AmazonApplied Scientist III, RBKS AI
Amazon is hiring an Applied Scientist III, RBKS AI in Toronto, Canada. It pays CAD 196k-CAD 327k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Builds AI ●●●● is how Level rates this applied scientist role: the job is building AI systems.
- Tools and skills the posting cites include PyTorch, JAX and fine tuning.
- Level classifies it as a mid-level role.
- Level lists 20,000+ other open roles at Amazon.
AI in this role
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
How we rate this
Applied Scientist III, RBKS AI at Amazon rates 96 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in applied scientist jobs at this level
Pay
- Typical applied scientist job
- $167k
Use the typical applied scientist figure as a reference when pay comes up. See applied scientist jobs
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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