toronto, on applied machine learning scientist i Jobs – 79 Openings This Week

Quantum Applied Scientist, Simulation Methods and Tools, AWS Center for Quantum Computing
Amazon Development Centre Canada ULC —Toronto, ON
- $149,300–$249,300 a year
- Full-time
- Bar
- Doctoral degree
- Engineering
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- Dental care
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Bombardier —Mississauga, ON
- Microsoft Access
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Senior Data Scientist, Vice President - Corporate Functions Technology
State Street —Toronto, ON
- Full-time
- Computer Science
- Engineering
- Master's degree
Senior Data Scientist II - Core Delivery
Instacart —Toronto, ON
- $192,000–$202,500 a year
- Remote
- Doctoral degree
- Master's degree
- SQL
Quick apply
3d
Sr Data Scientist / Power Systems Analyst
Deloitte —Toronto, ON
- $72,000–$138,000 a year
- Hybrid work
- Azure
- Engineering
- Data analysis skills
9d
Vector Distinguished Postdoctoral Fellow
Vector Institute —Toronto, ON
- Doctoral degree
- Computer Science
- Engineering
Quick apply
Staff Platform Developer, Backend (Service OS)
Dialogue —Toronto, ON
- Full-time
- Hybrid work
- Bilingual
- English
- APIs
- Dental care
- Employee assistance program
AI/ML Engineer (Senior Associate) - Remote
Huron Consulting Services LLC —Toronto, ON
- $130,000–$188,800 a year
- Full-time
- Remote
- Azure
- Computer Science
- Engineering
- Dental care
- Vision care
Quick apply
12h
Senior Data Scientist - Operation Research
Tiger Analytics Inc. —Toronto, ON
- Full-time
- Remote
- Doctoral degree
- Computer Science
- Data analysis skills
Quick apply
11d
AI Architect, Manager
Avanade —Toronto, ON
- $145,000–$172,000 a year
- Full-time
- Azure
- Doctoral degree
- Computer Science
Product Manager, Advertiser Supplier Experience
Wayfair —Toronto, ON
- $152,313–$178,802 a year
- Full-time
- Hybrid work
- Schematics
- Machine learning
- APIs
- Designated paid holidays
- Disability insurance
Senior Product Manager
Royal Bank of Canada —Toronto, ON
- Full-time
- Presentation skills
- Machine learning
- Product management
11d
Director - Total Fund Management, Investment Analytics
Ontario Teachers' Pension Plan —Toronto, ON
- Full-time
- Management
- Master's degree
- Bachelor's
Manager of Data & AI
JMIR Publications Inc —Toronto, ON
- $135,000–$155,000 a year
- Azure
- Management
- Computer Science
- Dental care
- Life insurance
Quick apply
Lead Python Full Stack Data Engineer - Vice President
Citi —Mississauga, ON
- $120,800–$170,800 a year
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
Principal Product Manager
Royal Bank of Canada —Toronto, ON
- Full-time
- Computer Science
- Engineering
- Master's degree
Senior Director, ATOM Engineering
Royal Bank of Canada —Toronto, ON
- Full-time
- Management
- Doctoral degree
- Computer Science
12d
Senior Field Engineer - Canada
IonQ —Toronto, ON
- Doctoral degree
- Computer Science
- Sales
- Designated paid holidays
- Dental care

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Quantum Applied Scientist, Simulation Methods and Tools, AWS Center for Quantum Computing

Amazon Development Centre Canada ULC -
Toronto, ON

Apply Now

Job details

Full-time
$149,300–$249,300 a year
13 hours ago

Qualifications

Rust (programming language)
Doctoral degree
PyTorch
Engineering
Java
Master's degree
AWS
C++
Machine learning
Software development
Communication skills
Python

Full job description

DESCRIPTION

The Amazon Web Services (AWS) Center for Quantum Computing (CQC) in Pasadena, CA, is looking to hire an Applied Scientist focused on development of methods and tools for simulating quantum processor devices. In this role, you will develop and apply numerical methods and software tools that address simulation problems in quantum processor design and characterization. You will be joining a multi-disciplinary team of scientists, engineers, and technicians, all working at the forefront of quantum computing and will have an opportunity to make an enduring impact on the development of fault-tolerant quantum computers.

