Required Qualifications:
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ 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 4+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
- 1+ year(s) people management experience.
Other Requirement:
- 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:" before the Microsoft cloud background check statement.
- 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:
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 people management experience.
- 4+ years of hands-on experience in Python, PyTorch, TensorFlow, or other machine learning frameworks.
- 4+ years of relevant industry experience driving cutting-edge research into real world impact.
- 2+ experience in applying LLMs (Large Language Models) towards successful product outcomes.
- Experience building LLM workflows using cloud services such as HuggingFace, Azure, Google Cloud, AWS, etc.
- Hands-on experience working with GenAI, LLM fine-tuning, knowledge graphs and/or reinforcement learning.
- Experience in safety and ethical aspects of AI.
- Demonstrated ability to simplify and explain complex ideas through written and verbal communication.
- Experience in working with large-scale datasets.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:Microsoft will accept applications for the role until Aug 3, 2024.