AmazonPosted 10mo ago

Applied Scientist III, RBKS AI

Applied Scientist III, RBKS AI at Amazon scores 96 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.

CA, ON, Torontomidfull-timeCAD 196k-CAD 327k

AI in this role

pytorchjax

fine-tuningcomputer-vision

The RBKS AI team is responsible innovating AI features for Ring and Blink cameras, with a mission to make our neighborhood safer. We are working in the intersection of computer vision, generative AI (GenAI), and ambient intelligence. The team is seeking AI Applied Scientists to work on initiatives that combine advanced computer vision and multimodal GenAI capabilities. This role offers a unique opportunity to shape next-generation home security technology while advancing the field of AI algorithms and systems.

The team is focused on productizing research in computer vision and GenAI into products that benefit millions of customers worldwide, such as real-time object detection, video understanding, and multimodal LLMs. We are at the forefront of developing AI solutions that seamlessly blend into our products while respecting privacy, delivering unprecedented levels of intelligent security experience.

Key job responsibilities
* Design and develop advanced computer vision and GenAI models and algorithms for comprehensive video understanding, including but not limited to object detection, recognition and spatial understanding
* Develop privacy-preserving CV and GenAI models and systems, focusing on efficient fine-tuning and on-device and in-cloud inference
* Map product requirements into science solutions and deliver high-quality science artifacts that ship to products
* Collaborate with scientists, engineers, product/program managers and other cross-functional teams
* Provide technical leadership on AI products/features, and develop and mentor junior scientists on the team.

Basic qualifications

- PhD, or Master's degree and 8+ years of applied research experience
- Proven expertise in developing and optimizing computer vision models, multimodal LLMs
- Proficiency in Python or other script programming languages
- 5+ years hands-on experience with computer vision and GenAI frameworks (e.g., PyTorch, Jax, etc.)

Preferred qualifications

- Experience dealing well with ambiguity, prioritizing needs, and delivering measurable results in an agile environment
- Experience with hardware-software co-design for CV and GenAI applications
- Background in visual transformers, diffusion models, and multimodal generation
- Expertise in real-time computer vision systems and optimization techniques
- Expertise in efficient training and deployment of vision models and multimodal large language models
- Published research in top-tier conferences (CVPR, ICCV, NeurIPS, ICML) focusing on computer vision and/or GenAI

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. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.

CAN, ON, Toronto - 195,900.00 - 327,200.00 CAD annually

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Fine TuningComputer VisionPyTorchJax

Questions you could be asked

Walk me through fine-tuning a model: what data did you use, and how did you check the result?
Walk me through a computer vision problem you solved, from raw data to a deployed model.
What are the limits of PyTorch that you've run into, and how did you work around them?
What's a project where you used Jax hands-on?
How would you decide a model or AI system is ready to ship?

Adapt your resume

List these exact terms on your resume: Fine Tuning, Computer Vision, PyTorch, and Jax. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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