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Machine Learning Engineer New Grad Jobs in Manitoba

Wawanesa Insurance

Software Engineer

Winnipeg, MB · Hybrid

CA$85K - CA$105K/yr

Job Overview The Software Engineer is responsible for taking machine learning applications in a service-oriented architecture from concept to production support and everything in-between using their ...

Wawanesa Insurance

Manager, Advanced Analytics

Winnipeg, MB · Hybrid

CA$140K - CA$180K/yr

Keeps abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization. * Perform other duties as assigned. Qualifications * A minimum of five ...

AGCO

Test Engineer

Winnipeg, MB

Support commissioning of new machines and test systems, and write, review, and carry out test ... learning capabilities. * Strong interpersonal and communication skills, ability to work against ...

AGCO

Test Engineer

Winnipeg, MB

Support commissioning of new machines and test systems, and write, review, and carry out test ... learning capabilities. * Strong interpersonal and communication skills, ability to work against ...

Laivly

Senior Full Stack Software Developer

Winnipeg, MB · On-site +1

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 ...

JMT Consultants Inc.

Software Developer

Winnipeg, MB · On-site

Develop and integrate Artificial Intelligence (AI) and Machine Learning (ML) models to create powerful, predictive, and automated workflows * Collaborate for Impact: Work directly with our engineers ...

Lotlinx

Software Developer Manager

Winnipeg, MB · Hybrid

Today, we stand as the foremost automotive AI and machine learning powered technology, excelling in ... Review PRs, spike new technologies, and contribute to critical components to set a high bar for ...

New Flyer

CNC Brake Press Operator

Winnipeg, MB · On-site

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 ...

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Machine Learning Engineer New Grad information

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$26.5K

$109.4K

$202.5K

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

As of May 30, 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.
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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:
Machine Learning Engineer New Grad jobs near you
Infographic showing various Machine Learning Engineer New Grad job openings in Manitoba as of May 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution, with an average salary of $109,405 per year, or $52.6 per hour.
Machine Learning Engineer, ML Systems and Infrastructure

Machine Learning Engineer, ML Systems and Infrastructure

Autodesk

Winnipeg, MB • On-site, Remote

Full-time

Posted 23 days ago

Autodesk rating

9.5

Company rating: 9.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

5th of 183 rated software companies

Job description

Job Requisition ID #

26WD98119

POSITION OVERVIEW

The work we do at Autodesk touches nearly every person on the planet. By creating software tools for making buildings,machines, and even the latest movies, we influence and empower some of the most creative people in the world to solveproblems that matter.

Autodesk is looking for an ML Engineer, ML Systems and Infrastructure to help build the technical foundation behind large-scale machine learning systems. In this role, you will partner with AI researchers, software engineers, and platform teams tobuild scalable pipelines, training infrastructure, data workflows, and production-ready ML systems that support the nextgeneration of AI-powered product experiences.

This is an engineering-first role focused on building and operating ML systems at scale. You will work on problems such asdistributed training workflows, data processing pipelines, model evaluation infrastructure, deployment systems, and platform tooling that improves reliability, efficiency, and developer velocity.

This role is fully remote-friendly, with team members distributed across the US and Canada.

RESPONSIBILITIES

  • Build and maintain components of ML pipelines for data preparation, model training, evaluation, deployment, and monitoring

  • Develop reliable software and infrastructure that supports scalable machine learning workflows

  • Contribute to distributed data processing and training systems used by researchers and engineering teams

  • Support data ingestion, transformation, validation, and serving for large-scale structured and semi-structured technical datasets

  • Improve automation, testing, CI/CD, observability, and operational reliability for ML systems

  • Troubleshoot data, infrastructure, and performance issues in collaboration with senior engineers

  • Participate in design discussions and contribute ideas that improve system scalability, maintainability, and efficiency

  • Document technical decisions, workflows, and operational processes clearly

MINIMUM QUALIFICATIONS

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent industry experience

  • At least 2 years of industry experience in software engineering, machine learning infrastructure, distributed systems, data platforms, or related areas

  • Strong software engineering fundamentals, including coding, testing, debugging, and code quality

  • Proficiency in Python and experience building production-quality software

  • Experience with cloud platforms such as AWS, Azure, or GCP

  • Familiarity with containers, version control, CI/CD, and modern development workflows

  • Experience working with data-intensive systems, backend systems, or ML pipelines

  • Ability to work independently on well-defined problems with moderate ambiguity

PREFERRED QUALIFICATIONS

  • Experience building data pipelines for large-scale structured and semi-structured technical datasets

  • Familiarity with data lineage, provenance, governance, and responsible data usage in ML systems

  • Familiarity with distributed data processing and orchestration systems such as Ray, Airflow, Spark, or similar platforms

  • Familiarity with model deployment, inference services, monitoring, and observability for production ML systems

  • Familiarity with ML-ready representations for geometry, graph, hierarchical, or multimodal data

  • Experience working with CAD, BIM, AEC, or other complex domain-specific data formats

THE IDEAL CANDIDATE

  • Is a strong software engineer with interest in machine learning systems

  • Enjoys improving reliability, automation, and operational excellence

  • Communicates clearly and collaborates well across functions

  • Learns quickly and thrives in a fast-moving environment

  • Brings sound judgment, curiosity, and ownership to engineering work

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 Canada based roles, we expect a starting base salary between $0 and $0. 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.

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

Are you an existing contractor or consultant with Autodesk?

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

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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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