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

Member of Technical Staff, Applied AI Engineer

United States, Mountain View 100600.00 - 199000.00 USD / Year · Job Posted March 01, 2026
Apply Position
Job Link Share

Job Description

We’re hiring a Applied AI Engineer to join a fast‑moving, high‑ownership team building next‑generation AI assistant and productivity capabilities. This role blends LLM product engineering, evaluation science, hillclimbing, and internal tool building with the pace and creativity of a startup. You’ll work across the entire lifecycle of features from early prototypes to production‑grade systems and help define how millions of users interact with AI.

Job Responsibility

  • LLM Feature & Agent Development
  • Design and ship LLM‑powered assistant features, including conversational flows, agentic behaviors, retrieval pipelines, and multimodal interactions.
  • Build prompt architectures, system instructions, and orchestration logic that ensure reliability, grounding, and personality consistency.
  • Prototype new capabilities rapidly and iterate based on user signals and evaluation data.
  • Evaluation, Hillclimbing & Quality Systems
  • Build and maintain evaluation frameworks for correctness, safety, grounding, and UX quality.
  • Run hillclimbing loops across prompts, models, and tool‑use strategies to continuously improve assistant performance.
  • Analyze failure modes, design mitigations, and drive systematic improvements across the stack.
  • LLM Tooling & Internal Infrastructure
  • Develop internal tools for prompt experimentation, model comparison telemetry and debugging automated eval pipelines
  • Create reusable frameworks that accelerate the entire AI org’s ability to ship high‑quality assistant features.
  • Applied ML & Product Integration
  • Integrate LLMs with product surfaces, APIs, and backend systems.
  • Build lightweight ML components (ranking, classification, summarization, personalization) that enhance assistant intelligence.
  • Collaborate with PM, design, and research to turn ambiguous ideas into polished user experiences.
  • High‑Velocity Teamwork
  • Operate with startup‑founder energy: bias for action, rapid iteration, and comfort with ambiguity.
  • Work closely with researchers, engineers, and product leaders in a fast‑moving AI team where ideas ship quickly and impact is immediate.
  • Contribute to a culture of experimentation, clarity, and high‑quality execution.

Requirements

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
  • 2+ years shipping production-level code, models, or data analysis.
  • 1+ years using AI-assisted coding and analysis techniques.
  • Experience working on small teams and mid-stage startup environments.
  • Experience working on AI products.
  • PhD in engineering, applied math, statistics, or related analytical field.
  • 4+ years shipping production-level code, models, or data analysis.
  • Deep experience building from zero-to-one.
  • Hands on work hillclimbing AI evaluations.
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

Member of Technical Staff, Applied AI Engineer

8 matching positions

Member of Technical Staff - AI Engineer

Join our AI Engineering team to explore the boundaries of LLMs and AI, shaping T...
Location
Location
United Kingdom , London
Salary
Salary:
Not provided
tessl.ai Logo
Tessl
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4+ years of experience as a Software Engineer
  • Equally comfortable contributing to a mature codebase with strict CI criteria or hacking up a quick notebook to prove/disprove something
  • Proven experience collaborating with researchers and bridging between research-focused and engineering-focused teams
  • Experience with the applied use of data and statistics, likely to spot and avoid bad data when you see it
  • Deeply curious about AI and excited about its potential to transform software engineering
Job Responsibility
Job Responsibility
  • Use a bit of jq and grep to quickly navigate a dataset, but recognise when it’s time to use a more robust approach and move the team to something like dbt or duckdb
  • Tune a prompt in our generation workflow, eval the results and write an experiment report on your findings. Leave the eval tooling better than when you found it
  • Rapidly prototype a new language integration for our code generation pipeline, then develop a plan for a scalable implementation
  • Factor out a piece of our pipeline to use FaaS, unlocking 1,000x larger evals to run in nearly constant time
  • Add support for a new model in our elegant model abstraction library, or rewrite it when new model capabilities prove our existing design wrong
  • Work with our platform team on the next generation of eval facilities, based on your understanding of what researchers need and where the platform is heading
What we offer
What we offer
  • 25 days holiday
  • health insurance, including dental and vision, which extends to partners and dependents
  • company-matched pension
  • commuting stipend for those who live outside London
  • cycle to work scheme
  • Fulltime
Read More
Arrow Right

