Applied Scientist, Brand Protection Machine Learning

Amazon; Seattle (WA); On-site; USD 143,000 - 193,000; Full time

Benefits offered by this job

Health insurance

RSUs

Paid time off

Job summary

Amazon Science seeks an Applied Scientist to advance NLP, computer vision and multi-modality for brand protection. You will build state-of-the-art AI solutions and collaborate with product and engineering teams to deploy them at scale.

Ideal candidates bring deep learning experience, publications, and the ability to drive projects from concept to production in a fast-paced environment. Join a team protecting brands worldwide and shaping AI applications across Amazon.

Qualifications

• PhD or Master’s degree plus 1+ years of deep learning or related experience.
• Publications or patents in top-tier conferences or journals are preferred.
• Experience programming in Java, C++, Python or related languages.

Responsibilities

• Understand business challenges by analyzing data and customer feedback.
• Collaborate with product and engineering teams on ML strategies and experimentation.
• Analyze and extract information from large data sets to design strategies.
• Use deep learning to create scalable AI solutions for business problems.
• Publish research and present to senior leadership.
• Deploy end-to-end AI solutions into production with cross-functional teams.

Skills

Deep learning

Computer vision

Algorithms

Java

Python

C++

Publications

Education

PhD or Master's degree

Tools

Unix/Linux

Job description

Description

Amazon Science gives you insight into the company’s approach to customer focused 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.

Amazon Science gives you insight into the company’s approach to customer focused 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 "https://www.amazon.science" for more information.

Are you an expert in Natural Language Processing (NLP), computer vision Large Language Models (LLM) and multi-modality? Are you interested in building Generative AI solutions on complex business problems that have significant global benefit. The Brand Protection Science team designs and builds high performance AI systems using machine learning and deep learning that identify and prevent infringement and counterfeit on behalf of brand owners worldwide.

We are looking for a highly talented scientist to help build of our AI vision for Brand Protection. As a applied scientist on the team, you will use SOTA AI and ML techniques to understand and extract key information from product detail page, built automated AI solutions that thinks like human to make autonomous decisions. You will work backwards from data insights and customer feedback to build the right machine learning solutions, and resourceful in finding innovative solutions to unsolved problems. You will work closely will product team and engineering partners to launch the solution into production and own the end-to-end solution.

An ideal candidate should be a self-starter comfortable with ambiguity, strong attention to detail, and the ability to work in a fast-paced, ever-changing environment. As an Applied scientist,

you will own the design and development of end-to-end AI solutions, from conception to launch in a rapidly evolving environment. You’ll have the opportunity to create science roadmaps, and drive production level projects that will support Amazon Science. extensive experience driving Machine Learning initiatives, specially in NLP and LLM applications, from conception to launch in a rapidly evolving environment. You will work closely with other scientists and enigneers to develop solutions and deploy them into production. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems.

Major Responsibilities

• Understand business challenges by analyzing data and customer feedback


• Collaborate with tech and product teams on building ML strategies, experimentation, implementation and continuous improvement


• Analyze and extract relevant information from large amounts of both structured and unstructured data to design strategies to solve business problems.


• Use deep learning and machine learning techniques to create scalable solutions for business problems


• Create business and analytics reports and present to the senior management teams


• Research and implement novel AI solutions and publish research papers

Basic Qualifications

• PhD, or Master's degree and 1+ years of deep learning, computer vision, human robotic interaction, algorithms implementation experience


• Experience in patents or publications at top-tier peer-reviewed conferences or journals


• Experience programming in Java, C++, Python or related language


• Experience implementing algorithms using both toolkits and self-developed code

Preferred Qualifications

• Experience using Unix/Linux


• Experience in professional software development


• Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms

Key Job Responsibilities

Amazon Science gives 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 use our working backwards method to enrich the way we live and work.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at "https://amazon.jobs/en/benefits".

USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually

Company - Amazon.com LLC

Job ID: A10493483