Principal Applied Scientist, Fulfillment Technologies and Robotics

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 statistical and machine learning skills can help make that a reality on the Mechatronics and Sustainable Packaging team.

We are seeking a Principal Applied Scientist who will join a team of experts in the field of Statistics, Operational Research, Machine Learning (ML), Computer Vision and Generative AI to work together to break new ground in the world of automated packaging solutions.

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, statistics, 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 10+ 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

10+ 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 in leading, mentoring, and growing teams of scientists

Demonstrated ability to serve as a technical lead

Excellent writing skills for presenting business cases and scientific models with rigorous analyses that support results/conclusions to influence important decisions.

Strong fundamentals in problem solving, algorithm design and complexity analysis

Preferred Qualifications

Deep technical knowledge of machine learning and statistical methodologies

Experience with deep learning toolkits and frameworks

Solid software development experience

Algorithm and model development experience for large-scale applications

Experience with defining research and development practices in an applied environment

Excellent communication skills, both written and oral, with technical and business people.

Professional traits, that are not unique to this position but are necessary for Amazon leaders, including exhibiting excellent judgment; maintaining relentlessly high standards; thinking strategically while staying on top of tactical execution; expecting innovation from collaborators; thinking big; having convictions; being results oriented; and inspiring passion in others about learning, research, and implementation

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.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/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.