Principal Applied Scientist
Job Description
- Research experience in academic or industry settings
- Master's or Doctorate degree in a relevant field
- Expertise in machine learning and deep learning
- Experience with recommendation algorithms and NLP
- Ability to solve data science and engineering challenges
- Experience deploying live production systems
- Industry-leading healthcare
- Educational resources
- Product and service discounts
- Savings and investment options
- Maternity and paternity leave
- Generous time off
- Giving programs
- Networking opportunities
Overview
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.
Qualifications
Required Qualifications:
- Bachelor's Degree in Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience
- OR Master's Degree in Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience
- OR Doctorate in Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience
- OR equivalent experience.
- 3+ years of experience in Machine learning in deep learning projects.
- 3+ years of experience in recommendation algorithms or natural language processing.
Preferred Qualifications:
- 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)
- 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)
- OR equivalent experience.
- 5+ years experience conducting research as part of a research program (in academic or industry settings).
- 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.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
#MicrosoftAI
Responsibilities
- 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.
- 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.
- 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.
- 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.
