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Added 1 month ago
I
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
- Full-time
Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch).
Added 1 month ago
I
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
- Full-time
Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch).
Added 1 month ago
I
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
- Full-time
Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch).
Added 1 month ago
C
Intermediate Python Engineer
Citi
Mississauga, ON
- Full-time
4+ years of hands-on experience applying deep professional experience in Python for backend development, with the ability to design and build scalable, high-performance systems.
Added 1 month ago
AI Engineer
NetBrain
Toronto, ON
Added 1 month ago
Actuarial Consultant - Alberta Auto Pricing
Wawanesa Insurance
Toronto, ON · Winnipeg, MB · Wawanesa, MB · Moncton, NB · Thunder Bay, ON · Ottawa, ON · Kitchener, ON · Montreal, QC · Vancouver, BC · Lloydminster, AB · Dartmouth, NS · Edmonton, AB · Calgary, AB · Lethbridge, AB · North York - Toronto, ON (Hybr, ON
Proficient with Excel, SQL, R, Python, Radar and/or other related software/programming languages/actuarial software.
Added 1 month ago
CF
Investment Analyst
CI Financial
Toronto, ON
- Full-time
Experience with Python, SQL, VBA, Power BI, or similar tools.
Added 1 month ago
Lead Data Engineering and Analytics with Axiom
Scotiabank
Toronto, ON
Excellent understanding of developer life cycle and enterprise developer tools
Added 1 month ago
A
Python Developer
Ascendion
Toronto, ON
- Full-time
Significant experience with at least one dynamically typed, object-oriented programming language ( preference for Python).
Added 1 month ago
RF
Rigging Lead - Permanent
Rodeo FX
Montreal, QC
- Full-time
Develop or adapt Python/PySide tools to automate repetitive tasks.
Added 1 month ago
T
Full-Stack Engineer, AI Platform
Thumbtack
Remote, Canada
- Full-time
- Remote
Solid backend engineering ability. We use Go, PHP, and Python, and we expect strong engineers to pick up a new language.
Added 3 months ago
V
Software Developer / Développeur(-euse), logiciel
Vention
Montreal, QC
- Full-time
Solid backend development experience (Python or similar), with working knowledge of frontend development (React or similar)
Added 1 month ago
AC
Administrateur·trice systèmes Unix/Linux
ALTEN Canada
Montreal, QC
- Full-time
…développement d’API pour automatiser les opérations IT (expertise Python…
Added 1 month ago
WI
Actuarial Consultant - Alberta Auto Pricing
Wawanesa Insurance
Calgary, AB
- Other
Proficient in Excel, SQL, R, Python, and/or other actuarial software and programming languages.
Added 1 month ago
ST
C ++ Developer
Sapsol Technologies Inc
Remote, Canada
- Remote
We are seeking a highly experienced Senior Systems Engineer - C/C++ Full Stack Developer to lead a strategic modernization initiative for a mission-critical Store Management System that has…
Added 1 month ago
GS
Consultant, Technical Solutions
Grantek Systems Integration
Burlington, ON
- Full-time
Perform scripting and development using Python and SQL, minimizing unnecessary customization
Added 1 month ago
V
Staff Software Engineer
VGS
Canada
- Full-time
…consistent modern stack (e.g. AWS, Kubernetes, Java, TypeScript, Python) and world-class AI-augmented SDLC tooling. We strip away the friction so you can focus on the problems that demand…
Added 1 month ago
VC
Ingénieur(e) de données principal(e) | Senior Data Engineer
Valsoft Corporation
Montreal, QC · Saint-Laurent, Quebec
- Full-time
Advanced SQL and strong Python (or a comparable language), with production engineering habits - version control, testing, code review, CI/CD.
Added 1 month ago
Actuarial Manager, GCS Pricing
Aviva
Markham, ON
Strong problem solving and excellent data analytical skills (SAS, R, Python, etc.).
Added 1 month ago
X
Senior Photonics Engineer - Experimental Nonlinear Optics
Xanadu
Toronto, ON
- Full-time
Programming: Proficiency in Python for data acquisition/analysis and experience with version control.
Added 1 month ago
GL
Senior IT Risk Analyst
goeasy Ltd.
Mississauga, ON
- Full-time
Familiarity with Power BI, SQL, Python, AI-enabled tools, or similar technologies is preferred.
Added 1 month ago
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Applied Scientist II, Alexa Daily Essentials Science and Analytics
Amazon
Vancouver, BC
- Full-time
Experience programming in Java, C++, Python or related language
Added 1 month ago
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Senior Cyber Defence Analyst
nesto
Canada
- Full-time
Scripting/automation experience (Python, SOAR platforms) is a strong plus
Added 1 month ago
LE
Agentic AI Researcher
LG Electronics
Toronto, ON
- Full-time
Added 1 month ago
T
AI Pre-Sales Consultant
Thinkpivot
Toronto, ON
- Full-time
Hands-On Coding: Strong proficiency in Python. You must be comfortable writing production-grade code, not just managing configurations or reviewing pull requests.

Amazon

Applied Scientist II, Alexa Daily Essentials Science and Analytics

Vancouver, BC, Canada

Full-time

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Job details

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

Original job description

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

Company - Amazon Development Centre Canada ULC

Job ID: A10553157

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More about this job

Responsibilities

Design and implement agentic AI systems that autonomously reason, plan, and act over complex data while applying reinforcement learning to improve agent behavior. Build rigorous evaluation frameworks and benchmarking pipelines to validate system performance and inform architecture decisions from concept to production.

Requirements

Requires 3+ years of machine learning experience and a Master's or PhD in a relevant field. Proficiency in Python, Java, or C++ is essential, along with a strong background in foundation models, reinforcement learning, or NLP.

Skills

Machine learning
Reinforcement learning
Deep learning
Natural language processing
Agentic AI
Python
Java
C++
Retrieval-augmented generation
Evaluation science
Benchmarking
Prototyping
Causal analysis
System architecture
Data 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
Evaluation science
Machine learning
Deep learning
Natural language processing
Python
Java
C++
Benchmarking
LLM-as-judge
Causal analysis
Prototyping
System architecture
Data analysis
Product strategy
Multi-agent collaboration
Information extraction
Regression detection
Tool use
Reasoning
Planning
Orchestration
A/B testing
Software development
Algorithm design

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