Lead Applied Scientist

1 week ago

Atlanta, Georgia, United States Microsoft Full time

Are you passionate about leveraging AI (Artificial Intelligence) to solve complex problems and enhance customer experiences? The Azure Customer Experience Platform (CXP) team is dedicated to transforming Microsoft Cloud customers into enthusiastic advocates.

By engaging deeply with customers and collaborating with various teams across Microsoft, we identify and amplify customer requirements, driving the vision to enhance Cloud quality, security, and reliability.

Our culture is rooted in a growth mindset and empowerment, which are integral to our operations.

In this exciting era of AI, the role within the Azure CXP Data & Applied Sciences team offers the chance to work on innovative GenAI and ML (Machine Learning) solutions that lead to significant, measurable improvements in key aspects of Azure customer experience.

In a high-impact environment, we seek a Lead Applied Scientist who can spearhead critical initiatives focused on Security, Reliability, and Quality through advanced AI solutions, collaborating with a diverse team of Product Managers, Designers, Engineers, and Data Scientists.

Every day, our customers rely on our cloud services for their business success. You can contribute to #AzCXP by providing our customers with exceptional cloud solutions.

Microsoft's mission is to empower every individual and organization on the planet to achieve more. As employees, we unite with a growth mindset, innovate to empower others, and collaborate to achieve our collective goals.

We uphold our values of respect, integrity, and accountability, fostering a culture of inclusion where everyone can thrive at work and beyond.

In line with our Microsoft values, we are committed to nurturing an inclusive work environment that positively influences our culture daily.


Required Qualifications:


Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or a related field AND 6+ years of relevant experience (e.g., statistics, predictive analytics, research) OR Master's Degree in the same fields AND 4+ years of relevant experience OR Doctorate in the same fields AND 3+ years of relevant experience OR equivalent experience.


Other Qualifications:
Ability to meet Microsoft, customer, and/or government security screening requirements are necessary for this role.

These requirements include, but are not limited to the following specialized security screenings:

Microsoft Cloud Background Check:
This position will require passing the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Preferred Qualifications:


3+ years of experience in developing and deploying products or systems at various stages of the product cycle from ideation to delivery. 3+ years of experience in deploying live production systems as part of a product team. 5+ years of experience conducting research within a research program (in academic or industry settings). 2+ years of experience presenting at conferences or other events as an invited speaker. 5+ years of experience in creating publications (e.g., patents, libraries, peer-reviewed academic papers).

Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or a related field AND 9+ years of relevant experience OR Doctorate in the same fields AND 6+ years of relevant experience OR equivalent experience.

Experience with OpenAI, Python, PyTorch, TensorFlow, langchain, or other machine learning frameworks.

Experience in delivering AI product features, AI Frameworks, and AI Skills/plug-ins. Relevant prior work experience in statistics, predictive analytics, research, or GenAI.

As a Lead Applied Scientist in our team, you will:


  • Engage with product and business groups to drive the impact of AI projects throughout the lifecycle from idea creation through technology transfers, applied research, experimentation, implementation, and finally to global availability.
  • Work with large-scale computing frameworks, data analysis systems, and modeling environments to build and apply models to real products, verifying effects through iterations.
  • Conduct rigorous experiments and evaluations to assess the quality and impact of your solutions, refining them based on data and customer feedback.
  • Communicate technical findings and insights effectively.
  • Collaborate with cross-functional teams including researchers, applied scientists, engineers, product managers, and designers to enhance the end-to-end AI Quality of our production systems.
  • Leverage data from various sources and domains to design and implement innovative solutions that meet rigorous metrics and address customer needs.
  • Mentor and guide less experienced scientists in the team, managing project schedules, milestones, KPIs, reviews, and checkpoints.
  • Ensure compliance with Microsoft Responsible AI standards throughout the AI system lifecycle.
  • Stay updated on the latest advancements in machine learning, information retrieval, and recommendation systems, contributing to the company's intellectual property through patents and publications.

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