Senior Applied Scientist, Fulfillment Technologies and Robotics - Amazon

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? Your Deep Learning skills can help make that a reality on the Mechatronics and Sustainable Packaging team. We are looking for a talented Senior Applied Scientist to join our team. You will join a team of Scientists and Machine Learning Engineers (MLEs) to directly improve the packaging experience of Amazon customers in the fulfillment technology space. The team consists of experts in the field of Statistics, Operational Research, Machine Learning (ML), Computer Vision and Generative AI who work together to break new ground in the world of automated packaging solutions. You'll work in a collaborative environment where you will deploy and scale ML solutions to peta-bytes of data, work on problems that haven't been solved before, and understand whether they succeed via statistically relevant experiments across millions of customers. 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, big data, and building scalable solutions, this role is for you. The successful candidate will have a PhD in Computer Science, Statistics, or Engineering with a strong focus on data analysis, machine learning, generative AI or a related field, and 5+ years of practical experience solving complex problems in computer vision, anomaly detection, robotics. or multi-modal classification systems. Manufacturing, packaging and/or logistic experience is a plus, but not a requirement. Key job responsibilities - Advance exploratory research projects in machine learning, statistics and related fields to create defect-free packaging customer experiences - Analyze large amounts of Amazon shipments to discover patterns, find opportunities, and develop highly innovative, scalable algorithms to seize these opportunities - Validate new or improved models via statistically relevant experiments across millions of customers - Work closely with software engineering teams to build scalable prototypes for testing, and integrate successful models and algorithms in production systems at very large scale Basic Qualifications - Ph.D. degree in Computer Science, Statistics, Machine Learning, or a related field with publications in refereed academic conferences and journals - 5+ years of experience of solving difficult machine learning, optimization, or statistical business problems - Experience programming in Python, Java, C++ or a related language - Proven track record of bringing advanced science solutions to production Preferred Qualifications - Professional experience building complex software systems, especially involving deep learning, machine learning, robotics and/or computer vision, that have been successfully delivered to customers - Algorithm and model development experience for large-scale applications - Ability to handle multiple contending priorities in an energizing environment - Strong problem-solving skills - Solid software development experience Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us. 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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.