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Principal Applied Scientist

Microsoft
London
8 months ago
Applications closed

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Principal Data Scientist - 1043664

Principal Data Scientist - Data Intelligence

Microsofts mission is to empower every person and every organization on the planet to achieve more. We are looking for a software engineer who can bring solid engineering expertise and a track record of shipping at-scale, AI-enabled, intelligent user-facing experiences to drive vision and execution for Microsoft 365 AI.

Microsoft believes that artificial intelligence will play a critical role in accomplishing that mission. The Microsoft Search, Assistant, and Intelligence (MSAI) group is leading this effort. We are working to change the lives and work of hundreds of millions by building deep intelligence and personalization into M365 Chat.

As a Software Engineer in MSAI, you would work in an exciting and fast-paced environment, collaborating closely with teams across the company. You will work as part of an organization that brings together talent and delivers product at scale in the areas of large language models, recommender systems, machine learning, deep learning, software engineering, and responsible AI. We value and encourage diversity in the belief that it leads to both great workplaces and great products.

Responsibilities
  1. Coding: Leads efforts to apply debugging tools, logs, telemetry, and other methods to proactively and reactively develop code across products. Reviews code to ensure it meets quality standards, is reliable, and appropriate for the products scale. Participates in code reviews, considering diagnosability, reliability, and maintainability. Mentors others to produce extensible and maintainable code, optimizes, debugs, refactors, and reuses code to improve performance and maintainability. Identifies best practices and coding patterns, and creates metrics to drive code quality and stability.
  2. Reliability and Supportability: Leads efforts to collect and analyze complex data on system health and bugs. Maintains live service operations on a rotational, on-call basis, implementing solutions to complex issues. Acts as a Designated Responsible Individual (DRI), mentoring other engineers and developing a playbook for issue resolution. Integrates instrumentation for gathering telemetry data on system behaviour and drives feedback loops from telemetry.
  3. Engineering Excellence: Leads the application of automation within production and deployment. Enhances, reuses, and identifies new developer tools to support code creation, debugging, and maintenance. Stays current with new trends and technical solutions, ensuring security, privacy, safety, and accessibility across solutions. Applies best practices for new code development and ensures compliance with regulations. Identifies key partners and maintains communication across the Microsoft ecosystem.
  4. Implement: Leads the creation of implementation frameworks and deployment of solutions. Drives project plans, release plans, and work items, breaking down long-term project vision into milestones. Conducts experimentation to determine the effectiveness of changes and monitors developments for prototyping and testing products.
  5. Design: Leads the development of design documents, identifying dependencies and interactions with other teams and technologies. Ensures system architecture meets security and compliance requirements. Mentors others in testing and assuring the quality of solutions, integrating automation features when planning for testing.
  6. Understand User Requirements: Partners with stakeholders to determine user requirements and incorporates feedback into future designs. Leads continuous feedback loops measuring customer value and usage patterns.
Qualifications

Bachelors Degree in Computer Science or related technical field AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Preferred Qualifications:

Masters Degree in Computer Science or related technical field AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelors Degree in Computer Science or related technical field AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

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National AI Awards 2025

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