Applied Scientist II Machine Learning

Are you a real Machine Learning enthusiast Does the magic of the data world fascinate you Here at the Copilot Search & Agents team we have been working on Machine Learning much before it became cool to do so. Here we are solving real world problems toempower millions of people around the globe.

MicrosoftSearch powers delightfuland relevantexperiencesfor enterprise users to cater to their overall information need. As part of this team you would get a chance to work on the core search stack powering all Copilot Search scenarios.

Were looking for an Applied Scientist II with deep expertise in applied AI and a solid track record of delivering products built using ML models at candidate should have hands on experiences with building machine learning models over large scale data. This is a unique opportunity to build the next generation search stack in Microsoft.

Youll join a fast-paced collaborative environment that brings together talent from across Microsoftincluding Microsoft Researchto push the boundaries of whats possible withState of the Art SLMs Deep Neural Nets Embedding Models as well as classical Gradient Boosted Tree (GBT) models.

Microsofts 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.

• 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 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 is encouraged though not required.

Required/Minimum Qualifications:

• Bachelors 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 Masters 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:

• Bachelors Degree in Statistics Computer Science Electrical or Computer Engineering or related field AND 5 years related experience (e.g. statistics predictive analytics research).
  • OR Masters 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.

#CAPIDC

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.

Required Experience:

IC