Applied Scientist, AMXL Worldwide Science

Amazon • Bellevue, WA

1d • Onsite

About The Position

Do you want to join an innovative team applying machine learning, advanced optimization techniques, and Large Language Models (LLMs) to transform the delivery of heavy and bulky items for Amazon customers? Are you excited about working with large-scale operational data and developing models that solve real-world logistics and fulfillment challenges? If so, the Amazon Extra Large (AMXL) Science team may be the right fit for you. AMXL is Amazon's specialized business for delivering heavy and bulky items, including appliances, furniture, fitness equipment, and mattresses, with a premium customer experience that includes room-of-choice delivery, at-home installations, and assembly services. We are seeking an Applied Scientist to help develop scalable machine learning and optimization solutions that improve delivery efficiency, capacity planning, network design, and customer experience across our rapidly growing network. In this role, you will partner with senior scientists and engineers to translate complex operational problems into data-driven solutions, build and evaluate models, and contribute to next-generation fulfillment and logistics systems.

Requirements

• Experience programming or scripting language like Python, Java, C or C++
• Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
• Currently has, or is in the process of obtaining, a Master's degree or above in Engineering, Computer Science, Machine Learning, Operations Research, Statistics, or related fields
• Experience building machine learning models or developing algorithms for business application

Nice To Haves

• Currently has, or is in the process of obtaining, a PhD in Engineering, Computer Science, Machine Learning, Operations Research, Statistics, or related fields
• Have publications at top-tier peer-reviewed conferences or journals
• Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
• Experience in designing experiments and statistical analysis of results
• Experience in solving business problems through machine learning, data mining and statistical algorithms

Responsibilities

• Apply machine learning, statistical techniques, time series modeling, and operations research to build and improve models for delivery routing, capacity planning, demand forecasting, workforce scheduling, and network optimization
• Analyze large-scale historical and real-time operational data to identify efficiency patterns, bottlenecks, and emerging trends across the AMXL network
• Develop, validate, and deploy innovative models under the guidance of senior scientists to improve cost-to-serve and customer experience
• Experiment with emerging technologies, including Generative AI and LLMs, to enhance automation, scheduling, and operational decision-making
• Collaborate closely with software engineers to implement models in real-time production systems
• Partner with operations, product, and business teams to translate operational insights into actionable improvements
• Build scalable, automated pipelines for data analysis, model training, and validation
• Monitor model performance and provide clear reporting on key operational and business metrics
• Research and prototype new modeling approaches to improve system performance and delivery quality

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
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level