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Embedded Machine Learning Engineer Jobs in Winnipeg, MB

Targeted Talent

Senior Deep Learning Engineer

Winnipeg, MB · On-site +1

$130K - $180K/yr

We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus ... Experience in embedded or low-level programming * Knowledge of CUDA/OpenGL * Experience deploying ...

Targeted Talent

Senior Deep Learning Engineer

Winnipeg, MB · On-site +1

$130K - $180K/yr

We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus ... Experience in embedded or low-level programming * Knowledge of CUDA/OpenGL * Experience deploying ...

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 ...

AGCO

Test Engineer

Winnipeg, MB

Verify control systems for agricultural mobile machines, including embedded and ROS-based systems ... learning capabilities. * Strong interpersonal and communication skills, ability to work against ...

AGCO

Test Engineer

Winnipeg, MB

Verify control systems for agricultural mobile machines, including embedded and ROS-based systems ... learning capabilities. * Strong interpersonal and communication skills, ability to work against ...

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 ... This team of five talented, multi-disciplinary engineers builds and maintains the core ...

Carfair

CNC Operator

Winnipeg, MB · On-site

... engineering specifications. The CNC Operator is also accountable for accurate machine setup ... On-the-job training in a continuous learning environment through a variety of in-house training ...

Carfair

CNC Operator

Winnipeg, MB

... engineering specifications. The CNC Operator is also accountable for accurate machine setup ... On-the-job training in a continuous learning environment through a variety of in-house training ...

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All JobsEmbedded Machine Learning Engineer JobsEmbedded Machine Learning Engineer Jobs in Winnipeg, MB

Embedded Machine Learning Engineer information

See Winnipeg, MB salary details

$26.6K

$142.2K

$229.3K

How much do embedded machine learning engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for embedded machine learning engineer in Winnipeg, MB is $142,152.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,503.00 and $175,077.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Embedded Machine Learning Engineer, and why are they important?

To thrive as an Embedded Machine Learning Engineer, you need expertise in machine learning algorithms, embedded systems programming (C/C++ or Python), and a solid understanding of hardware constraints, usually supported by a degree in computer science, electrical engineering, or related fields. Familiarity with tools like TensorFlow Lite, ONNX, microcontroller SDKs, and experience with real-time operating systems (RTOS) are typically required. Strong problem-solving, communication skills, and the ability to collaborate across multidisciplinary teams help you stand out in this role. These skills are crucial for efficiently deploying intelligent models on resource-constrained devices, ensuring optimal performance and seamless integration in real-world applications.

What are some common challenges faced by Embedded Machine Learning Engineers when deploying models to hardware devices?

One of the main challenges for Embedded Machine Learning Engineers is optimizing machine learning models to run efficiently on devices with limited memory, processing power, and energy capacity. Ensuring real-time performance while maintaining accuracy often requires model quantization, pruning, or using lightweight architectures. Additionally, engineers must carefully manage hardware-software integration and address issues like compatibility with various microcontrollers and ensuring secure, reliable updates for deployed models. Close collaboration with hardware engineers and software developers is essential to overcome these challenges and deliver robust embedded AI solutions.

What does an Embedded Machine Learning Engineer do?

An Embedded Machine Learning Engineer designs and implements machine learning models that can run efficiently on embedded systems, such as microcontrollers and edge devices. Their work involves optimizing algorithms to fit within the resource constraints of these devices, integrating ML models into hardware, and ensuring real-time performance. They collaborate closely with hardware engineers and software developers to deploy intelligent features in products like smart sensors, IoT devices, and autonomous systems.

What is the difference between Embedded Machine Learning Engineer vs Firmware Engineer?

AspectEmbedded Machine Learning EngineerFirmware Engineer
Required CredentialsBachelor's/Master's in Computer Science, Electrical Engineering, or related; knowledge of ML frameworksBachelor's in Electrical Engineering, Computer Engineering, or related; embedded systems experience
Work EnvironmentDevelops ML models for embedded devices, often in IoT or smart devicesDesigns and implements low-level firmware for hardware devices
Industry UsageTech companies, IoT, consumer electronics, automotiveConsumer electronics, automotive, industrial equipment

The Embedded Machine Learning Engineer focuses on integrating machine learning models into embedded systems, while the Firmware Engineer specializes in developing low-level software for hardware devices. Both roles require embedded systems knowledge but differ in their core focus and skill sets.

Embedded Machine Learning Engineer jobs near you
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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