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Machine Learning Engineer New Grad Jobs in Ottawa, ON

Programming experience with Python. * Exposure to laboratory environments involving fiber optics ... Knowledge of Machine Learning and Neural Network concepts. * Coursework or project experience in ...

New

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...

New employees can expect to be given real responsibility for bringing new technologies to the ... machine learning, energy analytics, and more. We're seeking those who are passionate about creating ...

New employees can expect to be given real responsibility for bringing new technologies to the ... machine learning, energy analytics, and more. We're seeking those who are passionate about creating ...

... machine learning models, implementing software that helps with decision making - while using modern ... Undergraduate degree in software engineering, computer science or related field. * 7 years of ...

... using machine learning methodologies including reinforcement learning, federated learning ... New employees are provided a minimum of 18 days of accrued vacation, at least 3personal days ...

Showing results 41-60

Machine Learning Engineer New Grad information

See Ottawa, ON salary details

$25.2K

$104.2K

$192.9K

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

As of Sep 7, 2026, the average yearly pay for machine learning engineer new grad in Ottawa, ON is $104,221.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,538.00 and $142,893.00 per year, depending on experience, location, and employer.

What is a machine learning engineer new grad?

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 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 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 job categories do people searching Machine Learning Engineer New Grad jobs in Ottawa, ON look for?

The top searched job categories for Machine Learning Engineer New Grad jobs in Ottawa, ON are:

What cities near Ottawa, ON are hiring for Machine Learning Engineer New Grad jobs?

Cities near Ottawa, ON with the most Machine Learning Engineer New Grad job openings:

Software Development Engineer (Image Processing)

Viavi Solutions

Ottawa, ON

Full-time

Medical, Life, Retirement, PTO

Re-posted 24 days ago


Key responsibilities

  • Implement, test, debug, and maintain image processing algorithms and software applications

  • Support the development of imaging and machine vision features

  • Assist with system integration, testing, and verification of imaging and optical subsystems


Job description

Summary:

VIAVI (NASDAQ: VIAV) is a global provider of network test, monitoring and assurance solutions for telecommunications, cloud, enterprises, first responders, military, aerospace, and railway. VIAVI is also a leader in light management technologies for 3D sensing, anti-counterfeiting, consumer electronics, industrial, automotive, government and aerospace applications.
We are the people behind the products that help keep the world connected at home, school, work, at play, and everywhere in between. VIAVI employees are passionate about supporting customer success and we welcome people who bring their best every day to the company - to question, to collaborate and to push for solutions that will delight our customers.
Title: Digital Imaging Software Engineer
Position Overview:
Our team develops optical test and measurement equipment for telecommunications laboratory and manufacturing environments. We are seeking a Digital Image Software Engineer to support the development and implementation of image processing algorithms and software applications for digital microscopy and related imaging systems.
This role is well-suited for an engineer with a solid foundation in C++ and Python, hands-on experience with image processing or machine vision, and an interest in working on real-world electro optical instrumentation products. The position emphasizes software implementation, testing, debugging, and maintenance, while providing opportunities to grow into more advanced algorithm development and system-level responsibilities.

Duties & Responsibilities:

Key Responsibilities:

  • Implement, test, debug, and maintain image processing algorithms and software applications
  • Support the development of imaging and machine vision features
  • Contribute to software development in C++ and Python on Windows and Linux platforms
  • Assist with system integration, testing, and verification of imaging and optical subsystems
  • Participate in prototyping and evaluation of imaging solutions for new and existing products
  • Collaborate with cross-functional team members throughout the product lifecycle
  • Help prepare technical documentation such as design notes, test reports, and user documentation
  • Participate as a team member in an Agile/Scrum development environment
  • Follow established coding standards, version control practices, and development processes

Required Qualifications:

  • Bachelor's degree in Computer Science, Computer/Systems Engineering, Mathematics, or a related field
  • 3+ years of professional software development experience, primarily in C/C++
  • 1-3 years of experience working with image processing, computer vision, or machine vision applications, including academic, internship, or industry experience

Pre-Requisites / Skills / Experience Requirements:

    Required Skills and Capabilities:

    • Fundamental knowledge of image processing concepts (e.g., filtering, segmentation, feature extraction)
    • Experience programming in C/C++; working knowledge of Python
    • Familiarity with common image processing and numerical libraries such as OpenCV, NumPy, SciPy, scikit-image, or PIL
    • Experience developing or debugging software on Windows; exposure to Linux environments preferred
    • Comfortable using IDEs and build systems (e.g., Visual Studio, CMake, GCC/MSVC)
    • Strong problem-solving skills and attention to detail
    • Clear written and verbal communication skills
    • Ability to work effectively in a collaborative engineering team

    Preferred Qualifications:

    • Exposure to digital microscopy, optics, or scientific/industrial imaging systems
    • Introductory experience with machine learning techniques applied to image analysis
    • Familiarity with Embedded Linux or ARM-based systems
    • Experience using version control and issue tracking tools (e.g., Git, Jira)
    • Previous experience working on a team using Agile or Scrum methodologies

    What This Role Offers:

    • Hands-on experience developing production software for advanced imaging instrumentation
    • Mentorship and technical guidance from experienced software and systems engineers
    • Opportunities to grow into advanced image processing, algorithm design, and system-level development
    • Involvement across the product lifecycle, from prototype to production

    If you have what it takes to push boundaries and seize opportunities, apply to join our team today.

    VIAVI Solutions is an equal opportunity and affirmative action employer - minorities/females/veterans/persons with disabilities.

    Job Posting Pay Range:

    84,000

    to

    156,000

    Exceptional qualifications, experience and location may impact salary. VIAVI offers a competitive benefits package that includes paid time off, health, life and disability insurance, 401(k), and a bonus program.