Senior Applied Scientist - M365 Copilot

Microsoft • Redmond, WA

4d

About The Position

You will master a broad area or research and understand any applicable research techniques. You'll also serve as a team expert on changes in industry trends, products, and other advances, and apply this knowledge to influence product needs. You will review business and product requirement, incorporate research, and provide strategic direction for problem solving. You will also ensure scientific rigor, support the development of methods, and apply your expertise to support business impact. You'll share research findings through industry outreach, collaborate with the academic community, and help develop the recruiting pipeline. You will document work and experimentation results and share findings to promote innovation. You'll provide guidance when capturing processes and contribute to ethics and privacy policies related to research processes and data collection.

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.
• 3+ years of experience in applied ML, NLP, or deep learning.
• 3+ years of experience in machine learning engineering, including model development, deployment, and optimization at scale.
• 3+ years of experience with programming skills in Python and ML frameworks (e.g., PyTorch, TensorFlow).
• These requirements include but are not limited to the following specialized security screenings: Master's degree AND 6+ years of experience OR PhD AND 3+ years of experience in applied ML or AI research.

Nice To Haves

• Experience with distributed training and inference optimization.
• Familiarity with production ML pipelines, experimentation platforms, and telemetry-driven development.
• Demonstrated contributions to the ML community through publications, patents, or open-source projects.

Responsibilities

• Master a broad area or research and understand any applicable research techniques.
• Serve as a team expert on changes in industry trends, products, and other advances, and apply this knowledge to influence product needs.
• Review business and product requirement, incorporate research, and provide strategic direction for problem solving.
• Ensure scientific rigor, support the development of methods, and apply your expertise to support business impact.
• Share research findings through industry outreach, collaborate with the academic community, and help develop the recruiting pipeline.
• Document work and experimentation results and share findings to promote innovation.
• Provide guidance when capturing processes and contribute to ethics and privacy policies related to research processes and data collection.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees