Lead, mentor and grow a diverse world-class team of applied scientists, engineers and researchers. Build, refine and deploy machine learning models to solve NLP tasks and productizing the solutions at scale. Stay up to date with the research literature and product advances in AI for suggestion experiences.
Responsibilities
Lead research and productization of follow-on suggestions in AI assistants and Search by creating clarity, generating energy and delivering user value. Drive experimentation through A/B testing and offline validation to evaluate model performance. Ensure solutions meet all security, privacy, and regulatory standards. Contribute ideas and techniques to create and improve product quality metrics. Participate in planning, design, implementation and execution with a team of engineers, applied scientists and product managers. Lead others by exemplifying growth mindset, inclusiveness, teamwork, and customer obsession.
Required Qualifications
Bachelor's Degree AND 12+ years experience in product/service/program management or software development. OR equivalent experience. 4+ year(s) people management experience. Strong professional experience in machine learning, including deep learning, NLP and gen AI applications. Masters or PhD degree in Computer Science, Statistics, or related fields. PhD in Data science + ML is a plus. Experience in building large scale recommendation systems and experience working with big data stack for data processing and data science is desirable. Excellent communication skills, ability to present and write reports, strong teamwork and collaboration skills. Experience in productizing AI and collaborating with multidisciplinary teams. Published work in top-tier conferences & journals is a plus. Ability to synthesize research literature, compare/contrast/critique and combine ideas into creating new ML models.
Original Posting
This role is sourced from Microsoft. Apply on Microsoft careers page