Principal Applied Scientist

Microsoft; Mountain View (CA); On-site; USD 137,000 - 267,000; Full time

Job summary

An established industry player is seeking a Principal Applied Scientist to drive innovation in search and AI technologies. This role involves developing advanced machine learning models and addressing complex challenges in data science and engineering. As part of a collaborative team, you will leverage diverse expertise to create impactful solutions that enhance search capabilities. If you're passionate about AI and eager to contribute to groundbreaking projects, this opportunity offers a chance to work at the forefront of technology, shaping the future of intelligent search systems. Join a culture that values growth, inclusion, and collaboration.

Qualifications

• 6+ years of experience in machine learning and deep learning projects.
• Experience in recommendation algorithms and natural language processing.

Responsibilities

• Demonstrate expertise in research and apply knowledge to influence product needs.
• Document work and share findings to promote innovation.

Skills

Machine Learning

Deep Learning

Recommendation Algorithms

Natural Language Processing

Data Science

Research Techniques

Education

Bachelor's Degree in Computer Science

Master's Degree in Computer Science

Doctorate in Computer Science

Job description

We are hiring a Principal Applied Scientist in Redmond, WA or Mountain View, CA to empower the rest of Microsoft’s teams and customers to build on the Core Search and AI team’s industrial grade machine learning. A critical part of the role is to develop an end-to-end understanding of Core Search and Artificial Intelligence (AI) models and to adapt these models and techniques to new search challenges across the company. This role will require solving both data science and engineering challenges.

We have seen little innovation in search in the last decade and we are looking for people who want to build the next generation of search using advanced AI technologies at scale. We are responsible for the largest machine learning models at Microsoft by volume and take pride in being the first in the world to solve many practical AI at Scale challenges. Our work spans a very large scope of scenarios including delivering high quality search results from a massive document corpus, extractive and abstractive summarization to generate document snippets, personalization, machine reading comprehension, and document recommendations.

As a team, we leverage the diverse backgrounds and experiences of engineers, scientists, and program managers to help us realize our goal of making the world smarter and more productive. We believe great products are built by inclusive teams of customer-obsessed individuals who trust each other and work together closely. We collaborate regularly across the company both to find the technology breakthroughs from groups like Microsoft Research to infusing AI into the rest of Microsoft products like Office and Azure.

If you have a keen interest in working in the latest and hottest areas that will help you develop skills in Artificial Intelligence, Machine Learning, data science and high scale systems, this is the team you’re looking for!

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

1. Demonstarte expertise in 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.
2. 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.
3. Identify and inspire peers and new research talent to join Microsoft, build relationships, and advocate for research initiatives. Share research findings through industry outreach, collaborate with the academic community, and help develop the recruiting pipeline.
4. 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.

Qualifications

Required Qualifications:

1. Bachelor's Degree in Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience
2. OR Master's Degree in Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience
3. OR Doctorate in Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience
4. OR equivalent experience.
5. 3+ years of experience in Machine learning in deep learning projects.
6. 3+ years of experience in recommendation algorithms or natural language processing.

Preferred Qualifications:

1. Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)
2. OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
3. OR equivalent experience.
4. 5+ years experience conducting research as part of a research program (in academic or industry settings).
5. 3+ years experience developing and deploying live production systems, as part of a product team.

Applied Sciences IC5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 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 $180,400 - $294,000 per year.

Microsoft will accept applications for the role until April 15, 2025.

#MicrosoftAI

Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .