Senior Applied Scientist, PXT Central Science

Amazon • Boston, MA

1d

About The Position

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

In this role, you will work on challenging problems spanning predictive
modeling, natural language processing, recommendation systems, and generative AI
applications. You will collaborate with cross-functional teams to translate
ambiguous business challenges into rigorous technical solutions.

The People eXperience and Technology Central Science Team (PXTCS) uses
economics, behavioral science, statistics, and machine learning to proactively
identify mechanisms and process improvements which simultaneously improve Amazon
and the lives, wellbeing, and the value of work to Amazonians. We are an
interdisciplinary team that combines the talents of science and engineering to
develop and deliver solutions that measurably achieve this goal.

Requirements

• PhD, or Master's degree and 5+ years of applied research experience
• 3+ years of building machine learning models for business application experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning

Nice To Haves

• Experience with large scale distributed systems such as Hadoop, Spark etc.
• Proven track record of leading end-to-end development from Ideation to monitoring in production
• Proven track record of mentoring and growing junior and mid-level scientists
• Experience with building LLMs, generative AI applications on AWS
• Excellent communication skills with ability to influence senior leadership
• Demonstrated ability to work in ambiguous problem spaces with evolving requirements

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 standardize and optimize manager-employee interactions, providing intelligent suggestions and establishing metrics to measure engagement quality across diverse conversation types
• 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

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree