Senior Applied Scientist - Health and Life Sciences

Microsoft • Burlington, MA

8d

About The Position

Deeply engaged with the latest advancements in AI and speech technologies Focused on team success, contributing to a collaborative and inclusive environment Skilled in delivering high-quality, production-ready code that drives real-world impact

Requirements

• 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. These requirements include, but are not limited to, the following specialized security screenings:
• 5+ years of software development experience in production environments in C++ and Python
• Experience working with machine learning models in areas such as speech recognition, natural language processing, generative AI
• Proficient communication skills
• Experience with speech recognition algorithms (speech-to-text)
• Experience with the Azure ecosystem
• Experience with large-scale data processing and analytics

Responsibilities

• Bring new technology and approaches into production by applying long-term research efforts to solve immediate product needs
• Design, implement, optimize and experimentally evaluate features related to speech recognition and voice-driven document creation
• Analyze field data, identify problems and provide strategic direction for future-proof solutions
• Implement and enhance tools, learning algorithms and prototypes to advance speech technology capabilities
• Work closely with speech recognition experts, product managers, and engineering teams, and effectively communicate results and ideas to peers and leadership

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees