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Junior Machine Learning Engineer Jobs in Waterloo, ON

Syntronic

Lead Software Developer (AOSP)

Waterloo, ON · On-site

CA$140K - CA$170K/yr

We are seeking a Lead Software Engineer to drive the design, development, and maintenance of ... Knowledge of Machine Learning and experience using AI tools in the development process.

Micro1

Remote Senior Software Engineer

Stratford, ON · Remote

Senior Software Engineer $50 - $100/hourpay Required Skills Python3 JAVA Rust Algorithms Basics C ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

Micro1

Remote Senior Software Engineer

Guelph, ON · Remote

Senior Software Engineer $50 - $100/hourpay Required Skills Python3 JAVA Rust Algorithms Basics C ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

Micro1

Remote Senior Software Engineer

Waterloo, ON · Remote

Senior Software Engineer $50 - $100/hourpay Required Skills Python3 JAVA Rust Algorithms Basics C ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

Linamar

Buyer, Junior

Guelph, ON · On-site

Able to read and interpret engineering drawings and specifications, with the ability to communicate ... Join us and you will have the unique opportunity to master both time-tested machinery and the ...

Gore Mutual Insurance

Data Scientist

Cambridge, ON

Support deployment of machine learning models into production environments, including CI/CD workflows and MLOps practices under supervision Create models through advanced data feature engineering

Gore Mutual Insurance

Data Scientist

Cambridge, ON · Hybrid

CA$64K - CA$114K/yr

Support deployment of machine learning models into production environments, including CI/CD workflows and MLOps practices under supervision Create models through advanced data feature engineering

Dialpad

Applied Scientist

Kitchener, ON · On-site +1

Collaboration will be key as you work alongside our engineering, design, and product teams to build ... Demonstrated experience with machine learning, Python, PyTorch, and other relevant tools and ...

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All JobsMachine Learning Engineer JobsJunior Machine Learning Engineer JobsJunior Machine Learning Engineer Jobs in Waterloo, ON

Junior Machine Learning Engineer information

See Waterloo, ON salary details

$24.2K

$111.1K

$193.5K

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

As of Aug 9, 2026, the average yearly pay for junior machine learning engineer in Waterloo, ON is $111,098.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,378.00 and $138,921.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer, and why are they important?

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

What is the difference between Junior Machine Learning Engineer vs Data Scientist?

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

More about Junior Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Waterloo, ON? The most popular types of Machine Learning Engineer jobs in Waterloo, ON are:
What are popular job titles related to Junior Machine Learning Engineer jobs in Waterloo, ON? For Junior Machine Learning Engineer jobs in Waterloo, ON, the most frequently searched job titles are:
What cities near Waterloo, ON are hiring for Junior Machine Learning Engineer jobs? Cities near Waterloo, ON with the most Junior Machine Learning Engineer job openings:
Junior Machine Learning Engineer jobs near you
Infographic showing various Junior Machine Learning Engineer job openings in Waterloo, ON as of August 2026, with employment types broken down into 87% Full Time, and 13% Nights. Highlights an 100% In-person job distribution, with an average salary of $111,098 per year, or $53.4 per hour.

Lead Software Developer (AOSP)

Syntronic

Waterloo, ON • On-site

CA$140K - CA$170K/yr

Full-time

Re-posted 18 days ago

Job description

Join Syntronic: Where Your Innovation Shapes the Future
At Syntronic, we don't just follow industry trends-we set them! Join us in partnering with visionary companies and the brightest minds to turn ground-breaking ideas into reality. Imagine working on cutting-edge telecom advancements, pioneering automotive tech, life-saving healthcare innovations, and next-gen industrial automation. Our projects are diverse, impactful, and at the forefront of technological innovation. Be a part of something extraordinary!

Who are we?:
Syntronic is a global leader in design and development, specializing in electronics, electro-mechanics, and software. We're not just a company; we're a community of innovators. Our teams work on projects that define the future-from creating state-of-the-art communication systems and autonomous vehicles to advancing IoT solutions that revolutionize everyday life. At Syntronic, your work will make a real difference.

What we're looking for:
We are seeking individuals who want to:
        Collaborate with top-tier clients on transformative, cutting-edge projects.
        Engage with and learn from industry leaders
        Innovate from concept to completion, ensuring high standards.
        Gain international experience on global projects.
        Thrive in an entrepreneurial environment that supports new ideas.
        Explore multiple sectors like telecommunications, automotive, healthcare, and industrial automation.

We are seeking a Lead Software Engineer to drive the design, development, and maintenance of complex software products within the Android ecosystem. This role spans the entire Software Development Lifecycle (SDLC), requiring a full-stack mindset to manage everything from user interface components to deep server-side and system-level architecture. 

As a technical leader, you will not only contribute high-level code but also guide a team of junior developers, ensuring the adoption of industry best practices in an Agile environment. This position is ideal for an expert in AOSP who can navigate the complexities of Android middleware, multimedia, and system-level communications. 

What you'll do

  • Software Development & Architecture: Design, implement, and support new feature development using Java and Kotlin, utilizing proof-of-concepts and prototypes to validate technical directions. 

  • AOSP Leadership: Lead the implementation of system-level components, including headless services, APIs, AIDLs, HAL, and HIDL. 

  • Technical Mentorship: Lead a small team of junior developers, providing guidance, conducting design reviews, and performing constructive code reviews. 

  • Quality & Testing: Establish rigorous testing standards by writing comprehensive unit tests and utilizing frameworks like gtest, gmock, Robolectric, and Mockito. 

  • System Troubleshooting: Investigate, debug, and resolve complex bugs, race conditions, and bottlenecks using advanced tools like gdb and static analysis. 

  • Agile Collaboration: Work within an integrated team of developers and test engineers to investigate design options and deliver features that meet precise customer requirements. 

  • Innovation: Explore AI tools for software development and implement MCP (Model Context Protocol) servers and tools to improve engineering efficiency. 

What you'll need to get the job done

  • 10+ years of professional software development experience in Java and/or Kotlin. 

  • 4+ years of dedicated Android application and system development. 

  • 3+ years in a technical leadership or team lead capacity. 

  • Experience in the automotive industry is mandatory 

  • Direct experience with the AOSP level (Services, HAL, HIDL, AIDL). 

  • Experience with Multimedia and/or USB stacks on Android. 

  • Expert-level Java and Kotlin. 

  • Android Tools: Strong command of ADB, xTS (diagnosing issues reported by xTS), and streaming technologies (Bluetooth/USB). 

  • CS Fundamentals: Strong grasp of object-oriented design, data structures, and algorithms. 

  • Testing Frameworks: Proficiency with gtest, gmock, Robolectric, and Mockito. 

What will make us REALLY love you

  • Master's Degree in Computer Science or a related field. 

  • Knowledge of Machine Learning and experience using AI tools in the development process. 

  • Experience implementing MCP servers and tools. 

$140,000 - $170,000 a year
This position is for an active vacancy.

What you'll love about us:
At Syntronic, our employees are our greatest asset. We foster innovation, collaboration, and excellence, offering opportunities for personal and professional growth. Join a global community that values creativity and diversity.

Ready to Shape the Future with Us?
If you're ready to elevate your career and be part of a team that's making a real impact, we want to hear from you. Apply today and embark on your journey with Syntronic, where your ideas and innovations can truly make a difference.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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