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Added 10 days ago
Associate or Vice President Full Stack Engineer
BMO
Toronto, ON · FCP
We are seeking an exceptional Full Stack Engineer to join our Data Cognition Team at BMO Capital Markets. In this pivotal role, you will architect, develop, and implement innovative…
Added 11 days ago
Staff Product Engineer - Brand
Faire
Toronto, ON · Waterloo, ON
As a Staff Product Engineer on the Brand pillar, you will be responsible for helping teams execute on our hardest features, coaching engineers, and working alongside product, design, and…
Added 12 days ago
Lead Platform Engineer
RBC
Toronto, ON
Full-time
Are you interested in working as a Lead Platform Engineer on the Global Payments Platform and DevOps team in Technology & Operations at the Royal Bank of Canada?
Added 15 days ago
Lead Software Engineer
RBC
Toronto, ON
Full-time
As a Lead Software Engineer at RBC, you will play a key role in designing, developing, and delivering software solutions of high complexity. This role emphasizes independence, adaptability,…
Added 12 days ago
Lead Full Stack Developer
RBC
Toronto, ON
Full-time
At its core, this role requires excellent problem-solving skills and C#/.Net, Java, Python and full stack coding capability. This role will need to effectively communicate, collaborate, and…
Added 7 days ago
PowerBI Developer
CGI
Toronto, ON
Full-time
Commercial technology certifications, including Microsoft or Java.
Added 7 days ago
Cloud & AI Apps Solution Engineer
Microsoft
Calgary, AB
Full-time
…we invite you to join our team as a Cloud & AI Apps Solution Engineer for commercial customers at…
Added 7 days ago
Software Development Manager
EDealer
Canada
Full-time
…Director of Product and Engineering. This is a role for an engineer who leads, not a manager who used to build. You will lead a team of seven to eight experienced engineers who already own…
Added 8 days ago
Student, MarTech Software Engineer (Winter 2027)
Sun Life
Waterloo, ON · Sun Life Waterloo King
Full-time
The Digital Solutions team is looking for a Co-Op Marketing Technology (MarTech)Software Engineer to work with the MarTech development team to support delivering large-scale Content…
Added 8 days ago
Software Engineer, Data Acquisition
Nascent
Remote, Canada
Full-time · Remote
…in at least one major programming language (Go, Python, C++, Java, or similar) - the stack is primarily Rust, and prior Rust experience is a strong plus, but if you haven't written it…
Added 8 days ago
Senior Integration Engineer
Agiloft
Canada
Full-time
We are hiring a Senior Integration Engineer to build and productize integrations between Agiloft and strategic ISV partners. This is a hands-on engineering role with regular partner…
Added 8 days ago
Data Engineer
Loopio Inc.
Remote, Canada
$103,500 to $140,000 CAD / year
Full-time · Remote
We are looking for an experienced Data Engineer to build and support the delivery of data pipelines, used for analytics both internally by Loopio’s teams, embedded within the Loopio…
Added 7 days ago
Senior AI Engineer
Apptoza Inc.
Toronto, ON
Contract
We are looking for an experienced and highly motivated Senior AI Engineer to join Canada segment’s Technology Strategy team.
Added 7 days ago
Senior Java Software Engineer
Amaris Consulting
Montreal, QC
Full-time
We are seeking an experienced Senior Java Developer to join a growing Market Risk technology team. In this role, you will design, build, and enhance applications that support critical risk…
Added 7 days ago
Quality Engineer I
TD
Toronto, ON
Full-time
Hands-on experience in Java, GitHub and RestAssured
Added 8 days ago
Software Development Engineer Intern - Summer 2027 (CAN)
Amazon
Vancouver, BC
…tomorrow's technology. At Amazon, you'll grow into the high-impact engineer you know you can be, supported by a culture of learning and mentorship. Every day brings exciting new challenges…
Added 7 days ago
Growth Platform, Marketing Engineer
Faire
Toronto, ON
…partner engineering pod carrying its own roadmap. The Marketing Engineer builds those systems inside marketing, on Faire’s production stack, and enables marketers to then run…
Added 7 days ago
QA Automation Engineer
UST
Toronto, ON
Full-time
UST is searching for a skilled QA Automation Engineer to design, develop, and maintain automated test solutions that ensure the quality and reliability of web, mobile, and API applications.…
Added 7 days ago
Backend Engineer, Consumer
HelloFresh
Toronto, ON
We are looking for an engineer to help implement solutions & write beautiful code, working with various team members as we build out our consumer facing applications & the infrastructure…
Added 7 days ago
Senior Software Engineer – Full Stack (AI First)
Precisely International Jobs
Canada
We are seeking an experienced and technically strong Senior Software Engineer to join our Master Data Management (MDM) product line within Precisely’s Data Integrity Suite. In this role,…
Added 7 days ago
Java Software Engineer
Randstad Enterprise
Montreal, QC
Full-time
We are seeking a Java Engineer in the Firm Market Risk Technology team, you will design, build, and optimize high-performance Java systems powering the Firm Market Risk Platform. In this…
Added 7 days ago
Data Engineer II (Restaurant AI CoPilot)
OpenTable
Toronto, ON
As a Data Engineer on the Data Science team at OpenTable, you will design, build, and maintain robust data solutions that power diner features, partner integrations, and advanced AI…
Added 8 days ago
ETL Data Engineer - Assistant Vice President
Citi
Mississauga, ON
Full-time
The ETL Data Engineer is responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team.…
Added 7 days ago
Member of Technical Staff (General Software Engineer, Infrastructure)
Perplexity
Toronto, ON
$220,000 to $405,000 USD / year
Full-time
Strong software engineering skills in Python or other systems or backend languages such as Go, Rust, C++, or Java.
Added 8 days ago
Senior Data Engineer
Galent
Markham, ON
Contract

Closed listing

Amazon Science

Applied Scientist II, Alexa Daily Essentials Science and Analytics

Vancouver, BC, Canada

Job type: Full-time
Closing date: Oct 18, 2026
Posting language: English
Posted: Sep 18, 2026

This opening has closed.

