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Machine Learning Engineer New Grad Jobs in Manitoba

We are seeking a Machine Learning Engineer to develop embedded perception models and the infrastructure that supports them. This role is well-suited for a technically strong, hands-on individual who ...

We are seeking a Machine Learning Engineer to develop embedded perception models and the infrastructure that supports them. This role is well-suited for a technically strong, hands-on individual who ...

Develop new and improved methods to maximize program and machine efficiency. * Produces and ... On-the-job training in a continuous learning environment (we've invested 10.9 million in 2023)

Gain exposure through a physical presence on the manufacturing floor to the 4M's (machine ... force for good, a place to expand learning, explore new perspectives and reimagine new ...

Our solutions help the world's biggest brands leverage artificial intelligence, machine learning ... Bring your ideas and try new things * Perform other duties as required As Senior Software Developer ...

On-the-job training in a continuous learning environment (we've invested 10.9 million in 2023 ... Advancement opportunities within our family of companies New Flyer is an equal opportunity employer.

New Flyer is North America's heavy-duty transit bus leader, providing sustainable mobility ... As a CNC Press Brake Operator, you'll be part of our Machine Shop team, responsible for the full ...

New Flyer is North America's heavy-duty transit bus leader, providing sustainable mobility ... As a CNC Press Brake Operator, you'll be part of our Machine Shop team, responsible for the full ...

Investigate opportunities and create "Request for Proposal" data packages for new equipment and ... Develop and maintain machinery monitoring and basic reporting in Ignition. * Work with ...

Whether lasers, machine tools, EUV or electronics - TRUMPF is building technological worlds for ... Do you enjoy travel, learning about new places, and meeting new people? Are you interested in ...

Field Service Engineer

Winnipeg, MB · On-site

CA$35 - CA$45/hr

Whether lasers, machine tools, EUV or electronics - TRUMPF is building technological worlds for ... Do you enjoy travel, learning about new places, and meeting new people? Are you interested in ...

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Machine Learning Engineer New Grad information

See Manitoba salary details

$26.5K

$109.4K

$202.5K

How much do machine learning engineer new grad jobs pay per year?

As of Jun 29, 2026, the average yearly pay for machine learning engineer new grad in Manitoba is $109,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $150,000.00 per year, depending on experience, location, and employer.

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 Manitoba? For Machine Learning Engineer New Grad jobs in Manitoba, the most frequently searched job titles are:
What cities in Manitoba are hiring for Machine Learning Engineer New Grad jobs? Cities in Manitoba with the most Machine Learning Engineer New Grad job openings:
Infographic showing various Machine Learning Engineer New Grad job openings in Manitoba as of June 2026, with employment types broken down into 3% As Needed, 64% Full Time, 20% Part Time, and 13% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $109,405 per year, or $52.6 per hour.
Machine Learning Engineer

Machine Learning Engineer

AGCO

Winnipeg, MB • On-site

Full-time

Retirement, PTO

Posted 17 days ago


Key responsibilities

  • Design, develop, and deploy computer vision and perception models for real-time operation on autonomous agricultural machines.

  • Own the full ML lifecycle, including dataset design, data collection, training, evaluation, optimization, and deployment.

  • Build and enhance ML infrastructure for embedded systems, including tools for validation, monitoring, and continuous improvement.


AGCO rating

8.8

Company rating: 8.8 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

33rd of 419 rated machine equipment manufacturers


Job description

Solutions for Every Season. We engineer and deliver precision agriculture hardware, software, and cloud-based platforms that connect every corner of the farm.  At PTx, we are redefining the future of agriculture through autonomy. Our focus is on building physical AI systems, where machine learning models directly interact with and control real-world machines operating in complex outdoor environments.

We are seeking a Machine Learning Engineer to develop embedded perception models and the infrastructure that supports them. This role is well-suited for a technically strong, hands-on individual who excels at solving complex, real-world challenges while maintaining a system-level perspective and delivering measurable impact in the field.

In this role, you will take ownership of high-level application objectives and drive them from concept through deployment. You will work closely with cross-functional teams to define problems, shape data strategies, and ensure solutions are robust, scalable, and production-ready.

Your Impact

  • Design, develop, and deploy computer vision and perception models for real-time operation on autonomous agricultural machines.
  • Own the full ML lifecycle, including dataset design, data collection, training, evaluation, optimization, and deployment.
  • Build and enhance ML infrastructure for embedded systems, including tools for validation, monitoring, and continuous improvement.
  • Collaborate with robotics, embedded, perception, and systems engineering teams to integrate ML solutions into production environments.
  • Prototype, validate, and continuously improve models using real-world and synthetic data to enhance detection, segmentation, and scene understanding under challenging conditions (e.g., dust, occlusion, lighting) and ensure robustness across diverse crops, terrains, and climates.

Your Experience and Qualifications 

  • Strong fundamentals in machine learning and computer vision.
  • 3+ years of experience developing, deploying, and optimizing ML models, with a focus on computer vision and embedded systems.
  • Experience with ML Ops practices and infrastructure development.
  • Hands-on experience with GPU-based computing and embedded deployment (e.g., Jetson or similar platforms).  Proficiency with Docker and ROS2.  Experience in robotics, autonomous vehicles, or real-time systems is a strong plus.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, with strong interpersonal skills and a collaborative, team-oriented mindset.

Your Benefits

  • Three (3) weeks of vacation per year.
  • Employee Stock Purchase Plan offering eligible employees the ability to purchase AGCO stock at a discounted price.
  • Group retirement plan with employer match.
  • Group insurance paid at 75% by the employer.
  • Employee Assistance Program.  

Your Workplace

You will collaborate closely with PTx colleagues in Winnipeg, Canada, in an onsite environment that supports hands-on testing, teamwork, and innovation.

We are committed to fostering an inclusive workplace and believe that diverse perspectives drive better outcomes for our customers, our communities, and our teams. Our approach to recruitment reflects that commitment by building teams that represent a broad range of experiences, backgrounds, cultures, and perspectives.

If you are contacted regarding an opportunity with us, you may request reasonable accommodation for the materials or activities used throughout the selection process.

Join us as we bring agriculture into the future and apply now! 


What AGCO employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


AGCO logo

About AGCO

Sourced by ZipRecruiter

AGCO is a global leader in the design, manufacture and distribution of agricultural equipment with a dynamic portfolio of exciting brands such as Fendt, Massey Ferguson, and Gleaner which deliver innovative and efficient solutions to farmers in North America through a comprehensive product line-up and smart farming software solutions.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Duluth, GA, US

Year founded

1990