Responsibilities
Some of the specific search relevance areas that the team is focused on are:
- End to end ranking of search results.
- Personalization of search results.
- LLM applications to Search problems.
- Experiment with State of the Art encoding/decoding architectures for Search.
- Document Text/Passage extraction and understanding.
- Compliance and Privacy aware Machine Learning training pipelines at scale.
Qualifications
Required Qualifications:
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
- OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ year(s) data-science experience (e.g., managing structured and unstructured data, applying techniques and reporting results.
- OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applyingtechniques and reporting results.
- OR equivalent experience.
- 1+ year(s) customer-facing, project-delivery experience, professional services, and/or consulting experience.
Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred Qualifications:
- 2+ years of experience in Data Science, Machine Learning, Software Engineering.
- Hands on experience of implementing and shipping production quality Machine Learning models or Data pipelines.
- A minimum of Bachelor’s degree in Computer Science or related field.
- Prior work/research experience in Search domain is preferable.