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Applied Scientist, Ring AI

Amazon is hiring an Applied Scientist, Ring AI in Toronto, Canada. It pays CAD 149k-CAD 249k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

  • Level rates this applied scientist role Builds AI ●●●●: the job is building AI systems.
  • Tools and skills the posting cites include Python, Java and C.
  • Level classifies it as a senior role.
  • Level lists 20,000+ other open roles at Amazon.

AI in this role

Develop state-of-the-art computer vision, multi-modal LLMs, and vision language models as an Applied Scientist for Ring AI.

PythonJavaCPyTorch
computer-visionmachine-learningmultimodal-llmsvision-language-models
Are you a passionate scientist in the computer vision area who is aspired to apply your skills to bring value to millions of customers? Here at Ring, we have a unique opportunity to innovate and see how the results of our work improve the lives of millions of people and make neighborhoods safer.

You will be part of a team committed to pushing the frontier of computer vision and machine learning technology to deliver the best experience for our neighbors.

This is a great opportunity for you to innovate in this space by developing highly optimized algorithms that will work on scale. This position requires experience with developing Multi-modal LLMs and Vision Language Models. You will collaborate with different Amazon teams to make informed decisions on the best practices in machine learning to build highly-optimized integrated hardware and software platforms.

Key job 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.

Basic qualifications

- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience building machine learning models or developing algorithms for business application
- Experience programming in Java, C++, Python or related language

Preferred qualifications

- Experience in Vision Language Models and LLMs
- Exhibits excellent business judgment; balances business, product, and technology very well.

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 - 149,300.00 - 249,300.00 CAD annually

How we rate this

Applied Scientist, Ring AI at Amazon rates 90 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.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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

Computer visionMachine learningMultimodal LLMsVision Language ModelsPythonJavaCPyTorch

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

  1. Walk me through a computer vision problem you solved, from raw data to a deployed model.
  2. Tell me about a project where machine learning was part of your work. What did you do?
  3. Tell me about a project where multimodal llms was part of your work. What did you do?
  4. Tell me about a project where vision language models was part of your work. What did you do?
  5. Walk me through how you've used Python in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Computer vision, Machine learning, Multimodal LLMs, Vision Language Models, and Python. 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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