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New Grad Machine Learning Jobs in Markham, ON (NOW HIRING)

ShyftLabs

Associate AI Engineer

Toronto, ON · Hybrid

CA$60K - CA$80K/yr

The Opportunity ShyftLabs is looking for an Associate AI Engineer (New Grad) to join our growing ... Work with LLM APIs, machine learning models, and automation pipelines to support intelligent ...

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All JobsNew Grad Machine Learning JobsNew Grad Machine Learning Jobs in Markham, ON

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 cities near Markham, ON are hiring for New Grad Machine Learning jobs?

Cities near Markham, ON with the most New Grad Machine Learning job openings:

New Grad Machine Learning jobs near you

Machine Learning Engineer, Detection (TOR)

Doppel Inc.

Toronto, ON • On-site

Other

Medical, PTO

This job post has expired today. Applications are no longer accepted.

Job description

We're looking for people who want to make a big impact. Join Doppel to disrupt the future of AI-assisted cybercrime.

Culture dictates how we operate day-to-day when no one is looking.

Customer Obsession

Our #1 priority is the customer. We dig deeper into the "why" - we do active listening, not passive listening.

Every Second Counts

In a world where SaaS and AI rapidly mature, execution speed is the main separator between companies. When people join Doppel, we often hear that we move significantly faster than their previous companies.

Break Through Walls

Instead of accepting the status quo, we ask why can't it be done from a first principles perspective?

Win as a Team

Everything we do at Doppel is as a team - only in supporting and enabling each other can we build a business that serves thousands of customers at scale. That means we can't work in silos, and we have to over-communicate to ensure that we can get the job done for our customers.

This Could Be You Building the Future of Security at Doppel

At Doppel, engineers are united by a passion for solving complex security challenges with AI. Doppel is a place where curiosity, teamwork, and ownership thrive. Our engineers and builders work hard, support one another, and stay driven by a shared mission - protecting the internet while solving deeply technical problems. This is a look inside the culture that makes it all possible.

We've got your health covered, so you can focus on what matters.

  • Flexible time off
  • Take the time you need, when you need it.
  • Supporting Life's Biggest Job
  • Because family matters most, we offer paid time off for parents to bond, rest, and adjust to life's biggest change.
  • Perks for Office Days
  • We make getting to the office (and staying nourished) easier.
  • Cell stipend
  • We make staying in touch a little easier.
  • Home office setup
  • We'll take care of your home office, so you can take care of the work that matters.
Flexibility Where we work

At Doppel, we believe flexibility fuels great work. While most of our team works fully remote, our engineers tap into the best of both worlds - remote focus time and three days of in-person collaboration in our New York or San Francisco offices.

Straight from the source

I feel lucky to dig into tough technical problems every single day. The systems we build have to scale, adapt quickly, and stay ahead of constantly evolving threats, which makes the work both challenging and exciting. The pace is fast but the focus is always on impact of our mission to make the internet safer. I've also grown quickly, starting as a founding engineer, stepping into a Tech Lead Manager role, and now serving as an Engineering Manager. Leadership has consistently valued my perspective and given me the space to develop as a leader in my own right. At Doppel, we celebrate wins together, and every success feels like a shared victory.

Employee Reviews What employees are saying

By pairing cutting-edge AI with expert analysis, we outpace threats like phishing, impersonation, and disinformation-delivering comprehensive coverage, speed, and precision that legacy systems can't touch.

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