TL;DR

Applied Scientist II (AI): Develops and evaluates ML models, focusing on generative AI and large-scale model optimization for Bing and Consumer Copilot. Finding insights on large-scale data with machine learning and data mining techniques with an accent on experimental prompt tuning and advanced AI techniques. Focus on writing production-quality code, designing experiments, and wrangling petabytes of data to improve quality, efficiency, and reliability.

Location: Expected to work from the office at least four days per week if living within a 50-mile commute of a designated Microsoft office in the U.S.

Salary: USD $100,600 – $215,400 per year.

Company

%hirify_global% unites product, engineering, and science teams to advance Bing and Consumer Copilot.

What you will do

Develop and evaluate ML models using prepared datasets and novel training algorithms.
Find insights on large-scale data using machine learning and data mining techniques.
Design experiments and produce actionable conclusions to improve quality and reliability.
Write production-quality code and apply debugging best practices.
Wrangle large amounts of data using various tools, including Python, C#, R, C++, Java, and SQL.
Assist senior executives in making key business decisions by presenting complex data in a concise form.

Requirements

Bachelor’s Degree in Statistics, Econometrics, Computer Science, or related field and 2+ years related experience OR Master’s Degree and 1+ year of experience OR Doctorate in related field OR equivalent experience.
Ability to meet Microsoft, customer and/or government security screening requirements, including the Microsoft Cloud Background Check.

Nice to have

MS, Ph.D., or BS (with industry experience) in Computer Science, Statistics, or related fields.
2+ years of experience with C#/C++/Java/Python/Scala and knowledge of Data Structures/Algorithms.
Experience in data analytics, applied machine learning, deep learning and/or related fields.

Culture & Benefits

Employees come together with a growth mindset to empower others.
Values of respect, integrity, and accountability to create a culture of inclusion.
Equal opportunity employer.