Jobs in Canada

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Added 7 hours ago
QC
DSP Application Engineer, Principal
Qualcomm Canada ULC
Ottawa, ON
- On-site
We are seeking a Principal DSP Application Engineer to drive customer adoption and deployment of next-generation DSP in the Optical Transceiver and Active Electrical Cable (AEC) solutions…
Added 15 hours ago
Strategy Advisor, Identity & Access Management
Questrade
Toronto, ON
…accountable for the identity control environment meeting business, security and regulatory requirements in each QFG entity, and for the vendor decisions, governance and evidence that keep…
Added 15 hours ago
Principal Software Engineer
Questrade
Toronto, ON
The Principal Software Engineer defines and evolves the target architecture for their domain across Questrade's products, spanning front-end applications (React Native, ReactJS) and…
Added 15 hours ago
Principal Software Engineer
Questrade
Canada
We’re looking for our next Principal Software Engineer, Money Movement.
Added 21 hours ago
A
Senior Principal Engineer
Autodesk
AB · Alberta, Canada
- Full-time
GET Engineering is seeking an experienced Senior Principal Engineer – AI and Engineering Excellence to lead the technical strategy and evolution of our cloud platform, developer experience,…
Added 23 hours ago
Solution architect, digital
National Money Mart Company
Toronto, ON
You will partner with engineering, product, enterprise architecture, security, and business stakeholders to define target-state architecture, guide delivery teams through implementation,…
Added 23 hours ago
AT
Vulnerability Researcher - Global (All Levels)
AMT Trend Micro Incorporated (USA)
Canada
- Full-time
TrendAI is a leader in AI security. We not only delivered the first open-weight, cybersecurity-focused large language model, but also the industry’s first security companion agent evaluated…
Added 23 hours ago
AI
Principal Systems Design Engineer.
AMD, Inc.
Markham, ON
- Full-time
Job Title: Edge and Enterprise Solution Architect & Systems Engineer
Added 23 hours ago
H
Principal AI/ML Engineer
HPE
BC
- Full-time
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications…
Added 23 hours ago
HP
Principal AI/ML Engineer
Hewlett Packard Enterprise
BC
- Full-time
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications…
Added 23 hours ago
HP
Principal AI/ML Engineer
Hewlett Packard Enterprise
BC
- Full-time
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications…
Added 23 hours ago
HP
Principal AI/ML Engineer
Hewlett Packard Enterprise
BC
- Full-time
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications…
Added 23 hours ago
AI
Principal Software Development Engineer
AMD, Inc.
Vancouver, BC
- Full-time
Proven track record as a principal-level full-stack or backend-leaning software engineer in cloud-deployed, data-intensive web applications.
Added 23 hours ago
Principal Java Developer - Distributed Systems, Serverless - Elasticsearch
Elastic
Canada
…private information more effectively - Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of…
Added 23 hours ago
Chief Technology Product Officer
Groom & Associates
Waterloo, ON
- Technically credible: Able to challenge architectural and engineering decisions without needing to be the organization's principal engineer.
Added 23 hours ago
Staff Frontend Engineer
KEV Group
Toronto, ON
…payments, accounting, and reporting, where reliability and security matter. Headquartered in Toronto with teams across North America, we are scaling quickly and investing deeply in…
Added 23 hours ago
A
Principal Embedded Engineer, AI Solutions
Autodesk
BC · ON
- $131,000 to $191,400 CAD / year
- Full-time
- On-site
Autodesk Technical Advisory is seeking a highly technical and customer-focused Embedded Engineer, AI Solutions to join our new Embedded Engineering (forward-deployed engineering) team.
Added 23 hours ago
M
Principal Software Engineer
Microsoft
Vancouver, BC
- $142,400 to $257,500 CAD / year
- Full-time
- On-site
As a Principal Software Engineer on the Copilot evaluation team, you will own the technical vision for a platform built AI-first and agent-first: one where autonomous agents are not only…
Added 23 hours ago
M
Principal Software Development Engineer - XBOX Product Growth
Microsoft
Canada
- $142,400 to $257,500 CAD / year
- Full-time
- On-site
…React, XAML) together with production services (C#, .NET) on cloud infrastructure such as Microsoft…
Added 23 hours ago
RB
Director & Principal Engineer, AI/ML & MLOps Platform
Royal Bank of Canada
Vancouver, BC
- Full-time
We’re seeking a Director & Principal Engineer, AI/ML & MLOps Platform, who brings a unique blend of deep technical expertise and strategic leadership. This is a hands-on engineering…
Added 23 hours ago
Principal Product Manager, Security Pricing and Packaging (Serverless) - Security Solutions
Elastic
Canada
We're looking for a Principal Product Manager to own how Elastic Security is packaged, priced, and sold on Elastic Cloud Serverless.
Added 23 hours ago
E
EverCommerce - Staff Engineer
Evercommerce
ON
- $160,000 to $190,000 CAD / year
- Full-time
EverCommerce is seeking a versatile, business-fluent Staff Full Stack Engineer & Enterprise Solutions Architect to serve as a technical anchor and engineering mentor within our Enterprise…
Added 23 hours ago
EL
Principal Security Engineer, Security Platform
Equinix LLC
Toronto, ON
- Full-time
- Hybrid
Design and build integrations, plugins, and hooks across the security ecosystem (IAM, app sec, endpoints, cloud, data protection)
Added 23 hours ago
Senior Customer Engineer - Calgary, AB
Cloudflare
Calgary, AB
The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap…
Added 23 hours ago
C
Solutions Designer, Splunk Montreal, Quebec, Canada
Cisco
Montréal, QC
- Full-time
Splunk is seeking a highly skilled and strategic Senior Solutions Engineer to join our Eastern Canada team. Splunk, a Cisco company, is building a safer and more resilient digital world…

Equinix

Senior AI Engineer. Innovation and R&D

Toronto, ON, Canada

Full-time

Apply on equinix.wd1.myworkdayjobs.com About employer

Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English
Posted: Nov 12, 2026

Original job description

Who are we?

Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet.

A place where tech thinkers and future builders turn bold ideas into breakthrough experiences, we welcome your unique perspective.Help us challenge assumptions, uncover bias, and remove barriers - because progress starts with fresh ideas. You’ll find belonging, purpose, and a team that welcomes you - because when you feel valued, you’re empowered to do your best work.

Job Summary

Researches, prototypes and proves new GenAI and agentic ideas that raise Equinix’s internal productivity and create capabilities for external products. Works in the AI Innovation and R&D pod, running experiments from hypothesis to working prototype, measuring each against quality, cost and business value, and handing validated ideas to product and platform teams as production-ready designs. Innovation areas include small language models (SLMs) and open-weight model customization, token economics, agent and workflow automation, and other emerging AI techniques.

Knowledge and Application

Applies deep working knowledge of modern AI techniques: LLM and SLM development, parameter-efficient tuning, distillation, quantization, retrieval, agent orchestration, and tool-use and function-calling models. Understands how model size, context length, caching and routing drive token cost and latency. Reads and applies current research, and benchmarks open-weight and commercial models on the same tasks. Applies established engineering and model-governance practices and proposes improvements.

Complexity and Problem Solving

Works on open-ended problems where the right approach is not yet known. Frames each idea as a testable hypothesis with success metrics, selects methods, datasets and evaluation criteria, and decides with evidence whether to scale, change or stop. Resolves tradeoffs among quality, cost, latency, security and operational complexity. Work is reviewed at design and milestone gates.

Collaboration and Interaction

Partners with Product, Platform, InfoSec, Legal, Finance and business teams to find high-value use cases. Explains results and tradeoffs to senior and non-technical stakeholders. Advises teams on which AI approach fits their problem. Accountable through the pod for delivery of innovation targets.

Responsibilities

Innovation and prototyping

Identify and test GenAI and agentic ideas for internal productivity and external product use cases
Build prototypes quickly, validate them with business teams against defined success metrics, and hand off production-ready designs and reference implementations
Track new models, techniques and tools; document which apply to Equinix and which do not

Small language models and model customization

Benchmark open-weight and commercial models on shared task datasets: quality, latency, cost, license terms
Fine-tune, distill and quantize models for defined tasks, including tool-use and agentic behavior, and show measured gains over the baseline
Feed results into the recommended-model catalogue owned by the Principal PM

Token economics and inference

Build cost models per agent and workflow: tokens, calls, caching, compute and cost per completed task
Test cost controls: model routing, context compression, caching, batching and budget limits
Optimize serving (e.g., vLLM, SGLang) with the platform team

Evaluation and rigor

Make experiments reproducible: versioned data, code, configs and results
Gate each prototype’s promotion on evaluation thresholds, using the Agent Intelligence evaluation platform
Turn failures and feedback into tuning data, regression tests or design changes

Responsible practice

Document each model or solution: intended use, data provenance, limitations and evaluation results
Apply license, data-boundary and security requirements with InfoSec and Legal

