Job Description

Join the M365 Copilot team as an Applied Scientist to innovate AI-powered user experiences across Microsoft platforms. You will focus on enhancing M365 applications through advanced AI techniques, including LLMs and intelligent information retrieval, while fostering a culture of collaboration and inclusion.

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
OR equivalent experience
3+ years experience conducting research as part of a research program
1+ year(s) experience developing and deploying live production systems, as part of a product team
1+ year(s) experience developing and deploying live production systems, with LLM's

Responsibilities

Master and gain expertise in broad areas of AI and ML, including trending research techniques
Gain deep knowledge of building enterprise intelligence on office user’s data
Review business requirements and incorporate research to meet business goals
Provide strategic direction for the kinds of data used to solve problems
Participate in onboarding of junior team members and assist in developing academics
Identify new research talent to join Microsoft and collaborate with the academic community
Document work in progress and experimentation results and share findings
Contribute to ethics and privacy policies related to research processes and data collection
Collaborate with a multidisciplinary team to create scalable and ethical AI solutions

Benefits

Employees at Microsoft are often offered comprehensive, “world-class” benefits—including health and mental-wellness programs, competitive pay with bonuses and stock awards, and retirement/savings options. Time-off and flexibility are common, with generous vacation and holidays, parental and caregiver leave, and flexible work schedules, alongside learning support, employee resource groups, product discounts, and matching-gifts/volunteering programs. Specific benefits can vary by region.