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New Grad Machine Learning Jobs in Ontario (NOW HIRING)

Autodesk

... may change as new information is gained * Ability to break down a large problem into small ... Expertise with Machine Learning, Deep Learning and statistical modeling tools and libraries such as ...

Career Renew

Senior Machine Learning Engineer

Toronto, ON · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... new approaches Required Qualifications PhD (preferred) or Master's degree in Computer Science ...

Career Renew

Senior Machine Learning Engineer

Toronto, ON · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... new approaches Required Qualifications PhD (preferred) or Master's degree in Computer Science ...

Clio

Manager, Machine Learning Engineering

Toronto, ON · Remote

CA$181K - CA$272K/yr

We are currently seeking a Manager, Machine Learning Engineering to join our rapidly growing ... Learn new things, challenge yourself, and hone your craft as an ML and infrastructure expert in a ...

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All JobsNew Grad Machine Learning JobsNew Grad Machine Learning Jobs in Ontario

New Grad Machine Learning information

What is a new grad machine learning?

New Grad Machine Learning roles are entry-level positions designed for recent graduates who have studied machine learning, artificial intelligence, data science, or related fields. These positions typically involve working with experienced data scientists and engineers to develop, implement, and improve machine learning models and algorithms. New grads in these roles often contribute to projects involving data preprocessing, model training, evaluation, and deployment. The goal is to help new graduates gain hands-on experience and grow their skills in a real-world setting while contributing to the organization's AI initiatives.

What skills and qualifications are needed to thrive as a new grad machine learning?

To thrive as a New Grad Machine Learning Engineer, you need a solid foundation in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch, version control systems like Git, and coursework or certification in data science are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication skills help you collaborate and convey complex technical concepts to diverse teams. These skills and qualities are essential for developing innovative models, ensuring project success, and integrating seamlessly into fast-paced tech environments.

What challenges do new graduates face when starting out in a machine learning role, and how can they overcome them?

New grad machine learning engineers often encounter challenges such as bridging the gap between academic knowledge and practical, production-level projects. Adapting to real-world data issues, collaborating with cross-functional teams, and understanding scalable deployment can be daunting at first. To overcome these, it's helpful to seek mentorship, proactively ask questions, and dedicate time to learning best practices in code versioning, model evaluation, and team communication. Engaging in code reviews and participating in team discussions can also accelerate the learning curve and foster professional growth.

What is the difference between New Grad Machine Learning vs Data Scientist?

AspectNew Grad Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some internshipsBachelor's or Master's in CS, Statistics, or related; some experience
Work EnvironmentEntry-level, team-focused, research and developmentData analysis, modeling, cross-functional collaboration
Employer & Industry UsageTech companies, startups, research labsTech, finance, healthcare, consulting firms

New Grad Machine Learning roles typically focus on foundational skills, internships, and entry-level tasks, while Data Scientist positions often require more experience in data analysis and statistical modeling. Both roles are common in tech industries, but Data Scientists usually handle broader data analysis responsibilities.

What are popular job titles related to New Grad Machine Learning jobs in Ontario?

For New Grad Machine Learning jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching New Grad Machine Learning jobs in Ontario look for?

The top searched job categories for New Grad Machine Learning jobs in Ontario are:

What cities in Ontario are hiring for New Grad Machine Learning jobs?

Cities in Ontario with the most New Grad Machine Learning job openings:

New Grad Machine Learning jobs near you
Infographic showing various New Grad Machine Learning job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 28% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Senior Machine Learning Software Engineer

Autodesk

On-site

Full-time

Re-posted 10 days ago

Autodesk rating

9.1

Company rating: 9.1 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

26th of 246 rated software companies

Job description

Job Requisition ID #


26WD98709

Senior Software Engineer - Machine Learning

Fusion - Collaborative Research and Innovation

The Fusion Collaborative Research and Innovation team is looking for a driven and naturally curious software engineer who can hit the ground running in a dynamic environment. We are a small, agile applied research team that are intensely curious and passionate about the impact of artificial intelligence on the product design and manufacturing industry.

Fusion is a CAD/CAM software product that connects a company's entire product design & development process in a single tool. We see many opportunities for machine learning to expand what our customers are capable of.

In this role, you will play a critical role in bridging the gap between machine learning researchers and production software developers for Fusion . You will work with researchers to build out novel applications for machine learning. When the time comes to move any feature into product, you will be a strong interface with product engineering to plan the integration into Fusion . You are excited by the idea of working on a wide range of tasks across the research and development pipeline.

This role can be based predominantly from home, with occasional opportunities to get together with the wider team in Krakow.

Responsibilities

  • Develop robust software prototypes demonstrating applications of models, in collaboration with machine learning researchers and ML Ops
  • Identify opportunities to automate and streamline processes to improve research and development velocity
  • Participate in design discussions with software architects as projects mature from research to pre-production
  • Write programs that interface with production software, such as Fusion
  • Develop data pipelines to facilitate the machine learning lifecycle
  • Containerize and deploy applications (Docker)
  • Advocate and implement best practices to ensure the team is developing code effectively at different stages of research and prototype maturity
  • Work across a diverse group of machine learning researchers, developers, product managers, software architects and user experience designers

Minimum Requirements

  • A degree in a related field (Data Science, Computer Science, Statistics or a quantitative-related field) or equivalent professional experience.
  • Proficient in Python, C++
  • Experience with industry best practices for developing and maintaining complex code bases
  • Strong documentation skills to hand-off code and software architecture
  • A self-starter with initiative to search for solutions and execute on problems with minimal supervision
  • Comfortable working in newly forming ambiguous areas where learning and adaptability are key skills and requirements may change as new information is gained
  • Ability to break down a large problem into small components and provide a clear solution for each

Preferred Requirement

  • 3-5 years of experience with software engineering
  • Expertise with Machine Learning, Deep Learning and statistical modeling tools and libraries such as Pytorch, TensorFlow, Pandas, SciKitLearn, pyspark (in IDEs like PyCharm, RStudio, Jupyter)
  • Experience working with big data platforms (Hadoop, Spark, Hive) and orchestration frameworks and analytic environments (Databricks, SageMaker)
  • Experience with cloud data processing, training, deployment, or operations (AWS, GCP)
  • Experience with developing web applications
  • Experience with developing APIs
  • Experience with CAD/CAM software, or design and manufacturing industries are a plus

Learn More


About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.


We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.


When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!


Salary transparency

Salary is one part of Autodesk's competitive compensation package. For Poland based roles, we expect a starting base salary between 184,000 PLN and 269,500 PLN. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging


In-Person Onboarding and Identity Verification

This role may require in-person onboarding and/or in-person ID verification.

Are you an existing contractor or consultant with Autodesk?

Please search for open jobs and apply internally (not on this external site).

What Autodesk employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Autodesk

Sourced by ZipRecruiter

Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. For more information visit autodesk.com or follow @autodesk.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Rafael, CA, US

Year founded

1982

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