ApplySarthi Match jobs to your CV

Applied Scientist, Alexa Connections

Amazon Development Centre Canada ULC

Make my CV for this job, freeView job and applyYour CV, rewritten for this role using only your real experience. Sign in with Google and upload your CV. Nothing to install.

Skills named in this job

Read from the description itself, not inferred.

This role on the market

25 open connections roles across 11 companies are on ApplySarthi right now, most of them in Chennai (2).

What connections roles keep asking for: LLMs (16%), Machine learning (16%), Java (12%), Python (12%), SQL (12%) — counted across their open postings here.

Remote Applied Scientist jobs · C++ jobs · Deep learning jobs · Java jobs · LLMs jobs

Amazon Development Centre Canada ULC has 213 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

Interviews for connections roles keep coming back to LLMs, Machine learning, Java, Python. Practise those questions before you sit with Amazon Development Centre Canada ULC.

Questions you are likely to be asked

  1. Why do you want to join Amazon Development Centre Canada ULC?
  2. What is your experience with Machine learning? Tell me one thing you learned the hard way.
  3. Where do you want to be in three years?
  4. What is a weakness you are working on, and how?
  5. Tell me about yourself, and why this role is the right next step.

Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.

Practise the Applied Scientist, Alexa Connections at Amazon Development Centre Canada ULC interview free →

Alexa Connections is on a mission to become the world's most trusted communication agent — spanning calls, text, email, and the ever-expanding surfaces where people connect. We're building intelligence Basic qualifications: - Master's degree or above in computer science, electrical engineering, or related field - Knowledge of programming languages such as C/C++, Python, Java or Perl - 2+ years of experience in a university, industry, or government lab with emphasis on machine learning, deep learning, speech/NLU, or on-device AI - Experience with ML frameworks such as PyTorch or TensorFlow - Experience developing and deploying ML models in at least one of the following: on-device inference, model optimization, speech/audio, NLU, or LLMs Preferred: - PhD in computer science, machine learning, engineering, or related fields - Experience with on-device model optimization: quantization, distillation, pruning, or low-rank adaptation for resource-constrained deployment - Experience with on-device inference runtimes (ONNX Runtime, TensorFlow Lite, ExecuTorch) or hardware accelerators (NPUs, DSPs, mobile GPUs) - Experience building or deploying small language models (SLMs) for edge environments 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, BC, Vancouver - 149,300.00 - 249,300.00 CAD annually CAN, ON, Toronto - 149,300.00 - 249,300.00 CAD annually

Match this job to your CV

ApplySarthi scores your CV against this role, shows the skills you are missing, and writes a tailored version for the application.

Check my match →

Similar open roles

Need answers during your interview? Try Live Sarthi.

Live Sarthi, an Interview Sarthi app, shows answer suggestions during the call.

Try Live Sarthi free →

A Windows app, from the same team as ApplySarthi.

Listed on amazon · posted 2026-09-23. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon Development Centre Canada ULC, not by us.