What are the responsibilities and job description for the Applied Scientist, AMXL Worldwide Science position at Amazon?
Description
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.
Key job 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
A day in the life
You will be working within a dynamic, diverse, and supportive group of scientists who share your passion for innovation and excellence in logistics and fulfillment science.
You will work closely with business partners, operations teams, and engineering teams to create end-to-end scalable machine learning solutions that address real-world challenges across AMXL's heavy and bulky delivery network, including demand forecasting, capacity planning, routing optimization, and customer experience improvement.
You will build scalable, efficient, and automated processes for large-scale data analyses, model development, model validation, and model implementation in production systems.
You will also provide clear and compelling reports on your solutions to both technical and non-technical stakeholders, and contribute to the ongoing innovation and knowledge-sharing that are central to the team's success.
About The Team
The AMXL (Amazon Extra Large) Worldwide Science team is a multidisciplinary organization of data scientists, applied scientists, and product managers dedicated to solving some of the most complex supply chain and logistics challenges in Amazon's heavy bulky business. The team's mission is to leverage advanced analytics, machine learning, and optimization science to drive measurable improvements across the AMXL end-to-end supply chain — from inbound fulfillment and middle-mile transportation to last-mile delivery of heavy and bulky items. The science team transforms complex operational data into actionable intelligence that directly impacts customer experience, cost efficiency, and delivery performance at a worldwide scale.
Basic Qualifications
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Bellevue - 136,000.00 - 184,000.00 USD annually
Company - Amazon.com Services LLC
Job ID: A10404379
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.
Key job 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
A day in the life
You will be working within a dynamic, diverse, and supportive group of scientists who share your passion for innovation and excellence in logistics and fulfillment science.
You will work closely with business partners, operations teams, and engineering teams to create end-to-end scalable machine learning solutions that address real-world challenges across AMXL's heavy and bulky delivery network, including demand forecasting, capacity planning, routing optimization, and customer experience improvement.
You will build scalable, efficient, and automated processes for large-scale data analyses, model development, model validation, and model implementation in production systems.
You will also provide clear and compelling reports on your solutions to both technical and non-technical stakeholders, and contribute to the ongoing innovation and knowledge-sharing that are central to the team's success.
About The Team
The AMXL (Amazon Extra Large) Worldwide Science team is a multidisciplinary organization of data scientists, applied scientists, and product managers dedicated to solving some of the most complex supply chain and logistics challenges in Amazon's heavy bulky business. The team's mission is to leverage advanced analytics, machine learning, and optimization science to drive measurable improvements across the AMXL end-to-end supply chain — from inbound fulfillment and middle-mile transportation to last-mile delivery of heavy and bulky items. The science team transforms complex operational data into actionable intelligence that directly impacts customer experience, cost efficiency, and delivery performance at a worldwide scale.
Basic Qualifications
- 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
- 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
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Bellevue - 136,000.00 - 184,000.00 USD annually
Company - Amazon.com Services LLC
Job ID: A10404379