The original listing is kept below for reference.

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Added 8 days ago
Applied Scientist II, Alexa Daily Essentials Science and Analytics
Amazon · Vancouver, BC, Canada

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Original job description

Archived listing. The details below describe a past opening.

Description

On the Alexa Daily Essentials Science and Analytics team, we build intelligence systems that power AI-driven experiences for customer-facing features used by hundreds of millions of people daily. Our team applies foundation models in novel ways - designing agentic systems that reason, plan, and act autonomously over complex data, and rigorously evaluating their performance so that every architecture decision is grounded in measured quality. We're not actively training foundation models. We're pushing the frontier of how they're applied - through agentic architectures, reinforcement learning, retrieval-augmented generation, and evaluation science.

As an Applied Scientist II, you will design agentic AI systems that autonomously detect, diagnose, and act on signals across Alexa's product surface. You'll build the evaluation science that validates these systems, prototype novel AI-powered features that create new value for customers, and apply reinforcement learning to improve agent behavior through outcome signals. You'll own science end-to-end - from rapid prototyping through production deployment - working directly with engineers and product leaders to ship systems that impact how millions of customers interact with Alexa daily. This is a role for a scientist who brings rigor to evaluation, creativity to invention, and pragmatism to delivery.

Key job responsibilities

Design and implement agentic AI systems - multi-step reasoning, tool use, planning, and orchestration - that autonomously surface intelligence and take action over complex, evolving data
Apply reinforcement learning techniques to improve agent routing, decision-making, and task resolution quality from outcome signals
Build evaluation and benchmarking frameworks - automated test suites, LLM-as-judge pipelines, competitive benchmarks, and regression detection across model versions and prompt strategies
Prototype and develop novel AI-powered features - information extraction, proactive recommendations, multi-agent collaboration - from concept through production launch
Build RAG pipelines and knowledge retrieval systems that ground agent reasoning in trusted data
Design and execute experiments end-to-end - hypothesis generation, causal analysis, and results interpretation that directly shape product roadmaps
Communicate findings to technical and non-technical audiences - influencing architecture decisions, model selection, and product strategy through rigorous evaluation

A day in the life

You might start by analyzing reward signal distributions from your latest RL experiment on agent routing - identifying where the policy improved and where exploration is still needed. Mid-morning, you prototype a new cross-feature experience, testing whether extraction models can reliably surface actionable items from customer content. After lunch, you run your eval suite against a new model version - comparing benchmark scores across reasoning depth, tool-use reliability, and output consistency to inform an architecture decision. Later, you pair with an engineer to add a new capability to an agent's tool registry, then validate it doesn't degrade downstream quality. You end the day designing an A/B test for a proactive feature your team is launching.

About The Team

We're a small, high-ownership team building agentic intelligence systems for Alexa - one of the world's most widely used AI products, reaching hundreds of millions of customers across devices, languages, and contexts. We apply foundation models in novel ways: systems that reason over temporal data, learn from outcomes through reinforcement, autonomously detect regressions, and surface insights that previously required weeks of manual analysis. Our scientists prototype new features, benchmark rigorously, and ship from research through production. If you want to build at the frontier of applied AI - agentic systems, reinforcement learning, evaluation science - with real users and real impact at Alexa scale, this is the team.

Basic Qualifications

3+ years of building machine learning models for business application experience
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience programming in Java, C++, Python or related language
Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications

Preferred Qualifications

Experience in professional software development
Experience creating novel algorithms and advancing the state of the art
Experience designing or working with agentic AI systems (tool-use, multi-step reasoning, RAG, multi-agent orchestration)
Experience building automated evaluation frameworks or LLM-as-judge systems

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

About employer

More about this job

Responsibilities

Design and implement agentic AI systems that autonomously reason, plan, and act on complex data while applying reinforcement learning to improve agent behavior. Build rigorous evaluation frameworks and benchmarking pipelines to validate system performance and inform product strategy.

Requirements

Requires a PhD or a Master's degree with 4+ years of experience in CS, ML, or a related field, along with 3+ years of experience building machine learning models. Candidates must be proficient in programming languages like Python, Java, or C++ and have a track record of research or patents.

Skills

Machine learning
Reinforcement learning
Deep learning
Natural language processing
Agentic AI
Python
Java
C++
RAG
Evaluation science
Benchmarking
LLM-as-judge
Data analysis
Prototyping
Causal analysis

Benefits

Health insurance
Medical
Dental
Vision
Prescription
Basic life & AD&D insurance
Deferred profit sharing plan
Paid time off
Restricted stock units

Visa sponsorship

Not detected in the job text

Keywords

Applied Scientist
Alexa
Agentic AI
Foundation models
Reinforcement learning
Retrieval-augmented generation
RAG
Evaluation science
Machine learning
Deep learning
Natural language processing
Python
Java
C++
Benchmarking
LLM-as-judge
Causal analysis
Prototyping
Production deployment
Multi-agent orchestration
Tool use
Reasoning
Data analysis
Product strategy
Algorithm design

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