Applied Scientist II - Machine Learning
Microsoft · Posted Nov 2
Software, cloud computing, artificial intelligence, and hardware services
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About the role
The Copilot Search & Agents team at Microsoft works on machine learning for search, powering delightful and relevant experiences for enterprise users and the core search stack behind all Copilot Search scenarios. The team builds with State of the Art SLMs, Deep Neural Nets, Embedding Models and classical Gradient Boosted Tree models, collaborating with Microsoft Research and Azure AI platform teams. This Applied Scientist II role designs and runs experiments, develops ML pipelines and models for intent understanding and semantic search over large-scale data, and partners with Engineering, PM and Design to ship scalable AI products.
What you will do
- Advance the science: Design and run experiments, define and validate metrics, and develop ML pipelines and models in areas like encoder-decoder models, cross-encoder models. You would also be working with Language models to understand user intent and developing a semantic search stack optimizing for the various search intents. You will be working with large scale data and derive insights out of it while championing Privacy and Compliance.
- Drive product innovation: Partner with Engineering, PM, and Design to translate product vision and industry trends into scalable, reliable, and agile architecture.
- Collaborate across Microsoft: Work closely with Microsoft Research, Azure, AI platform teams, and product groups to bring cutting-edge AI into real-world applications.
- Champion customer impact: Engage with customers and internal teams to deeply understand pain points and drive improvements that matter.
- Define success: Measure success metrics that reflect platform and product growth.
- Stay ahead: Keep up with the latest research and foster a thriving applied science culture. Publishing is encouraged, though not required.
Skills used in this role
What the employer is looking for
- Bachelor's Degree in Statistics, Econometrics, 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, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research). OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field. OR equivalent experience.
Preferred qualifications
- Bachelor's Degree in Statistics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ 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 2+ years related experience (e.g., statistics, predictive analytics, research). OR Doctorate in Statistics, Computer Science, Electrical or Computer Engineering, or related field) related experience (e.g., statistics, predictive analytics, research). OR equivalent experience.
- 3+ years of Python coding skill.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Microsoft
Microsoft Corporation is a multinational technology company that develops, licenses, and supports a wide range of software products, services, and hardware devices. Best known for its Windows operating systems, Microsoft 365 productivity suite, and Xbox gaming consoles, the company has expanded heavily into enterprise cloud computing via Azure and advanced artificial intelligence solutions. As one of the world's most valuable public enterprises, it empowers individuals and businesses globally through innovative digital transformation.
- Industry
- Software
- Company size
- 228,000+ employees
- Founded
- April 4, 1975
- Location
- Redmond, Washington, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
Chief Financial Officer
Vice Chair and President
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