Sr Applied Scientist, Brand Intelligence

Amazon; New York (NY); On-site; USD 150,000 - 260,000; Full time

Job summary

A forward-thinking company is seeking a passionate Senior Applied Scientist with expertise in Natural Language Processing and Machine Learning. This exciting role involves inventing scalable solutions for brand understanding, leveraging advanced technologies and collaborative efforts to enhance advertising tools. The ideal candidate will thrive in a dynamic environment, pushing the boundaries of machine learning applications and contributing to innovative projects. Join a team that values creativity and fosters a culture of inclusivity, where your contributions will directly impact the shopping experience for millions of customers.

Benefits

Equity options

Comprehensive medical benefits

Flexible working hours

Employee discounts

Retirement savings plan

Paid time off

Career development programs

Wellness programs

Parental leave

Work-life balance initiatives

Qualifications

• 3+ years of machine learning model building experience.
• Experience with large scale machine learning systems.
• Published research in leading ML conferences.

Responsibilities

• Invent and build scalable solutions for brand understanding.
• Lead efforts in building key ML features.
• Contribute to a collaborative and innovative team environment.

Skills

Machine Learning

Natural Language Processing (NLP)

Computer Vision (CV)

Java

Python

C++

Neural Deep Learning

Large Language Models (LLM)

Education

PhD in a related field

Master's degree in a related field

Tools

Hadoop

Spark

R

scikit-learn

TensorFlow

MxNet

numpy

scipy

Job description

Job ID: 2964775 | Amazon.com Services LLC

Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of advertising tools within Sponsored Products and Sponsored Brands that drive discovery and advertiser growth. Our brand understanding products are strategically important to our advertisers, helping them propel long term growth across retail and marketplace businesses. We deliver billions of ad impressions and clicks daily and are breaking fresh ground to create world-class brand intelligence models and products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action.

Within Sponsored Ads Advertiser Growth organization, the Brand Intelligence team is on a mission to make Amazon the best in class destination for shoppers to discover, engage and build affinity with brands, thereby making shopping delightful, and a personalized experience. Our team builds the central brand understanding foundation for Amazon ads and beyond. We focus on enabling brands to align customers' shopping intent and position its unique value proposition via Amazon Ads. We provide large-scale offline and online brand understanding data services, powered by Machine Learning technologies (e.g., Large-Language-Model, Multi-Modal Deep Neural Networks, Statistical Modeling).

About this Role:
We are looking for a passionate, talented Senior Applied Scientist in the field of Natural Language Processing (NLP), Computer Vision (CV), Large Language Model (LLM), Ads Recommender Systems, and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware Brand Understanding. A successful candidate will have strong machine learning background and a desire to push the boundary of one or more of the above areas. The ideal candidate is expected to leading the effort of building key ML features, contribute to the collaborative and innovative spirit within the team, and bring applied research to raise the bar within the team.

BASIC QUALIFICATIONS

- 3+ years of building machine learning models for business application experience
- PhD, or Master's 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 in building machine learning models for business application

PREFERRED QUALIFICATIONS

- Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
- Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)
- Experience with large scale distributed systems such as Hadoop, Spark etc.
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Published relevant research work in leading ML conferences or journals.

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.

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.

Posted: May 1, 2025 (Updated about 4 hours ago)

Posted: April 8, 2025 (Updated about 4 hours ago)

Posted: April 8, 2025 (Updated about 4 hours ago)

Posted: April 8, 2025 (Updated about 4 hours ago)

Posted: April 8, 2025 (Updated about 4 hours ago)

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