT), Reinforcement Learning (RL), prompt improvements and synthetic data generation
Work in concert with product and infrastructure engineers to improve Figma’s products through AI powered features
Collaborate closely with product managers and engineers to transform user feedback into requirements for AI systems
Build evaluation systems to measure and improve quality of AI features in Figma products

What we offer

Equity
Health, dental & vision
Retirement with company contribution
Parental leave & reproductive or family planning support
Mental health & wellness benefits
Generous PTO
Company recharge days
Learning & development stipend
Work from home stipend
Cell phone reimbursement

Fulltime

New

Lead Applied Scientist Security Models Training Team

The Security Models Training team is expanding to drive the development of a new...

Location

Israel , Tel Aviv, Herzliya

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

M.Sc. / Ph.D. in Computer Science, Information Systems, Electrical or Computer Engineering or Data Science (Ph.D. strongly preferred)
Candidates with M.Sc. / Ph.D. in related fields with proven industry experience or a strong publication record in the areas of LLM, Information Retrieval, Machine Learning, Natural Language Processing, Time Series Forecasting and Deep Learning are considered as well
Proven hands-on experience of at least 8 years (including post-grad work) in building and deploying Machine Learning products
Key areas of expertise include Natural Language Processing and Large Language Models, along with an understanding of concepts such as Privacy and Responsible AI
Candidates are expected to demonstrate a strong history of successfully translating applied research into production-ready solutions, along with a proven track record of delivering projects within large-scale production environments
Demonstrated ability to set long‑term technical strategy, align multiple teams, and serve as a technical decision‑maker for high‑risk, high‑impact investments
Proven expertise in the LLM and/or time-series forecasting domain, demonstrating comprehensive knowledge of relevant concepts in the domain
Ideal applicants should be proficient in areas such as LLM’s pre and post training, including CPT, SFT and RL, LLM benchmarking, agentic flows, and model alignment
Hands-on experience in building neural model architectures at the 100M+ scale and the proficiency to adapt them at all abstraction levels down the individual block (e.g. changing the innerworkings of an attention block, introducing new blocks, or changing the routings)
Demonstrated proficiency in problem-solving and data analysis, with substantial expertise in evaluating the performance of large language models (LLMs) and/or time-series forecasting models, developing benchmarks tailored to practical scenarios

Job Responsibility

Technical Leadership & Ownership: set technical direction for major security domain initiatives and align roadmaps across multiple teams
lead security model programs spanning pre‑training, task tuning, reinforcement learning, and evaluation
translate cutting‑edge research into production‑ready capabilities
This role influences portfolio‑level technical tradeoffs, investment prioritization, and long‑term architecture decisions for security models
Advanced Model Design – Building and customizing deep learning model architectures (e.g., modifying transformer blocks, attention/memory modules, etc.) at the SLM/LLM scale
making principled architectural tradeoffs to improve reliability, robustness, and security‑specific behavior
Advanced Model Training – Apply deep expertise in pre-training, post-training, and reinforcement learning (RL) for both language and other modalities, including time-series
Design & Evaluate Datasets – Build high-quality datasets and benchmarks
define objective evaluation frameworks and quality gates
run ablation studies to measure impact and optimize data and training effectiveness to support confident product decisions

Fulltime

New

Principal/Senior Applied Scientist Security Models Training Team - Next-Gen frontier research

The Security Models Training team is expanding to drive the development of a new...

Location

Israel , Tel Aviv, Herzliya

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

M.Sc. / Ph.D. in Computer Science, Information Systems, Electrical or Computer Engineering or Data Science (Ph.D. strongly preferred)
Candidates with M.Sc. / Ph.D. in related fields with proven industry experience or a strong publication record in the areas of LLM, Information Retrieval, Machine Learning, Natural Language Processing, Time Series Forecasting and Deep Learning are considered as well
Proven hands-on experience of at least 5 years (including post-grad work) in building and deploying Machine Learning products
Key areas of expertise include Natural Language Processing and Large Language Models, along with an understanding of concepts such as Privacy and Responsible AI
Candidates are expected to demonstrate a strong history of successfully translating applied research into production-ready solutions, along with a proven track record of delivering projects within large-scale production environments
Proven expertise in the LLM and/or time-series forecasting domain, demonstrating comprehensive knowledge of relevant concepts in the domain
Ideal applicants should be proficient in areas such as LLM’s pre and post training, including CPT, SFT and RL, LLM benchmarking, agentic flows, and model alignment
Hands-on experience in building neural model architectures at the 100M+ scale and the proficiency to adapt them at all abstraction levels down the individual block (e.g. changing the innerworkings of an attention block, introducing new blocks, or changing the routings)
Demonstrated proficiency in problem-solving and data analysis, with substantial expertise in evaluating the performance of large language models (LLMs) and/or time-series forecasting models, developing benchmarks tailored to practical scenarios

Job Responsibility

Technical Leadership & Ownership: set technical direction for major security domain initiatives
lead security model programs spanning pre‑training, task tuning, reinforcement learning, and evaluation
translate cutting‑edge research into production‑ready capabilities
Advanced Model Design – Building and customizing deep learning model architectures (e.g., modifying transformer blocks, attention/memory modules, etc.) at the SLM/LLM scale
making principled architectural tradeoffs to improve reliability, robustness, and security‑specific behavior
Advanced Model Training – Apply deep expertise in pre-training, post-training, and reinforcement learning (RL) for both language and other modalities, including time-series
Design & Evaluate Datasets – Build high-quality datasets and benchmarks
define objective evaluation frameworks and quality gates
run ablation studies to measure impact and optimize data and training effectiveness to support confident product decisions
Develop Data Infrastructure – Create and maintain scalable pipelines for ingestion, preprocessing, filtering, and annotation of large, complex datasets, with attention to privacy, governance, and long‑term reuse across security scenarios

Fulltime

R&D Scientist

An established global specialty chemicals organisation is expanding its Research...