Member of Technical Staff, Applied Scientist

As Microsoft continues to push the boundaries of AI, we are on the lookout for p...
Location
Location
United States , Mountain View
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.
  • Master'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 Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
  • 3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
  • Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
  • 3+ years experience conducting research as part of a research program (in academic or industry settings).
  • 1+ year(s) experience developing and deploying live production systems, as part of a product team.
  • 1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
Job Responsibility
Job Responsibility
  • Develop and refine data pipelines and infrastructure to support AI model development for Copilot.
  • Collaborate with research teams to integrate cutting-edge AI advancements into production systems.
  • Design, train, and evaluate machine learning models, ensuring performance optimization and scalability.
  • Work closely with engineering and product teams to ensure AI-driven experiences meet quality and user experience standards.
  • Conduct rigorous data analysis and experimentation, leveraging insights to improve Copilot’s intelligence.
  • Overcome obstacles to deliver iterative improvements in AI performance and responsiveness.
  • Stay ahead of the latest innovations in deep learning, reinforcement learning, and generative AI.
Read More
Arrow Right

Member of Technical Staff, AI Data - MAI Superintelligence Team

Help build the world’s most advanced multimodal dataset at Microsoft AI. We are ...
Location
Location
United Kingdom , London
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modelling or data engineering work
  • OR equivalent experience
  • Expertise in large scale data engineering ideally applied to AI
  • Expertise in Spark, Kubernetes or similar
Job Responsibility
Job Responsibility
  • Design and develop data pipelines that ingest enormous amounts of multi-modal training data (text, audio, images, video)
  • Build and maintain cutting-edge infrastructure that can store and process the petabytes of data needed to power models
  • Partner with the pretraining and post-training teams to improve our data recipe by rigorous and careful experimentation
  • Collaborate with the product team and other engineers and researchers across Microsoft AI to identify gaps in the current generation of models
  • Embody our culture and values
  • Fulltime
Read More
Arrow Right

Member of Technical Staff, Applied Scientist

We’re seeking a Member of Technical Staff – Applied Scientist to help design and...
Location
Location
United States , Mountain View
Salary
Salary:
119800.00 - 258000.00 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
  • Experience prompting, evaluating, and working with large language models
  • Experience writing production-quality Python code
Job Responsibility
Job Responsibility
  • Architect and implement advanced Copilot features such as Deep Research and Web artifact generation
  • Lead evaluation efforts of models deployed within Copilot, ensuring performance aligns with product goals
  • Design scalable systems that leverage large language models (LLMs) to deliver intelligent, user-facing experiences
  • Develop evaluation frameworks and metrics to assess feature performance and user impact
  • Conduct thorough reviews of data analysis and techniques to identify gaps and areas for re-examination
  • Build data collection pipelines to support prompt engineering and fine-tuning of LLMs
  • Track advances in industry and academia, identify relevant state-of-the-art research, and adapt algorithms to drive innovation
  • Train and optimize content classifiers to enable context-aware interactions within Copilot
  • Independently write efficient, readable, and extensible code and model pipelines
  • Contribute to defining the model quality roadmap for Copilot, balancing technical rigor with business and product priorities
  • Fulltime
Read More
Arrow Right

Member of Technical Staff, Applied Scientist - Windows Copilot

The Windows Copilot team is at the forefront of redefining how AI enhances every...
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.
  • Proven track record of deploying machine learning models in large-scale production environments.
  • 9+ years of experience building data pipelines, training deep learning models, and optimizing AI workflows.
  • 4+ years of experience building data pipelines, training deep learning models, and optimizing AI workflows.
Job Responsibility
Job Responsibility
  • Develop and refine data pipelines and infrastructure to support AI model development for Copilot.
  • Collaborate with research teams to integrate cutting-edge AI advancements into production systems.
  • Design, train, and evaluate machine learning models, ensuring performance optimization and scalability.
  • Work closely with engineering and product teams to ensure AI-driven experiences meet quality and user experience standards.
  • Conduct rigorous data analysis and experimentation, leveraging insights to improve Copilot’s intelligence.
  • Overcome obstacles to deliver iterative improvements in AI performance and responsiveness.
  • Stay ahead of the latest innovations in deep learning, reinforcement learning, and generative AI.
  • Embody our Culture and Values.
  • Fulltime
Read More
Arrow Right

