Applied Scientist, Alexa Connections
Amazon Development Centre Canada ULC
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Skills named in this job
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This role on the market
25 open connections roles across 11 companies are on ApplySarthi right now, most of them in Chennai (2).
- Staff Software Engineer, Link - Bank ConnectionsStripe
- Associate Marketing Director - Digital and Consumer ConnectionsAbbott
- Head of Product, Alexa ConnectionsAmazon.com Services LLC
- Field Service Engineer Electrical (Grid Connections)Hitachi
- Software Development Engineer, Alexa ConnectionsADCI MAA 15 SEZ · chennai
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 · Java jobs · Machine learning jobs · NLP jobs
Amazon Development Centre Canada ULC has 212 open roles listed here.
- Software Development Manager, Promotions Customer Experience (PCX)
- Software Dev Engineer II, Amazon Marketing Cloud
- DevOps Engineer, AFT
- Software Development Engineer , Customer Service Technologies
- Software Dev Engineer II, 3P AV Measurement
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
- Why do you want to join Amazon Development Centre Canada ULC?
- What is your experience with NLP? Tell me one thing you learned the hard way.
- Where do you want to be in three years?
- What is a weakness you are working on, and how?
- 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: - PhD, or Master's degree and 4+ years of building machine learning models or developing algorithms for business application experience - 2+ years of programming in Java, C++, Python or related language experience - Experience building and deploying NLP models in production, such as named entity recognition, entity linking, intent detection, or language understanding Preferred: - PhD in computer science, machine learning, engineering, or related fields - Knowledge of standard speech and machine learning techniques - Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) - Experience applying large language models to NLP tasks, including instruction-tuning, in-context learning, or retrieval-augmented generation (RAG) - Experience with conversational AI, dialogue systems, or communication/messaging applications - Experience with multilingual NLP, coreference resolution, summarization, or working with noisy real-world text (transcribed speech, informal messaging 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
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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.