Location

United Kingdom , Bracknell

Salary:

Not provided

Cranleigh STEM

Expiration Date

Until further notice

Requirements

BSc, MSc or PhD in Chemistry, Chemical Engineering, or Mechanical Engineering
Strong applied knowledge of chemistry and/or engineering principles in an industrial R&D environment
Proven experience leading or significantly contributing to complex technical projects
Confidence communicating technical information to both scientific and non-technical audiences
Comfortable working across functions in a matrix organisation

Job Responsibility

Designing and leading formulation, synthesis, and testing programmes to meet defined project objectives
Developing test plans, milestones, and experimental strategies through to project completion
Acting as technical or overall project lead, directing the work of other scientists where required
Interpreting complex datasets and providing clear technical recommendations to project and R&D leadership
Identifying risks and removing technical barriers to project success
Carrying out advanced analytical testing and producing detailed technical reports
Collating, interpreting, and presenting results to internal stakeholders and customers
Supporting customer discussions by explaining results and offering technical insight
Leading independent research projects and special technical studies
Maintaining high standards of lab safety, COSHH compliance, and documentation

What we offer

Competitive salary and bonus structure
Long-term career development within a global R&D organisation
Exposure to high-impact projects with real commercial application
Opportunities to represent the business externally and build technical reputation
Strong focus on learning, development, and innovation

Fulltime

Data Architect

Serve as the Data Architect for the Health Care Payer domain, responsible for de...

Location

United States , King of Prussia

Salary:

145000.00 - 155000.00 USD / Year

Beacon Hill

Expiration Date

Until further notice

Requirements

Healthcare experience is a must
Deep expertise in data architecture, database technologies, and cloud platforms (Azure, AWS, GCP)
Strong understanding of healthcare interoperability standards such as HL7, FHIR, CCDs, HIE, and USCDI/US Core
Proficiency with SQL and NoSQL databases, Python, and PySpark
Experience using data modeling tools (e.g., Erwin)
Hands-on experience with integration and data engineering tools such as Azure Data Factory, Databricks, Kafka, IBM DataStage, and Informatica
Familiarity with business intelligence and analytics platforms
Strong analytical and problem-solving abilities
Excellent communication and collaboration skills for working with cross-functional teams

Job Responsibility

Serve as the Data Architect for the Health Care Payer domain, responsible for designing, developing, and maintaining data platforms-including data warehouses and data lakes-to support secure, efficient collection, storage, and analysis of healthcare data
Partner with business and IT stakeholders to ensure the data architecture aligns with organizational needs while meeting compliance and security requirements
Lead the design and implementation of scalable, secure data systems and interoperability solutions compliant with USCDI/US Core standards
Build and maintain conceptual, logical, and physical data models across healthcare domains such as clinical, claims, member, provider, and EHR data
Assess and recommend data management technologies, frameworks, and methodologies to improve data integration and analytics capabilities
Enforce data governance practices to ensure data quality, integrity, security, and regulatory compliance, including HIPAA, GDPR, and other privacy laws
Act as an independent thought leader capable of self-direction and driving architectural decisions
Apply strong data management principles and hands-on experience with end-to-end data processing
Collaborate with analysts, data scientists, IT teams, and business leaders to understand data needs and ensure architectural alignment
Optimize data storage and retrieval to minimize latency and support real-time and historical analytics

Fulltime

Principle Applied Scientist

Microsoft Corporation

Location:
China , Beijing

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 18, 2026

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

Similar Jobs for Principle Applied Scientist

Applied Scientist 2

Senior Research Scientist, Intelligent Talent Acquisition - Lead Generation & Detection Services

Data Scientist

AI Applied Scientist

Lead Applied Scientist Security Models Training Team

Principal/Senior Applied Scientist Security Models Training Team - Next-Gen frontier research

R&D Scientist

Data Architect

Principle Applied Scientist

Microsoft Corporation

Location:China , Beijing

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:February 18, 2026

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

Similar Jobs for Principle Applied Scientist

Applied Scientist 2

Senior Research Scientist, Intelligent Talent Acquisition - Lead Generation & Detection Services

Data Scientist

AI Applied Scientist

Lead Applied Scientist Security Models Training Team

Principal/Senior Applied Scientist Security Models Training Team - Next-Gen frontier research

R&D Scientist

Data Architect

Location:
China , Beijing

Category:
IT - Software Development

Contract Type:
Not provided

Job Posted:
February 18, 2026