Sr. Applied Scientist, Classification And Policy Platform

Sr.Applied Scientist, Classification and Policy Platform Job ID: ******* | Amazon.com Services LLCEver wonder how you can keep the world's largest selection also the world's safest and legally compliant selection?Then come join a team with the charter to monitor and classify the billions of items in the Amazon catalog to ensure compliance with various legal regulations.The Classification and Policy Platform team is looking for Applied Scientists to build technology that automatically monitors the billions of products on the Amazon platform.The software and processes built by this team are a critical component of building a catalog that our customers trust.You will have an opportunity to work with machine learning algorithms on large datasets and build Amazon-scale applications running on Amazon Cloud that both leverage and create new technologies to process large volumes of data, deriving patterns and conclusions from the data.As an Applied Scientist on the CPP team, you will work across backend, client, business development, and data engineering teams to coordinate deep-dives, inform roadmaps, visualize metrics, and create predictive models to determine how we can best serve our customers.Key Job ResponsibilitiesDesigning and implementing new features and machine-learned models, including the application of state-of-the-art deep learning to solve search matching and ranking problems, including filtering, new content indexing, and applying document understanding.Conducting and coordinating process development leading to improved and streamlined processes for model development.Strong customer focus is essential.Working closely with Product Managers to expand depth of our product insights with data, create experiments, and determine the highest-impact projects to include in planning roadmaps.Providing technical and scientific guidance to your team members.Communicating effectively with senior management as well as with colleagues from science, engineering, and business backgrounds.Being a cultural leader that ensures teams are collecting, understanding, and using data to inform every decision that impacts our customers.The successful candidate will have an established background in developing customer-facing experiences, a strong technical ability, a start-up mentality, excellent project management skills, and great communication skills.Amazon Science gives you insight into the company's approach to customer-obsessed scientific innovation.Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world.It's the company's ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields.Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working-backwards method to enrich the way we live and work.Please visit for more information.Basic Qualifications4+ years of applied research experience3+ years of building machine learning models for business application experiencePhD, or Master's degree and 6+ years of applied research experienceExperience programming in Java, C++, Python or related languageExperience with neural deep learning methods and machine learningPreferred QualificationsExperience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, etc.Experience with large-scale distributed systems such as Hadoop, Spark, etc.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Los Angeles County applicants: Job duties for this position include working safely and cooperatively with other employees, supervisors, and staff; adhering to standards of excellence despite stressful conditions; communicating effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and following all federal, state, and local laws and company policies.Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the company's reputation.Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.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 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 $150,400 per year in our lowest geographic market up to $260,000 per 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 .This position will remain posted until filled.Applicants should apply via our internal or external career site.#J-*****-Ljbffr