Member Of Technical Staff - Security Engineer

Copilot is becoming an agentic system: it can plan, reason, and take actions acr...
Location
Location
United States , Redmond
Salary
Salary:
139900.00 - 274800.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Doctorate in Statistics, Mathematics, Computer Science, or related field AND 3+ years of experience OR Master’s Degree AND 4+ years of experience OR Bachelor’s Degree AND 6+ years of experience in security engineering, secure software development, large-scale computing, threat modeling, or applied security analytics, including experience designing or building systems to detect, prevent, or mitigate security threats, or equivalent experience.
Job Responsibility
Job Responsibility
  • Design and build secure, high‑performance platform components that support Copilot’s agentic workflows across cloud and device environments
  • Develop novel security mechanisms for agentic AI systems, including real‑time intent validation, information‑flow controls, isolation boundaries, and abuse‑resistant orchestration
  • Eliminate entire classes of vulnerabilities by creating secure‑by‑default APIs, sandboxing layers, and hardened system interfaces
  • Build and operate offensive security tooling and agents that continuously probe Copilot’s autonomy, reasoning paths, and trust boundaries
  • Partner closely with AI researchers, platform engineers, and product teams to translate research and prototypes into production‑ready security features
  • Write high‑quality, well‑tested code across backend services, platform layers, and AI‑adjacent systems
  • Use telemetry, signals, and data‑driven analysis to detect abuse, anomalous agent behavior, and emerging threat patterns
  • Navigate ambiguity, make sound engineering tradeoffs, and ship iteratively in a fast‑paced product environment
  • Contribute to a culture of high ownership, technical excellence, and inclusive collaboration.
  • Fulltime
Read More
Arrow Right

Member of Technical Staff - Responsible AI

Core AI is at the forefront of Microsoft’s mission to reinvent how software is b...
Location
Location
United States , New York
Salary
Salary:
139900.00 - 274800.00 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 6+ 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
  • Microsoft Cloud Background Check
  • Demonstrated track record of high-impact innovation, open-source contributions or publications
  • Experience working on safety, alignment, or Responsible AI
  • 6+ years of technical engineering experience designing and delivering highly available, large-scale cloud services
  • 4+ years of technical engineering experience with machine learning models
  • Ability to navigate the company, and influence and inspire peers in engineering and broad product development
Job Responsibility
Job Responsibility
  • Prototype, build, and iterate on new Responsible AI tools and capabilities that make it simple for developers to build and deploy AI responsibly at scale
  • Apply subject-matter expertise in cross-product features, collaborating with appropriate stakeholders to drive project plans, release plans, and deliverables across multiple groups
  • Proactively seek out new knowledge and adapt to new trends, technical solutions, and patterns that improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale, and share knowledge with other engineers
  • Work effectively in a fast-paced product environment where rapid prototyping, tight feedback loops, and iterative learning are core to how we build
  • Fulltime
Read More
Arrow Right

Member of Technical Staff, Microsoft Robotics (Spatial AI)

Microsoft’s Discovery and Quantum (MDQ) division develops and delivers advanced ...
Location
Location
United States , Redmond
Salary
Salary:
102100.00 - 202200.00 USD / Year ▼
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience
  • 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
  • Design, develop, and evaluate physical world models that capture 3D spatial structure, object geometry and pose, physics dynamics, material properties, and semantic scene understanding for robotic applications
  • Build and train world models (e.g., video prediction models, neural physics simulators, 3D generative models, scene graph representations) that predict future states of physical environments conditioned on robot actions, enabling model-based planning and policy learning
  • Develop spatial AI capabilities including 3D scene reconstruction, object detection and pose estimation, spatial relationship reasoning, occupancy prediction, and dense 3D feature representations for robot perception and planning
  • Implement and maintain evaluation frameworks for world models and spatial AI systems, including prediction accuracy metrics, planning performance benchmarks, and generalization testing across environments and object categories
  • Collaborate with robotics researchers, learning engineers, and simulation engineers to integrate world models into robot planning and control pipelines, enabling model-predictive control, imagination-based planning, and data-augmented training
  • Build data pipelines for training world models, including multi-sensor data fusion (RGB, depth, LiDAR, proprioception), scene annotation, and dataset curation for diverse physical environments and interaction scenarios
  • Write efficient, readable, extensible code in Python (including PyTorch, JAX, or TensorFlow) for model development, training, and evaluation, leveraging GPU computing infrastructure for large-scale experiments
  • Contribute to the formulation of the team's world modeling research and development roadmap, identifying high-impact technical directions and collaborating with leadership to prioritize investments
  • Present research findings and model evaluation results clearly and efficiently to internal stakeholders and external partners, contributing to technical publications, blog posts, and conference presentations
  • Stay current with state-of-the-art research in world models, spatial AI, 3D vision, neural physics simulation, and foundation models for physical understanding, actively contributing to the body of thought leadership in these areas
  • Fulltime
Read More
Arrow Right