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About the Role
As an Applied Scientist on the Alexa Connections team, you will research, develop, and deploy next-generation on-device AI for communication. You will build intelligence that keeps customers connected effortlessly, prioritizing trust and privacy by bringing small language models, agentic capabilities, and generative intelligence to the edge.
Responsibilities
- Design on-device arbitration systems that intelligently route between local and cloud inference in real time.
- Apply modern compression techniques like quantization, distillation, and low-rank adaptation to fit capabilities into tight memory and latency budgets.
- Optimize inference across on-device accelerators such as NPUs and mobile GPUs.
- Build privacy-first personalization that learns and adapts without user data leaving the device.
- Contribute to the science of edge communication intelligence, intent understanding, contact ranking, proactive connectivity, and conversational reasoning, all running locally.
- Collaborate with hardware, systems, and product teams to co-design models with the target device in mind.
- Translate research advances into production features that push the state of the art in on-device AI.
Requirements
- 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.
Skills
- Machine learning
- Deep learning
- Speech/NLU
- On-device AI
- PyTorch
- TensorFlow
- On-device inference
- Model optimization
- Speech/audio
- NLU
- LLMs
- Quantization
- Distillation
- Low-rank adaptation
- On-device accelerators
- NPUs
- Mobile GPUs
- Small language models (SLMs)
Location
- Vancouver, BC, Canada
- Toronto, ON, Canada
Work Type
- Full-time
Experience Level
- 2+ years of experience
Education Level
- Master's degree or above
- PhD
Salary/Compensations
- 149,300.00 - 249,300.00 CAD annually
Benefits
- Health insurance (medical, dental, vision, prescription, basic life & AD&D insurance)
- Registered Retirement Savings Plan (RRSP)
- Deferred Profit Sharing Plan (DPSP)
- Paid time off
- Other resources to improve health and well-being
About the Company
- 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 [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.
Equal Opportunity
- Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.