Senior Applied Scientist, Mechatronics & Sustainable Packaging

DESCRIPTION: Do you want to be part of a team that's revolutionizing Amazon's fulfillment and packaging technology? Can you commit to optimizing systems that process tens-of-millions of customer packages daily with the lowest cost to serve and a defect-free customer experience? Do you have a passion for solving complex science challenges and building a sustainable e-commerce experience?<br><br>The Mechatronics & Sustainable Packaging (MSP) team is seeking an experienced and senior Applied Scientist who will join a team of experts in the field of Machine Learning (ML), Statistics, Operations Research, Computer Vision and Generative AI to work together to break new ground in the world of automated packaging solutions. The MSP team owns mission-critical automation and packaging solutions that impact billions of customer shipments annually across Amazon’s WW marketplaces. We manage billions in material spend and pack labor costs while driving significant reductions in carbon emissions. Our team is revolutionizing e-commerce through advanced packaging automation, innovative sortation technology, and sustainable solutions. We're dramatically reducing single-use plastics across our network while developing next-generation automated solutions that can handle the majority of our packaging needs. We're also transforming our supply chain through strategic investments in paper manufacturing and innovative materials, driving both substantial cost savings and environmental benefits. This is an exciting opportunity to work on large-scale automation challenges that directly impact customer experience, operational efficiency, and environmental sustainability at one of the world's largest e-commerce companies.<br><br>You'll work in a collaborative environment where you can pursue ambitious research with many peta-bytes of data, work on problems that haven’t been solved before, quickly implement and deploy your algorithmic ideas at scale, understand whether they succeed via statistically relevant experiments across millions of customers, and publish your research. You'll see the work you do directly improve the packaging experience of Amazon customers in the fulfillment technology space. If you are interested in robotics, computer vision, machine learning, operations research, statistics, big data, and building scalable solutions, this role is for you.<br><br><br>Key job responsibilities<br>A successful candidate in this role may perform some or all of the following responsibilities:<br><br>- Develop advanced AI models by extracting predictive features from multiple data sources (product/packaging images, product descriptions, sensor data, geospatial data) to forecast package-related damages and optimize packaging decisions based on customer preference prediction<br>- Build causal inference model to capture the downstream impacts of different packaging designs and delivery experience<br>- Leverage generative AI technologies to develop scalable solutions for automated product compatibility and safety assessments (e.g., evaluating product shipping compatibility, safety requirements, and packaging configurations)<br>- Develop and implement computer vision solutions to automate packaging workflows and detect product/packaging defects in real-time operations<br>- Design and implement robotic control algorithms to optimize machine efficiency and meet diverse business objectives BASIC QUALIFICATIONS:

• PhD, or Master's degree and 5+ years of applied research experience<br>- 5+ years of building machine learning models for business application experience<br>- 5+ years of industry or academic research experience<br>- Experience with neural deep learning methods and machine learning<br>- Experience programming in Java, C++, Python or related language<br>- Experience with building GenAI application in a production environment PREFERRED QUALIFICATIONS:
• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.<br>- Experience with building computer vision application in a production evenrionment<br><br>Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br><br>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 <a href="https://amazon.jobs/content/en/how-we-hire/accommodations">https://amazon.jobs/content/en/how-we-hire/accommodations</a> for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.<br><br>Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit <a href="https://www.aboutamazon.com/workplace/employee-benefits">https://www.aboutamazon.com/workplace/employee-benefits</a>. This position will remain posted until filled. Applicants should apply via our internal or external career site.