Microsoft Senior Applied Scientist Azure AI Speech 

United States, Washington 

329511999

Required/Minimum Qualifications

• Bachelor'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 Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research
  • OR Doctorate 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 equivalent experience.
• 3+ years of experience in one or more of the following areas: speech recognition, large language models, machine learning,deep learning,pattern recognition, statistics.

Additional or Preferred Qualifications

• Master'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 o 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) o OR equivalent experience.
• 3+ years of programming experience in Python.
• 3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
• Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
• 3+ years experience conducting research as part of a research program (in academic or industry settings).
• 2+ years of experience with PyTorch.
• 1+ year(s) experience developing and deploying live production systems, as part of a product team.
• 1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
• Experience in AI benchmarking, such as LLM, speech, computer vision, machine translation, etc.
• Publication on top speech and machine learning conferences, such as ICASSP, InterSpeech, ASRU, ICML, ICLR, NeuroIPS, etc.
• Extensive experience in speech model development.
• Strong software development skills and an aptitude for software design, coding, and quality

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

• Innovate and develop cutting edge benchmarking metrics to advance speech technologies in real-world user scenarios.
• Develop and execute test plans for qualifying and monitoring the performance of speech services and applications.
• Collaborate with stakeholders to define user requirements and design evaluation methodologies that align with user experience and product goals.
• Utilize diverse feedback channels (e.g., A/B testing, flight experiments, and log analysis) to assess the performance and reliability of speech systems in dynamic environments.

• Stay updated with the latest trends in speech technologies, large language models (LLM), and evaluation techniques, and apply knowledge to ongoing projects.