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Remote Machine Learning Engineer New Grad Jobs in Toronto, ON

Mercor

Senior Network Engineer | Upto $70/hr

Toronto, ON · Remote

CA$70/hr

Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from deployed ... Curiosity about how raw infrastructure data becomes machine learning input. Application Process ...

Fusemachines

Lead Data Scientist

Toronto, ON · Remote

$110K - $140K/yr

... data engineers to develop and implement data-driven solutions. * Assess the business needs of ... data science, machine learning, and artificial intelligence, and apply new technologies and ...

Waabi

Research Engineer, Neural Rendering

Toronto, ON · On-site +1

CA$134K - CA$235K/yr

You are familiar with the internals of modern machine learning (diffusion models, vision ... The salary base range is reflective of the minimum and maximum target for new hire salaries for the ...

Databricks

Solutions Architect

Toronto, ON · On-site +1

P-225 While candidates in the listed locations are encouraged for this role, we are open to remote ... engineering pipelines, and data science/machine learning projects; prove out the Databricks ...

Thundersoft

Embedded Software Test Engineer

Toronto, ON · Remote

CA$70K - CA$110K/yr

Test development for Computer Vision / Machine Learning (CVML) applications for the Edge * Work with Developers in developing unit tests and QA specific test apps * Write detailed test plans for new ...

YuJa

AI Engineer

Toronto, ON · On-site +1

CA$90K - CA$100K/yr

Design, develop, and deploy machine learning and deep learning models * Collaborate with product, design, and engineering to integrate AI models into customer-facing applications * Conduct ...

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Remote Machine Learning Engineer New Grad information

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer New Grad, and why are they important?

To excel as a Remote Machine Learning Engineer New Grad, you need a solid grounding in computer science, statistics, and machine learning algorithms, typically supported by a relevant degree. Familiarity with programming languages like Python, machine learning libraries (e.g., TensorFlow, PyTorch), and experience using version control systems such as Git are essential. Strong problem-solving skills, effective communication, and the ability to work independently are standout soft skills for this remote role. These skills ensure you can develop robust ML models, collaborate efficiently with distributed teams, and deliver impactful solutions in a dynamic environment.

What are some common challenges faced by new graduates starting as remote machine learning engineers, and how can they overcome them?

As a new graduate starting remotely as a machine learning engineer, one common challenge is effectively collaborating with team members and mentors when you can't interact in person. You may also face difficulties in accessing large datasets or compute resources, which can slow down experimentation. To overcome these challenges, it's important to communicate proactively using team channels, schedule regular check-ins with your mentor, and familiarize yourself with your company's remote infrastructure and support systems. Building a habit of documenting your work and asking for feedback early can also accelerate your learning and integration into the team.

What does a Remote Machine Learning Engineer New Grad do?

A Remote Machine Learning Engineer New Grad is an entry-level professional who designs, builds, and deploys machine learning models while working from a remote location. Their responsibilities typically include preprocessing data, developing algorithms, and collaborating with other team members through digital tools. As a new graduate, they often focus on learning industry best practices, writing code, testing models, and updating existing systems. Strong programming skills, problem-solving ability, and communication are essential for success in this role.
What are the most commonly searched types of Machine Learning Engineer New Grad jobs in Toronto, ON? The most popular types of Machine Learning Engineer New Grad jobs in Toronto, ON are:
Remote Machine Learning Engineer New Grad jobs near you

Senior Network Engineer | Upto $70/hr

Mercor

Toronto, ON • Remote

CA$70/hr

Full-time

Posted 2 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Network Engineer - Data for Autonomous Systems annotation
Type: Contract
Compensation: $50–$70/hour
Location: Remote
Commitment: 30–40 hours/week

Role Responsibilities

  • Review real-world data from deployed networks, including logs, configs, telemetry, and event streams.
  • Label and classify key behaviors, issues, and anomalies in network data.
  • Help define schemas and structure for large-scale data pipelines.
  • Interface directly with the client team to ensure data quality and relevance.
  • Work independently and asynchronously to meet deadlines and improve AI model performance.

Qualifications

Must-Have

  • Experience working as a network engineer, ideally with enterprise networks (switches, APs, firewalls, etc.).
  • Comfort with interpreting logs, events, and time-series metrics.
  • Curiosity about how raw infrastructure data becomes machine learning input.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.