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Machine Learning Engineer New Grad Jobs in Toronto, ON

TheAppLabb

Sr. Machine Learning Engineer

Toronto, ON · On-site

We are looking for a Sr. Machine Learning Engineer to help translate raw data into meaningful insights that drive strategic decision-making. The Opportunity Summary We are seeking an experienced ...

Apply Early

The App Labb

Sr. Machine Learning Engineer

Toronto, ON · On-site

We are looking for a Sr. Machine Learning Engineer to help translate raw data into meaningful insights that drive strategic decision-making. The Opportunity Summary We are seeking an experienced ...

IXL Learning

Software Developer, New Grad

Toronto, ON · On-site

CA$90K - CA$92K/yr

IXL Learning, developer of personalized learning products used by millions of people globally, is ... As a Software Developer, New Grad on our Integrations team, you will design and develop the tools ...

Td

Machine Learning Engineer II

Toronto, ON · On-site

CA$154K - CA$199K/yr

Day-to-day as a Machine Learning Engineer: * Join a world-class team of AI developers with an ... in your new role. Interview Process We'll reach out to candidates of interest to schedule an ...

Serve Robotics

Lead Machine Learning Engineer

Toronto, ON · Remote

$225K - $260K/yr

Work closely with ML scientists and other engineers to integrate new models, experiments, and ... Hands-on experience training machine learning models across multiple GPUs or compute nodes ...

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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 ...

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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 ...

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Fullscript

Staff, Machine Learning Engineer

Toronto, ON · On-site +1

The Opportunity We're hiring a Staff Machine Learning Engineer to join our AI team and help shape ... We grow together, take on new challenges, and focus on impact. We put people first, work as a team ...

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Machine Learning Engineer New Grad information

What is a Machine Learning Engineer New Grad job?

A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.

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

To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.

What are the typical day-to-day tasks of a Machine Learning Engineer New Grad?

As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.

What are popular job titles related to Machine Learning Engineer New Grad jobs in Toronto, ON? For Machine Learning Engineer New Grad jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer New Grad jobs in Toronto, ON look for? The top searched job categories for Machine Learning Engineer New Grad jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Machine Learning Engineer New Grad jobs? Cities near Toronto, ON with the most Machine Learning Engineer New Grad job openings:
Machine Learning Engineer New Grad jobs near you
Infographic showing various Machine Learning Engineer New Grad job openings in Toronto, ON as of June 2026, with employment types broken down into 9% As Needed, 55% Full Time, and 36% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Sr. Machine Learning Engineer

TheAppLabb

Toronto, ON • On-site

Other

Posted 5 days ago

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Job description

Salary:

About Us:
The AppLabb is a leading innovation company specializing in AI-powered digital solutions, mobile app development, and emerging technologies. We leverage data-driven insights to enhance digital experiences and drive business growth. We are looking for a Sr. Machine Learning Engineer to help translate raw data into meaningful insights that drive strategic decision-making.

The Opportunity
Summary

We are seeking an experienced Senior Machine Learning Engineer to design, develop, and deploy scalable ML solutions in production environments. You will work closely with data scientists, engineers, and product teams to build robust systems that deliver business-critical AI features. This role requires hands-on expertise in building and operationalizing machine learning models using modern ML frameworks and cloud infrastructure.
What you will do?

  • Architect, build, and deploy end-to-end ML pipelines for production workloads.
  • Design scalable and resilient ML systems using frameworks such as PyTorch and TensorFlow.
  • Operationalize ML models using containerized environments (Docker, Kubernetes) and orchestration tools like Cloud Composer (Airflow) on Cloud Environments (AWS, Azure, GCP)
  • Integrate ML solutions with data warehouses like Snowflake, DataBricks or BigQueryfor training and inference at scale.
  • Collaborate with cross-functional teams to define requirements and deliver impactful AI features.
  • Ensure CI/CD best practices for ML deployments, including monitoring, versioning, and rollback strategies.

Optimize model performance and system efficiency to meet production level SLAs.
What you'll need?

  • 5+ years of experience designing and deploying production-grade ML systems at scale.
  • Strong knowledge of PyTorch, TensorFlow, and modern ML model lifecycle management.
  • Hands-on experience with AWS, Azure or GCP.
  • Expertise in Kubernetes, Docker, and workflow orchestration tools such as Cloud Composer or Airflow.
  • Proficiency with SQL and experience working with Snowflake, DataBricks or BigQuery.
  • Solid understanding of MLOps practices: reproducibility, model monitoring, automated retraining.
  • Strong programming skills in Python; experience with LangChain, LangGraph, or related frameworks is a plus.
  • Excellent communication and leadership skills, with a proven ability to work in collaborative teams.
    Competencies
    • Experience building RAG (Retrieval-Augmented Generation) or LLM-based systems in production.
    • Knowledge of distributed systems and streaming data pipelines.
    • Certifications in Cloud Architectures

Why Join Us?

Work on large-scalecloud-based data platformswith cutting-edge technologies.
Collaborate with a dynamic, innovative, and data-driven team.
Competitive salary
Opportunities for career growth and continuous learning.


Why youll love TheAppLabb?
We are proud to be certified as a Great Place to Work, Canada. We're a motivated team with laser-focused mission to create exceptional experiences. At TheAppLabb, our culture is geared towards creativity, collaboration, and flexibility.

Acknowledge and recognize employee efforts by having awards (Employee of the month, Employee with Most Growth, Leadership Award etc.)
We encourage a healthy lifestyle by incorporating fitness challenge incentives in our Company

TheAppLabbs strong values and principles guide our employees to work with honesty, integrity, teamwork, and empathy.


At TheAppLabb, we believe diversity and inclusion is a strength we cultivate. We are proud to be an equal opportunity employer, and we do not discriminate based on race, gender, ethnicity, citizenship, national origin, religion, sexual orientation, age, marital status, disability, veteran status or any other legally protected status.


Our work environment welcomes equity, inclusiveness, and diversity by providing accommodations throughout the recruitment process and during your employment here. If you require accommodation, please let us know and we will work with you to meet your needs. Please contact us at jobs@theapplabb.com.


So, if you are looking for your next challenge, then this is your chance to join our team of exceptionally talented, creative, and innovative professionals working towards a unified goal.