Principal Applied Science Manager (AI)

TL;DR

Principal Applied Science Manager (AI): Leading the development of impactful AI solutions for enhancing follow-on suggestion experiences through recommendation systems, generative AI, and natural language processing with an accent on designing, testing, and deployment of advanced models. Focus on translating research outcomes into scalable product features, driving experimentation, and ensuring solutions meet security and privacy standards.

Location: This is a hybrid role in India. hirify.global employees in India who live within a 25-mile commute of a designated Microsoft office are expected to work from the office at least four days per week.

Company

hirify.global is an organization focused on empowering every person and organization to achieve more by fostering a growth mindset, innovation, and collaboration.

What you will do

• Lead, mentor, and grow a diverse team of applied scientists, engineers, and researchers.
• Lead research and productization of follow-on suggestions in AI assistants and Search, delivering user value.
• Build, refine, and deploy machine learning models to solve NLP tasks and productize solutions at scale.
• Drive experimentation through A/B testing and offline validation to evaluate model performance.
• Collaborate across disciplines and geographies with product teams within Microsoft.
• Ensure solutions meet all security, privacy, and regulatory standards.

Requirements

• Bachelor’s Degree AND 12+ years experience in product/service/program management or software development OR equivalent experience.
• 4+ years of people management experience.
• Strong professional experience in machine learning, including deep learning, NLP, and generative AI applications.

Nice to have

• 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 working with big data stack for data processing and data science.
• Excellent communication, teamwork, and collaboration skills.
• Experience in productizing AI and collaborating with multidisciplinary teams.
• Published work in top-tier conferences & journals.
• Ability to synthesize research literature, compare/contrast/critique, and combine ideas into creating new ML models.

Culture & Benefits

• Work in a culture built on values of respect, integrity, and accountability.
• Thrive in an inclusive environment with a growth mindset.
• Collaborate to achieve shared goals and empower others.
• Work in a hybrid model for those within commute distance of a Microsoft office.

Hiring process

• Applications are accepted on an ongoing basis until the position is filled.
• Microsoft is an equal opportunity employer committed to diversity and inclusion.