The ideal candidate should have a track record of significant technical contributions to scientific software packages and have deep expertise in developing and applying numerical methods to simulate quantum many-body systems in the context of quantum processor development.

Key job responsibilities
Simulations are a critical tool at the CQC. As an applied scientist in this role, you will help develop high quality software tools and numerical methods for simulating our devices at the circuit-QED level, allowing us to accurately and efficiently compute static and dynamical properties of our devices, such as frequencies, coupling strengths, and gate error budgets. The tools you build will directly support device development work done by CQC scientists, such as device theorists, designers, and experimentalists, on adjacent teams. You will also collaborate with these scientists to research and investigate simulation-based solutions to problems in quantum processor design and characterization, communicating your findings and delivering recommendations and examples of best practice.
You should thrive in ambiguous environments that require you to tackle problems that have not been solved before. You are able to apply strong engineering principles while maintaining scientific rigor. Your excellent written and verbal communication skills enable you to explain your work to software engineers, or scientists with different backgrounds to your own.

A day in the life

Collaborate with designers, device theorists, and measurement scientists to identify high-impact modeling and simulation problems in quantum processor design and characterization
Research and develop methods and algorithms that could enable or improve our workflows
Write up your findings and discuss them with scientists and software developers
Develop and test high-quality implementations, demonstrating them for target applications
Stay on top of the latest developments in software and algorithms
Attend regular seminars and discussions with Caltech scientists

About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

Export Control Requirement:
Due to applicable export control laws and regulations, candidates must be either a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be able to obtain a U.S export license. If you are unsure if you meet these requirements, please apply and Amazon will review your application for eligibility.

BASIC QUALIFICATIONS

PhD, or Master's degree and 5+ years of science, technology, engineering or related field experience
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience with programming languages such as Python, Java, C++
Experience implementing algorithms using both toolkits and self-developed code
Experience with any of the following: modeling quantum devices using circuit Quantum Electrodynamics, numerical simulation of quantum many-body systems, application of machine-learning methods and tools to science or engineering problems

PREFERRED QUALIFICATIONS

Experience in professional software development
Experience applying theoretical models in an applied environment
Fluency in Python, Julia, C++, or Rust
Experience with QuTiP, QuantumOptics.jl, scQubits, SQcircuit, or related software packages
Experience with using JAX, PyTorch, or other python-based solutions for automatic differentiation or GPU acceleration of self-developed linear algebra code
Experience in any of the following areas: quantization of superconducting circuits, simulation of quantum real-time dynamics under fast driving, disorder and localization in quantum many-body systems, variational quantum states such as tensor networks, Hamiltonian inference, characterization and calibration of quantum processors, surrogate modeling (e.g. using gaussian processes, neural networks) of quantum devices

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, ON, Toronto - 149,300.00 - 249,300.00 CAD annually

Apply Now

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applied machine learning scientist i jobs in toronto, on

Quantum Applied Scientist, Simulation Methods and Tools, AWS Center for Quantum Computing

Intern, Supplier Management (Fall 2026)

Senior Data Scientist, Vice President - Corporate Functions Technology

Senior Data Scientist II - Core Delivery

Sr Data Scientist / Power Systems Analyst

Vector Distinguished Postdoctoral Fellow

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AI/ML Engineer (Senior Associate) - Remote

Senior Data Scientist - Operation Research

AI Architect, Manager

Product Manager, Advertiser Supplier Experience

Senior Product Manager

Director - Total Fund Management, Investment Analytics

Manager of Data & AI

Lead Python Full Stack Data Engineer - Vice President

Principal Product Manager

Senior Director, ATOM Engineering

Senior Field Engineer - Canada

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