ZipRecruiter

Log In

1

Replicate Jobs in Toronto, ON (NOW HIRING)

1Valet

Junior QA Engineer

Toronto, ON · On-site

Replicate customer-reported bugs in the lab using physical hardware and test environments. * Document precise bug details and reproduction steps to help engineering teams resolve issues efficiently.

CMiC

Product Support Analyst

Toronto, ON · On-site

CA$45K - CA$55K/yr

Product Analysts receive tickets and analyse screenshots and details of customer issues, to replicate the problem while proactively communicating with CMiC teams to guide issues to resolution. In ...

CMiC

Product Support Analyst

Toronto, ON · On-site

CA$45K - CA$55K/yr

Product Analysts receive tickets and analyse screenshots and details of customer issues, to replicate the problem while proactively communicating with CMiC teams to guide issues to resolution. In ...

Omnicom

Product Manager, Perpetua

Toronto, ON · On-site

Perpetua works across all of them, and it is built on proprietary data and optimization that a single retailer cannot replicate. The product problem is genuinely hard and worth solving. You are ...

All JobsReplicate JobsReplicate Jobs in Toronto, ON

Replicate information

What is a replicate?

Replicate jobs refer to roles involved with the Replicate platform, which is a service that allows developers and businesses to run machine learning models in the cloud. These jobs typically focus on deploying, managing, and scaling AI models, as well as integrating them into various applications. Professionals in these roles may work on building APIs for ML models, optimizing model performance, and ensuring reliable, scalable infrastructure. Replicate jobs are sought after by organizations looking to leverage machine learning capabilities without managing their own hardware or deep ML infrastructure.

What skills and qualifications are needed to thrive as a replicate machine learning engineer?

To thrive as a Replicate Machine Learning Engineer, you need a deep understanding of machine learning concepts, proficiency in Python, and experience with deploying models, often backed by a degree in computer science or a related field. Familiarity with tools like Docker, cloud platforms, version control (Git), and model serving frameworks is typically required. Strong problem-solving, collaboration, and communication skills help you work effectively with both technical and non-technical stakeholders. These skills enable the efficient development, deployment, and scaling of machine learning models to meet user and business needs.

What are common challenges faced by professionals working in machine learning model replication roles, and how can they be addressed?

Professionals tasked with replicating machine learning models often face challenges such as incomplete documentation, discrepancies in data preprocessing, and differences in software environments. These issues can lead to results that are difficult to reproduce or validate. To address these challenges, it's important to communicate closely with original model developers, use containerization tools like Docker to standardize environments, and meticulously document each step of the replication process. Collaboration with cross-functional teams, including data engineers and researchers, also helps ensure a smoother replication workflow.

What are popular job titles related to Replicate jobs in Toronto, ON?

For Replicate jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Replicate jobs in Toronto, ON look for?

The top searched job categories for Replicate jobs in Toronto, ON are:

Replicate jobs near you
Infographic showing various Replicate job openings in Toronto, ON as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution.

Junior QA Engineer

1Valet

Toronto, ON • On-site

Full-time

Re-posted 3 days ago

Key responsibilities

  • Execute test plans and test cases for hardware products, embedded software, and connected IoT systems.

  • Test mobile applications, backend services, and embedded firmware as part of end-to-end system validation.

  • Collaborate with Customer Experience and Operations teams to help investigate issues reported from the field.

Job description

About 1Valet

1Valet is a Canadian technology company transforming the way people interact with their buildings. We develop smart building software and integrated hardware solutions that connect property managers, residents, and visitors-creating seamless, secure, and intelligent building experiences.

We're a growing company where every team member plays a pivotal role. Our products are installed in properties across North America, and we're rapidly expanding. Join us as we shape the future of smart buildings.

About the Role

We are looking for an enthusiastic Junior Quality Assurance Engineer to join our team at 1VALET. In this role, you will play a key part in ensuring the reliability and performance of 1VALET's hardware and software products, including our Entry systems and third-party hardware integrations (smart locks, thermostats, sensors, and other IoT devices).

Working under the guidance of senior engineers and squad leads, you will collaborate with Product, Hardware Engineering, Software Engineering, and Operations teams to test new features, support field deployments, and help reproduce issues reported by customers. This is a hands-on QA role ideal for someone eager to build a career working directly with physical hardware, firmware, software, and connected IoT systems.

Responsibilities

Hardware & System Testing

  • Execute test plans and test cases for hardware products, embedded software, and connected IoT systems.
  • Perform functional, regression, and integration testing on 1VALET Entry systems and related hardware.
  • Assist in validating hardware integrations, including smart locks, thermostats, access readers, and sensors.
  • Support senior engineers during new hardware bring-up and setup in the lab.

Software & Platform QA

  • Test mobile applications, backend services, and embedded firmware as part of end-to-end system validation.
  • Run tests across multiple device types, screen sizes, hardware revisions, and firmware versions.
  • Work closely with software engineers to reproduce, log, and verify fixes for software defects.

Field & Operations Support

  • Collaborate with Customer Experience (CX) and Operations teams to help investigate issues reported from the field.
  • Replicate customer-reported bugs in the lab using physical hardware and test environments.
  • Document precise bug details and reproduction steps to help engineering teams resolve issues efficiently.

Process & Continuous Learning

  • Log, track, and re-test bugs using test management and bug-tracking software.
  • Maintain clear test documentation and report test execution results to the team.
  • Actively participate in team discussions to help improve overall product quality and testing efficiency.

Required Qualifications

  • 1-2 years of experience in Quality Assurance (or equivalent through internships, hands-on projects, or lab coursework).
  • Foundational understanding of hardware, software, and basic networking concepts (Wi-Fi, Ethernet, Bluetooth/BLE).
  • Hands-on familiarity with physical hardware, consumer electronics, or lab equipment.
  • Basic experience using bug-tracking tools (e.g., Jira, TestRail, or similar).
  • Strong problem-solving mindset, attention to detail, and a desire to learn complex hardware-software ecosystems.

Nice to Have

  • Exposure to smart building technology, proptech, access control, or IoT devices.
  • Basic familiarity with testing tools, APIs, or command-line utilities.
  • Experience or interest in using AI-assisted tools (e.g., ChatGPT, Claude, GitHub Copilot) to help write test cases, debug, or write documentation.
  • Academic or project experience testing embedded systems or mobile applications.

What We Offer

  • Hands-on experience working with real, deployed hardware systems used in residential and commercial buildings.
  • Strong mentorship and opportunities for rapid professional growth within a supportive team.
  • Close collaboration across product, engineering, CX, and operations teams.
  • Access to a fully equipped R&D lab and hands-on testing environment.

AI may be used to help filter applications


Location: Remote

Reporting to: Engineering Squad Lead

Compensation: 50-60k Depending on Experience

Apply