Sr. Applied Scientist, PXT Central Science

About the role

The Senior Applied Scientist will build production machine learning systems that solve complex business problems at scale. They will design, develop, and deploy ML solutions that directly impact millions of users and drive strategic decision-making across the organization.

Responsibilities

• Design and deploy large-scale machine learning systems in production environments
• Develop innovative ML solutions using state-of-the-art techniques including deep learning, NLP, and generative AI
• Create ML solutions that personalize manager onboarding and development experiences — identifying individual capability gaps, recommending tailored learning pathways, and measuring development effectiveness across diverse manager populations and contexts
• Partner to build causal inference models and experimental frameworks to measure impact
• Collaborate with product managers, engineers, and business leaders to define technical roadmaps
• Communicate complex technical concepts to diverse audiences, from technical peers to senior leadership

Requirements

• 3+ years of building machine learning models for business application experience
• PhD, or Master's degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning

Qualifications

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience with large scale distributed systems such as Hadoop, Spark etc.
• Experience in driving end to end delivery, and communicating results to senior leadership
• Experience with leading experienced scientists as well as having a record of developing junior members from academia or industry to a career track in a business environment
• Experience with building LLMs, generative AI applications on AWS
• Experience with personalization, recommendation systems, or adaptive learning systems

Skills

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience with large scale distributed systems such as Hadoop, Spark etc.
• Experience in driving end to end delivery, and communicating results to senior leadership
• Experience with leading experienced scientists as well as having a record of developing junior members from academia or industry to a career track in a business environment
• Experience with building LLMs, generative AI applications on AWS
• Experience with personalization, recommendation systems, or adaptive learning systems

Benefits

• Comprehensive benefits including health insurance, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage
• 401(k) matching
• Paid time off
• Parental leave

Pay

Base salary range: $167,100.00 - $226,100.00 USD annually

Schedule

Full-time