Senior Machine Learning Scientist

Microsoft • Redmond, WA

5d

About The Position

Research and develop an understanding of the state-of-the-art tools, technologies, and methods being used in the research community and product groups. Advance research agenda through one or more projects, yielding new algorithms, prototypes, theories, tools, methods, or collections of data. Drive the team's strategic vision and align it with the overall company objectives. Collaborate with stakeholders to define project goals, success criteria, and deliverables. 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) 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.

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)
• 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)
• 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)
• 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)
• 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
• 4+ years of professional experience in SQL, R, Python, or related tools for large-scale analysis
• 4+ years leveraging the practical uses of statistics (i.e. experimentation, sampling)
• 3+ years experience conducting research as part of a research program (in academic or industry settings)
• 3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers)
• 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
• 4+ years with leveraging passion for & understand the need to deliver the right business impact by working with stakeholders to turn business problems into data analysis questions and unearthing deep insights from data
• Experience presenting at conferences or other events in the outside research/industry community as an invited speaker
• Have a track record of innovative thinking and problem-solving skills using Big Data
• Be self-driven and show the ability to deliver on ambiguous projects with incomplete data
• Demonstrates clear communication and effective interpersonal abilities
• Ability to convince other strong personalities of their ideas and communicate complex analysis & insights to a non-technical audience

Nice To Haves

• Professional experience with large-scale computing systems like PyTorch, DeepSpeed, Ray and/or similar systems.
• Experience with large language model, retrieved-augmented generation, and reinforcement learning

Responsibilities

• Research and develop an understanding of the state-of-the-art tools, technologies, and methods
• Advance research agenda through one or more projects, yielding new algorithms, prototypes, theories, tools, methods, or collections of data
• Drive the team's strategic vision and align it with the overall company objectives
• Collaborate with stakeholders to define project goals, success criteria, and deliverables

What This Job Offers

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