Sr. Applied Scientist, Classification and Policy Platform
Sr. Applied Scientist, Classification and Policy Platform
Posted on :
04-06-2025
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1 Vacancy
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Yearly Salary
$ 150400 - 260000
Vacancy
1 Vacancy
Posted on :
04-06-2025
Job Description
Ever wonder how you can keep the worlds largest selection also the worlds 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 outstanding Applied Scientists to build technology to automatically monitor 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 cutting edge machine learning algorithms on large datasets. You will need to build Amazon scale applications running on Amazon Cloud that both leverage and create new technologies to process large volumes of data that derive patterns and conclusions from the data.
We are looking for highly motivated applied scientists and engineers interested in delivering the next level of innovation to product search for Amazon. As an Applied Scientist on the CPP team you will be responsible for working 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.
Responsibilities include:
- Designing and implementing new features and machine learned models including the application of state-of-art deep learning to solve search matching and ranking problems including filtering new content indexing and apply 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 a variety of 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 companys approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. Its the companys 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.
- 4 years of applied research experience
- 3 years of building machine learning models for business application experience
- PhD or Masters degree and 6 years of applied research experience
- Experience programming in Java C Python or related language
- Experience with neural deep learning methods and machine learning
- Experience 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: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow 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 Companys 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 youre applying in isnt 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 $150400/year in our lowest geographic market up to $260000/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.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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