Senior Applied Scientist at Microsoft

, , United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

07 Apr, 26

Salary

0.0

Posted On

07 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Reinforcement Learning, Search, Recommender Systems, Large Language Models, Python, Statistics, Predictive Analytics, Responsible AI, Privacy-Preserving ML, Technical Leadership, Experiment Design, Metrics Validation, Collaboration, Product Innovation, Customer Engagement

Industry

Software Development

Description

Overview We are looking for a Senior Applied Scientist to help shape the future of Microsoft 365 Copilot, with a focus on Search, Chat and Agent experiences. This role sits within the Microsoft Search, Assistant, and Intelligence (MSAI) organization, which powers the intelligence behind M365 Copilot by combining cutting-edge advances in generative AI with personalized search and recommendation systems. As a Senior Applied Scientist in MSAI, you will work in an exciting and fast-paced, collaborative environment. You will partner closely with engineering and product teams to innovate, design and evaluate end-to-end AI solutions that serve millions of enterprise users. This is a high-impact role where you will influence technical strategy, shape product direction, and collaborate across Microsoft to deliver AI-powered experiences that help users accomplish more with less effort. You’ll join a fast-paced, collaborative environment that brings together talent from across Microsoft—including Microsoft Research—to push the boundaries of what’s possible with Large Language Models (LLMs), reasoning systems, real-time orchestration platforms and modern personalized search and recommender systems. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Advance the science: Design and run experiments, define and validate metrics, and develop ML pipelines and models in areas like reinforcement learning, reasoning and Chain-of-Thought (CoT) optimization, Search, Recommender Systems and LLMs—all while upholding best practices in Responsible AI and Privacy-Preserving ML. Drive product innovation: Partner with Engineering, PM, and Design to translate product vision and industry trends into scalable, reliable, and agile architecture. Collaborate across Microsoft: Work closely with Microsoft Research, Azure, AI platform teams, and product groups to bring cutting-edge AI into real-world applications. Champion customer impact: Engage with customers and internal teams to deeply understand pain points and drive improvements that matter. Lead and mentor: Provide technical leadership to junior scientists and engineers, and scale your learnings across the broader product group. Define success: Establish and evolve success metrics that reflect platform and product growth. Stay ahead: Keep up with the latest research and foster a thriving applied science culture. Publishing is encouraged, though not required. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 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 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. Experience in SFT (Supervised Fine Tuning) and/or RL (reinforcement learning) modeling experience and/or proven experience of shipping search or recommender systems at scale. Proficient years of Python coding skill. Other Requirements: 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. Preferred Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 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 related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. Experience creating publications (e.g., patents, peer-reviewed academic papers). This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Responsibilities

Design and run experiments, develop ML pipelines, and collaborate with engineering and product teams to innovate AI solutions. Engage with customers to understand pain points and drive impactful improvements.