Data Scientist II at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

11 Apr, 26

Salary

199000.0

Posted On

11 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Python, Statistics, Predictive Analytics, Research, Deep Learning, Information Retrieval, Software Engineering, Natural Language Processing, AI Models, Data Analysis, Problem Solving, Statistical Modelling, Data Mining, Leadership, Diversity and Inclusion

Industry

Software Development

Description

Overview Microsoft 365 Copilot is a groundbreaking productivity tool that leverages the power of large language models, user data, Microsoft Graph, and the web to drive unparalleled creativity and productivity. At the heart of this innovation is the Office AI Platform team, which plays a crucial role in the aid of development of Copilot experiences in Office apps like Word, Excel, and PowerPoint and assists teams across Microsoft. We own the infrastructure and base AI platform that enables complex orchestration of Copilot workflows to put powerful AI capabilities at the user’s fingertips. We leverage the most advanced, large language models (LLMs) to develop cutting-edge Copilot experiences. We are hands-on, assist our partner teams in their ML efforts and set guidance on best practices through detailed experimentation and research. We have important AI skills like PPT Summary, Q&A, Podcast generation, among others. We have shipped the first fine-tuned model for M365 and are working on multiple fine-tuning scenarios for o3, CUA, and others. We are seeking a highly motivated and experienced scientist with expertise in machine learning. As an Applied Scientist in Office AI, you would work in an exciting and fast-paced environment, collaborating closely with teams across the company, including Microsoft Research and various product groups. You will work as part of an organization that brings together talent in the areas of large language models, deep learning, information retrieval, software engineering, and responsible AI. We value and encourage diversity in the belief that it leads to both great workplaces and great products. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities 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. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. Proficiency in Python and relevant ML libraries (e.g., PyTorch). Experience with transformer-based models (e.g., GPT, Llama). Technical background in coding and design, specifically in the development of AI models for scaled production services. Demonstrated success in shipping applied research to production, highlighting a track record of combining coding skills with advanced expertise in AI model development. Preferred Qualifications: Masters or Doctorate in Computer Science, Math, Statistics, or related areas with industry experience or publication record in the areas of Large Language Models, Machine Learning, or Natural Language Processing. Problem solving and data analysis skills, with expertise in developing or applying predictive analytics, statistical modelling, data mining, or machine learning algorithms. Leadership skills to influence others, with the ability to understand team dynamics, retain, attract, and develop team members. Grounded in growth mindset, and advocate for diversity and inclusion. Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Responsibilities

Research and develop an understanding of state-of-the-art tools and technologies. Collaborate with stakeholders to define project goals and deliverables.