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Machine Learning Engineer jobs in Canada

Senior Machine Learning Engineer II - AI Special Projects

Instacart

Canada
Remote
CAD 203,000 - 225,000
17 days ago
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Machine Learning Engineer (GenAI, Toronto)

GPTZero

Toronto
On-site
CAD 80,000 - 100,000
22 days ago

Senior Machine Learning Engineer, Pricing & Growth

DoorDash Canada

Toronto
On-site
CAD 120,000 - 232,000
23 days ago

Développeur.se en apprentissage automatique / Software Developer - (AI & ML) - Battlefield

Electronic Arts

Montreal (administrative region)
On-site
CAD 80,000 - 100,000
2 days ago
Be an early applicant

Senior Data Engineer - Remote / Telecommute

Cynet systems Inc

Edmonton
Remote
CAD 80,000 - 110,000
2 days ago
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Summer 2026 Student – Data Analyst, Personal Banking

RBC

Toronto
On-site
CAD 40,000 - 50,000
2 days ago
Be an early applicant

Data Scientist - QuantumBlack, AI by McKinsey

McKinsey & Company

Southwestern Ontario
On-site
CAD 100,000 - 125,000
Yesterday
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Senior Data Scientist (Remote from Canada)

Medium

Canada Creek
Remote
CAD 90,000 - 120,000
2 days ago
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Senior Data Scientist - Optimization

Tiger Analytics

Canada
Remote
CAD 100,000 - 130,000
2 days ago
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Data Analyst

Medavie

San Juan de Terranova
On-site
CAD 60,000 - 80,000
2 days ago
Be an early applicant

Senior data analyst

Société Financière Manuvie

Southwestern Ontario
Hybrid
CAD 109,000 - 160,000
2 days ago
Be an early applicant

data analyst - informatics and systems

Derme&Co.

Montreal
On-site
CAD 45,000 - 60,000
2 days ago
Be an early applicant

Lead Azure Data Engineer

Insight Global

Toronto
On-site
CAD 100,000 - 120,000
2 days ago
Be an early applicant

Machine Learning Engineer, Mapping

Lyft

Toronto
On-site
CAD 118,000 - 149,000
30+ days ago

Senior Machine Learning Engineer

HRB

Toronto
On-site
CAD 100,000 - 130,000
30+ days ago

Senior Machine Learning Engineer

Tubi Tv

Toronto
Hybrid
CAD 100,000 - 130,000
30+ days ago

RQ09177 - Machine Learning Engineer - Senior

Rubicon Path

Toronto
On-site
CAD 100,000 - 130,000
30+ days ago

Senior Machine Learning Engineer, Mapping

Lyft

Toronto
Hybrid
CAD 149,000 - 187,000
30+ days ago

Senior Machine Learning Engineer, Recommendations

Lyft

Toronto
On-site
CAD 149,000 - 187,000
30+ days ago

Principal Machine Learning Engineer

Tubi Tv

Toronto
Hybrid
CAD 130,000 - 170,000
30+ days ago

Senior Software Engineer, Machine Learning

Medium

Chatsworth
On-site
CAD 155,000 - 190,000
30+ days ago

Senior Machine Learning Engineer

Starboard Recruitment

Canada
Remote
CAD 100,000 - 150,000
30+ days ago

Principal/Senior Principal Machine Learning Engineer, Generative AI

Autodesk

Vancouver
Hybrid
CAD 161,000 - 237,000
30+ days ago

Machine Learning Engineer, Predictive Maintenance

MaintainX

Toronto
On-site
CAD 90,000 - 120,000
30+ days ago

Staff Machine Learning Engineer - Message Security Detection

Abnormal Security

Canada
On-site
CAD 110,000 - 150,000
30+ days ago

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Senior Machine Learning Engineer II - AI Special Projects
Instacart
Remote
CAD 203,000 - 225,000
Full time
17 days ago

Job summary

A grocery delivery service is seeking a Technical Lead for its AI Special Projects team in Canada. You will drive innovation in AI solutions, focusing on personalized content and recommendation systems. The role demands expertise in Generative AI technologies and machine learning, alongside excellent communication skills for stakeholder engagement. This position offers remote flexibility alongside a competitive salary range of CAD $203,000 – $225,000, emphasizing a collaborative, innovation-driven environment.

Benefits

Market-competitive compensation
New hire equity grants
Flexible work environment

Qualifications

  • Expertise in Generative AI technologies and prompt engineering.
  • Strong background in traditional machine learning and deep learning.
  • Professional experience building and deploying data pipelines.

Responsibilities

  • Define business challenges and design AI-first solutions.
  • Lead development of personalized content and recommendation systems.
  • Drive end-to-end software development of AI systems.

Skills

Generative AI expertise
Machine learning fundamentals
SQL/Spark
Communication skills
Innovation-driven mindset

Tools

PyTorch
TensorFlow
AWS
GCP
Job description

We're transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

Instacart is a Flex First team

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.

Overview

AI Special Projects is a newly formed, agile team driving the next wave of innovation at Instacart. The team’s charter is to reimagine our core consumer experience with AI. We are tackling some of the company’s biggest growth bets, including generative recommendation systems, hyper-personalized marketing content, and unique customer experiences such as personalized meals. Additionally, we are paving the way for AI-native development across the company by driving advancements in event-driven architectures and other paradigms that will impact a broad range of applications.

We build with a modern, AI-native Python stack with minimal legacy tech debt. This empowers us to move quickly, experiment, and focus on pursuing the highest-impact opportunities.

As a technical lead on the team, you'll play a pivotal role in shaping the future of Instacart's AI platform offerings. This role provides the opportunity to elevate AI at Instacart by applying advanced industry architectures, innovating upon them, and deploying them to improve experiences for our customers and retailers.

From Day 1, you will arrive as a leader on the team with significant scope and influence. This includes contributing through your product mindset, technical vision, strong execution, and mentorship. If a culture of bottom-up innovation and deep ownership resonates with you, we’re excited to meet you!

About the Job

In this role, you will:

  • Build the team vision: Partner with cross-functional leaders to define key business challenges and design AI-first solutions that unlock substantial value for customers and stakeholders.
  • Drive hands‑on execution: Lead the development of personalized content and recommendation systems by leveraging a mix of generative and traditional machine learning architectures to drive core business outcomes.
  • Deploy AI systems at scale: Drive end‑to‑end software development, including building ML services, agentic workflows, managing experiment lifecycles, and deploying production‑ready AI solutions at scale.
  • Innovate: Stay at the cutting edge of AI innovation by conducting literature reviews and exploring novel paradigms in recommendation systems (RecSys). Identify opportunities for customization and apply these advancements to meet Instacart’s unique needs.
  • Elevate the team: Mentor and guide junior team members, fostering learning, engagement, and technical growth within the team.
About You

Minimum Qualifications:

  • Expertise in Generative AI technologies, including prompt engineering, model fine‑tuning, and familiarity with emerging AI trends and AIQA processes.
  • Strong background in traditional machine learning and deep learning fundamentals, with hands‑on experience building efficient models using frameworks like PyTorch or TensorFlow.
  • Professional software development skills, including building data pipelines (SQL/Spark), managing CI/CD workflows, and deploying models into production environments.
  • Product‑focused mindset with a bias for action and proven ability to define and solve complex business problems through cross‑functional collaboration.
  • Exceptional communication skills, with the ability to influence stakeholders and translate technical insights into actionable business strategies.
  • An innovation‑driven mindset, rooted in curiosity and a passion for pushing the boundaries of applied AI.
Preferred Qualifications
  • Experience building scalable ranking and recommendation systems.
  • Application of ML models within an e-commerce environment.
  • Cloud infrastructure expertise (e.g., AWS, GCP), particularly in managing large GPU workloads for training and inference.
  • Demonstrated success as a technical leader, with the proven ability to guide teams toward strategic, high‑impact outcomes.
  • Technical influence evidenced by contributions to blogs, published papers, or industry thought leadership.

#LI-Remote

Instacart provides highly market‑competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here. Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia.

Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.

For Canadian based candidates, the base pay ranges for a successful candidate are listed below.

CAN $203,000 — $225,000 CAD

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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