Applied Scientist, Alexa Smart Home

Amazon; Vancouver; On-site; CAD 140,000 - 200,000; Full time

Benefits offered by this job

Health insurance

RRSP

DPSP

Paid time off

RSUs

Job summary

Amazon is seeking a Senior Applied Scientist for the Alexa Smart Home Science group in Vancouver. You will own the scientific direction of a major workstream, turning ambiguous problems into production systems that improve customer experience across millions of homes.

You will define research agendas, partner with engineering to bring models to production, and mentor other scientists while influencing product and technical roadmaps beyond your team.

Qualifications

• 3+ years building ML models for business applications.
• PhD or MS with 6+ years of applied research.
• Proficient in Java, C++, Python or related language.
• Experience with neural deep learning methods and ML.

Responsibilities

• Identify and solve ill-defined research problems linked to Smart Home domains.
• Define system-level requirements and work with engineering to meet production constraints.
• Own the science strategy and roadmap for a workstream.
• Design and run rigorous experiments to validate approaches and quantify impact.
• Build consensus on scientific approaches across teams and influence product features.
• Mentor other scientists and contribute to hiring.

Skills

ML modeling

Java/C++/Python

Deep learning

Experimental design

Education

PhD

Master's +6 years applied research

Tools

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

NumPy

SciPy

Job 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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.