Senior Applied Scientist — Computer Vision & Multimodal ML

Amazon; Bellevue (WA); On-site; USD 167,100 - 226,100; Full time

Job summary

Ring, an Amazon subsidiary, is seeking a passionate Applied Scientist specializing in computer vision and multi-modal ML to drive impact for millions of customers. You will design and optimize scalable CV/ML models for Ring devices, collaborating across teams to shape product direction.

We value hands-on researchers with strong coding skills in Python/Java/C++, a PhD or equivalent experience, and a track record of delivering practical ML solutions in production environments.

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.

Responsibilities

• Participate in the design, development, evaluation, deployment and updating of data-driven models for computer vision applications.
• Research and implement the state-of-the-art computer vision and Vision Language models algorithms.
• Collaborate with product managers and engineering teams to design and implement computer vision and machine learning based features for Ring devices.
• Influence system design and product vision by making informed decisions on the selection of technology, data sources, algorithms, and sensors.

Skills

Machine learning

Computer Vision

Python

Java/C++

Deep learning

Education

PhD

Master's + 6+ years applied research

Job description

Ring, an Amazon subsidiary, is seeking a passionate Applied Scientist specializing in computer vision and multi-modal ML to drive impact for millions of customers. You will design and optimize scalable CV/ML models for Ring devices, collaborating across teams to shape product direction.

We value hands-on researchers with strong coding skills in Python/Java/C++, a PhD or equivalent experience, and a track record of delivering practical ML solutions in production environments.