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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 ...

iQmetrix

Senior Data Engineer

Winnipeg, MB · On-site

... embedded analytics, operational workflows, machine learning, and emerging AI use cases. * Build ... Partner with product, software engineering, analytics, and AI stakeholders to translate business ...

AGCO

Autonomous Software Developer

Winnipeg, MB

... agricultural machines. This role is ideal for a technically strong engineer who enjoys ... You will work across autonomy, robotics, controls, perception, embedded systems, simulation, and ...

AGCO

Autonomous Software Developer

Winnipeg, MB

... agricultural machines. This role is ideal for a technically strong engineer who enjoys ... You will work across autonomy, robotics, controls, perception, embedded systems, simulation, and ...

New Flyer

CNC Programming Coordinator

Winnipeg, MB · On-site

Tasks involve optimizing machine performance, ensuring program accuracy and efficiency, and ... On-the-job training in a continuous learning environment (we've invested 10.9 million in 2023)

New Flyer

CNC Programming Coordinator

Winnipeg, MB · On-site

Tasks involve optimizing machine performance, ensuring program accuracy and efficiency, and ... On-the-job training in a continuous learning environment (we've invested 10.9 million in 2023)

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 ...

TRUMPF

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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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 Jul 29, 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 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 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 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.

What are popular job titles related to Embedded Machine Learning Engineer jobs in Winnipeg, MB? For Embedded Machine Learning Engineer jobs in Winnipeg, MB, the most frequently searched job titles are:
Embedded Machine Learning Engineer jobs near you

Senior Deep Learning Engineer

Targeted Talent

Winnipeg, MB • On-site, Remote

$130K - $180K/yr

Full-time

Re-posted 18 days ago

Job description

We're seeking top-notch engineers to join our team. As part of our group, you'll collaborate with hardware and software engineers to design, develop, and optimize software for our chip, making AI inference accessible to everyone. You'll excel in identifying and resolving functional/performance bottlenecks in complex software and hardware designs.

We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model optimization pipeline. If you thrive on pushing the boundaries of AI technology, this role is for you!

Requirements:

  • Bachelor's degree in Computer Science, Engineering, or related field
  • 5+ years of experience, with at least 2 years in both deep learning and software engineering
  • Proficiency in deep learning frameworks like Tensorflow and/or PyTorch
  • Experience with CNNs, LSTMs/RNNs, Transformers
  • Strong math skills and Python proficiency
  • Experience with C/C++

Preferred Skills & Experience:

  • Master's or PhD in Computer Science, Engineering, or related field
  • Experience in embedded or low-level programming
  • Knowledge of CUDA/OpenGL
  • Experience deploying neural networks in production
  • Familiarity with model compression techniques like quantization, pruning, etc.
These are permanent full time remote positions.
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Company size

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Headquarters location

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