Qualifications

Required

5–8 years in ML or software engineering, including 3+ years in LLM or deep-learning development
Track record of taking AI ideas from prototype to production or to a documented decision to stop
Hands-on experience with at least one of: fine-tuning or parameter-efficient tuning (e.g., LoRA), distillation, quantization, agent or retrieval systems
Experience building evaluation harnesses and using results to make decisions
Ability to build cost and performance models for AI workloads
Proficiency in Python and PyTorch, and with Hugging Face tooling
Clear written and verbal communication with non-technical stakeholders

Nice to have

Experience with inference and serving (e.g., vLLM, SGLang), batching and GPU optimization
Preference optimization or reinforcement learning, and tool-use or function-calling fine-tuning
Experience with multi-agent systems, model routing and MLOps
Experience with open-weight model licensing, model governance or responsible-AI programs
Published research, patents or open-source contributions
BS or MS in computer science, machine learning or a quantitative field, or equivalent experience

What success looks like

Each quarter, a set of innovation ideas is tested, with a documented scale, change or stop decision for each
Each tested workflow has a measured cost per task and a documented model choice
Every promoted prototype has an evaluation record and documentation

The targeted pay range for this position in the following location is / locations are:

Canada - Toronto Office TRO : 142,000 - 212,000 CAD / Annual

United States - Redwood City Office GHQ : 190,000 - 286,000 USD / Annual

Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location.The pay range shown is based on our compensation structure in place at the time of posting and may be updated periodically based on business needs. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training.

The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position.

Equinix Benefits

As an employee, you become important to Equinix’s success. We ensure all your benefits are in line with our core values: competitive, inclusive, sustainable, connected and efficient. We keep them competitive within the current marketplace to ensure we’re providing you with the best package possible. So, wherever you are in your career and life, you’ll be able to enhance your experience and bring your whole self to work.

Employee Assistance Program: An Employee Assistance program is available to all employees.


US Benefits: - Insurance: You may enroll in health, life, disability and voluntary plans that are designed for you and your eligible family members. - Retirement: You and Equinix may contribute to a retirement plan to help you plan for your financial future. - Paid Time Off (PTO) and Paid Holidays: You will receive an accrued amount of PTO each pay period along with various paid holidays for you to rest and recharge. Eligibility requirements apply to some benefits. Benefits are subject to change and may be subject to specific plan or program terms.

Canada Core Benefits: - Insurance: You may enroll in healthcare coverage that is designed to complement the provincial healthcare system, along with life, disability and optional benefit plans that are designed for you and your eligible family members. - Retirement: You may also enroll in Equinix-sponsored retirement or savings plans: Defined Contribution Pension Plan (DCPP), Group Retirement Savings Plan (RRSP) and Tax-Free Savings Plan (TSFA). - Vacation and Paid Holidays: Equinix offers both vacation and personal time, along with various paid holidays for you to rest and recharge. Eligibility requirements apply to some benefits. Benefits are subject to specific plan or program terms, and to change at Equinix discretion.


Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form.

Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.

We use artificial intelligence in our hiring process. Learn more here.


This posting is a new position within our organization.


Apply on equinix.wd1.myworkdayjobs.com About employer

More about this job

Responsibilities

Research, prototype, and validate GenAI and agentic ideas to improve internal productivity and external product capabilities. Collaborate with cross-functional teams to translate validated experiments into production-ready designs and reference implementations.

Requirements

Requires 5-8 years of experience in ML or software engineering, with at least 3 years focused on LLM or deep-learning development. Candidates must demonstrate proficiency in Python, PyTorch, and the ability to take AI concepts from prototype to production.

Skills

Python
PyTorch
LLM development
Deep learning
Fine-tuning
Parameter-efficient tuning
Distillation
Quantization
Agent orchestration
Retrieval systems
Hugging Face
GenAI
Token economics
Model governance
MLOps
Inference optimization

Benefits

Health insurance
Life insurance
Disability insurance
Retirement plan
Paid time off
Paid holidays
Employee assistance program

Visa sponsorship

Not detected in the job text

Keywords

GenAI
LLM
SLM
Agentic systems
Python
PyTorch
Hugging Face
LoRA
vLLM
SGLang
Token economics
Model distillation
Quantization
Retrieval-augmented generation
MLOps
Model governance
Responsible AI
Inference
GPU optimization
Reinforcement learning
Data provenance
Prototyping
R&D
Software engineering
Machine learning
Cloud infrastructure
Latency optimization
Cost modeling
Function calling
Model routing

Seniority

Senior

Perks

Generous paid time off
Retirement plan
Performance bonus
Stock or equity
Wellness program

Tools

PyTorch
Hugging Face
vLLM
SGLang

Languages

English

Fields of study

Computer science
Machine learning
Quantitative field

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Work requirements

Jobs in Canada