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Amazon Science

Sr. Applied Scientist, Alexa Smart Home

Vancouver, BC, Canada

Job type: Full-time
Apply by: Oct 30, 2026
Posting language: English
Posted: Sep 3, 2026

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Original job description

Description

Alexa Smart Home Science builds the intelligence that lets customers control and automate their homes naturally, spanning voice understanding, proactive automation, habit and preference learning, and the LLM/agentic systems that power the next generation of ambient home experiences. We are looking for a Senior Applied Scientist to own the scientific direction of a major workstream, turning ambiguous, open-ended problems into production systems that measurably improve the customer experience across millions of homes.

You will define the research agenda for your area, partner deeply with engineering to bring models into production, and raise the scientific bar

across the broader team. You will work at the intersection of large language models, agentic orchestration, personalization, and real-world heterogeneity across homes, devices, and occupants. This is a hands-on role: you will frame the problems, build the models, guide the system design, and mentor other scientists, while influencing product and technical roadmaps beyond your immediate team.

Key job responsibilities

Independently identify, frame, and solve ill-defined research problems tied to broad Smart Home problem areas, delivering with limited guidance.
Define system-level technical requirements and partner with engineering teams to adapt scientific techniques to meet production constraints (latency, cost, reliability), making appropriate tradeoffs.
Own the science strategy and roadmap for a workstream; anticipate future business and technical requirements.
Design and run rigorous experimentation and evaluation to validate approaches and quantify customer/business impact.
Build consensus on scientific approach and best practices across multiple teams; influence product features and technical direction beyond your own team.
Actively mentor and develop other scientists, and raise the bar in hiring.
Contribute to the internal and external scientific community through publications, patents, and dissemination of scientific artifacts.

A day in the life

No two days look alike, but the throughline is owning a scientific problem from question to production impact. You might dig into evaluation results to find where the experience falls short, frame a hypothesis, and prototype with LLMs or agentic techniques. You will pair with engineering to turn a promising model into a production-ready design, weighing latency, cost, and reliability tradeoffs. Expect alignment with product managers on customer problems, working sessions with fellow scientists, and time mentoring teammates. Your customers are Alexa smart home users across millions of households; your stakeholders span product, engineering, and partner science teams.

About The Team

We are the science team behind Alexa's smart home experience. We are applied scientists and science engineers making the home genuinely intelligent: anticipatory, personalized, and effortless. Our mission is to move Alexa from reacting to commands toward understanding a household's rhythms and acting helpfully on the customer's behalf, reliably and at scale. Because no two homes are alike, we embrace that diversity rather than paper over it. We value research-grounded decisions, hands-on work, and long-horizon bets. Scientists own their areas end-to-end, mentor one another, publish, and partner closely with engineering and product.

Basic Qualifications

3+ years of building machine learning models for business application experience
PhD, or Master's degree and 6+ years of applied research experience
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning

Preferred Qualifications

Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
Experience with large scale distributed systems such as Hadoop, Spark etc.

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 - 195,900.00 - 327,200.00 CAD annually

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More about this job

Responsibilities

Own the scientific direction and roadmap for a Smart Home workstream, framing research problems, developing models, and validating their customer and business impact. Partner with engineering and product to bring reliable, cost-effective models into production, influence technical direction, mentor scientists, and contribute to scientific publications and patents.

Requirements

Requires a PhD, or a master's degree with at least six years of applied research experience, plus at least three years building machine learning models for business applications. Candidates must have programming experience in Java, C++, Python, or a related language, and experience with neural deep learning and machine learning; experience with modeling tools and large-scale distributed systems is preferred.

Skills

Machine Learning
Applied Research
Deep Learning
Neural Networks
Large Language Models
Agentic Systems
Personalization
Model Evaluation
Scientific Experimentation
Python
Java
C++
Distributed Systems
Technical Leadership
Mentoring

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Prescription Insurance
Basic Life and AD&D Insurance
Deferred Profit Sharing Plan
Paid Time Off

Visa sponsorship

Not detected in the job text

Keywords

Alexa Smart Home
Applied Science
Machine Learning
Deep Learning
Neural Networks
Large Language Models
Agentic Orchestration
Personalization
Voice Understanding
Proactive Automation
Habit Learning
Preference Learning
Model Evaluation
Scientific Experimentation
Production Systems
Latency
Reliability
Cost Optimization
Python
Java
C++
R
Scikit-Learn
Spark MLlib
MxNet
TensorFlow
NumPy
SciPy
Hadoop
Spark

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