Applied Scientist, Amazon Business Ads
Amazon · New York City, NY · Applied Science
About this role
Amazon is hiring a mid-level Applied Scientist in the machine learning function based in New York City, NY. The posting calls out experience with Python, Java, R, TensorFlow and roughly 3+ years of relevant work. Listed education preference: a master's degree or equivalent. Compensation is listed at $172,400–$223,400 per year.
- Role
- Applied Scientist
- Function
- machine learning
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- New York City, NY
- Experience
- 3+ years
- Education
- Master's degree
- Department
- Applied Science
- Posted
- Mar 18, 2026
More roles at Amazon
Job description
from Amazon careersAdvertising at Amazon is growing incredibly fast and we are responsible for defining and delivering a collection of advertising products that drive discovery and sales. Amazon Business Ads is equally growing fast ($XXXMs to $XBs) and owns engineering and science for the AB WW ad experience. We build business-to-business (“B2B”) specific ad solutions distributed across retail and ad systems for shopper and advertiser experiences. Some include new ad placements or widgets, creatives, sourcing techniques, ad campaign management capabilities and much more! We consider unique AB qualities which are differentiated from the consumer experience such as varying shopper role types, purchasing complexities based on business size and industry (eg education vs healthcare), AB specific features (eg business discounts, buying policies to restrict and prefer products), and AB buyer behaviors (eg buying in bulk). We are seeking a scientific leader who can drive innovation in complex problem areas and new business initiatives. The ideal candidate will: Technical Research Requirements: * Demonstrate fluency in Python, R, Matlab or other statistical languages and familiarity with deep learning frameworks like PyTorch, TensorFlow * Lead end-to-end solution development from research to prototyping and experimentation * Write and deploy significant parts of scientifically novel software solutions into…