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Hourly Embedded Machine Learning Jobs in Toronto, ON

Embedded Software Test Engineer

Toronto, ON ยท Remote

CA$70K - CA$110K/yr

Machine Learning Test Developer Location: Markham ON Key Responsibilities * Test development for ... Embedded system testing (must have) * Excellent debugging and troubleshooting skills (must have)

Hands-on development of embedded C firmware, encompassing full feature enablement and test plan creation. * Design and implement machine learning algorithms specifically aimed at enhancing firmware ...

Design and deploy generative AI and machine learning solutions embedded in CRM and customer workflows * Build systems including LLM-powered copilots, agentic workflows, retrieval-augmented generation ...

... embedded across products, workflows, and engineering practices. You will join a high-growth ... You will operate at the intersection of software architecture, machine learning infrastructure, and ...

... embedded across products, workflows, and engineering practices. You will join a high-growth ... You will operate at the intersection of software architecture, machine learning infrastructure, and ...

The ideal candidate will bring deep expertise in advanced analytics, machine learning, causal ... Hourly team members get 15 days paid time off, with an additional day for each year of service

ML/AI Engineer

Toronto, ON ยท On-site +1

CA$110K - CA$150K/yr

... embedded in our clients' environments. At Levio, we valueexpertise, curiosity, and continuous ... The ML / AI Engineer design, build, deploy, and operate production-grade machine learning and ...

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Hourly Embedded Machine Learning information

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

To thrive as an Hourly Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer engineering or a related field. Familiarity with tools such as TensorFlow Lite, embedded Linux, microcontroller development environments, and model optimization frameworks is typically required. Strong problem-solving skills, adaptability, and effective communication help you address complex technical challenges and collaborate with cross-functional teams. These skills are crucial for designing efficient, real-time ML solutions that operate reliably on resource-constrained embedded devices.

How does an Hourly Embedded Machine Learning professional typically collaborate with hardware and software teams during a project?

As an Hourly Embedded Machine Learning professional, you will often work closely with both hardware and software engineering teams to ensure that machine learning models are efficiently integrated into embedded systems. This typically involves frequent communication to align on hardware constraints, such as memory and processing power, and to optimize algorithms for real-time performance. You may also participate in joint debugging sessions and code reviews to address integration issues and streamline deployment. Collaboration is key, as successful projects depend on the seamless interaction between machine learning solutions and the embedded hardware platform.

What is an Hourly Embedded Machine Learning engineer?

An Hourly Embedded Machine Learning engineer is a professional who specializes in developing and deploying machine learning models on embedded systems, such as microcontrollers, IoT devices, or edge devices, and is compensated on an hourly basis rather than a salaried or project-based arrangement. These engineers work to optimize algorithms so they can run efficiently on devices with limited computing power, memory, and energy resources. Their responsibilities often include model selection, quantization, optimization, and integration of machine learning pipelines into hardware. Hiring on an hourly basis allows for flexibility in project scope and duration, making it ideal for companies with specific, time-limited needs. They often collaborate with hardware engineers, data scientists, and software developers to create intelligent embedded solutions.

What is the difference between Hourly Embedded Machine Learning vs Hourly Data Scientist?

AspectHourly Embedded Machine LearningHourly Data Scientist
CredentialsKnowledge of embedded systems, programming, ML algorithmsDegree in Data Science, Statistics, or related field
Work EnvironmentEmbedded hardware, IoT devices, real-time systemsData analysis, modeling, visualization in office or cloud
Industry UsageConsumer electronics, automotive, IoT devicesFinance, healthcare, marketing, research

Hourly Embedded Machine Learning specialists focus on integrating ML models into embedded systems and hardware, often working with IoT devices and real-time constraints. In contrast, Hourly Data Scientists analyze large datasets to develop predictive models primarily in cloud or office environments. While both roles require programming skills, embedded ML emphasizes hardware integration, whereas data science centers on data analysis and visualization.

What are the most commonly searched types of Embedded Machine Learning jobs in Toronto, ON? The most popular types of Embedded Machine Learning jobs in Toronto, ON are:
What job categories do people searching Hourly Embedded Machine Learning jobs in Toronto, ON look for? The top searched job categories for Hourly Embedded Machine Learning jobs in Toronto, ON are:

Machine Learning - Master-Level Internship

Vosyn

Etobicoke, ON โ€ข On-site, Remote

$32/hr

Full-time

Posted 20 days ago


Job description

Job Title: Machine Learning - Master-Level Internship

Level: Master's Level Internship

Department: Software Development

Duration: 520 Hours (approximately 3 months)

Work location: Remote (with hybrid options in Toronto)

Compensation: Hourly ($32)

The Vosyn internship is unique. Remuneration is equivalent to $32.00 CAD per hour payable in common shares of the Corporation at the then fair market value. For greater clarity, NO cash in-hand (in hourly rate or salary) will be paid to the Intern. Instead, Vosyn being an AI start-up, the upside is in potential future value of said shares based on the hours worked, billed and approved.

About Us: At Vosyn, we embrace the exciting, game-changing world of Artificial Intelligence, driving innovation and pioneering impactful projects across various industries. We are a trailblazing Language Synthesis AI firm reshaping global communication by dissolving language barriers and empowering users. We believe in fostering a culture of flexibility, continuous improvement, and solution-focused strategies. Here, every idea is welcomed, nurtured, and has the potential to scale to new heights. Currently, we're at the forefront of a significant IPO endeavor, truly a unicorn in the making. We invite you to be part of our journey and leave your imprint on the future of AI.

About the Role: We are seeking a talented and motivated Machine Learning Intern to join our team. This role is ideal for a Master's level student passionate about applying machine learning techniques to solve real-world problems. As a Machine Learning Intern, you will work closely with our data scientists and engineers to develop, train, and deploy machine learning models that drive our technology forward.

Key Responsibilities:

  • Assist in designing and implementing machine learning algorithms and models.
  • Collaborate with data scientists to preprocess and analyze data for model training.
  • Evaluate model performance and refine algorithms to improve accuracy and efficiency.
  • Participate in the deployment of machine learning solutions into production environments.
  • Conduct experiments and document findings to support decision-making processes.
  • Stay current with the latest advancements in machine learning and AI technologies.

About You:

  • Currently enrolled or recently graduated from a Master's program in Computer Science, Data Science, Machine Learning, or a related field. Master's program enrollment or completion is mandatory.
  • Strong understanding of machine learning concepts and algorithms.
  • Experience with programming languages such as Python or R.
  • Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Knowledge of data preprocessing and analysis techniques.
  • Excellent analytical and problem-solving skills.
  • Ability to work both independently and collaboratively within a team.
  • Effective communication skills, both written and verbal.

Why Join Us:

  • Be part of the invigorating journey of a start-up transitioning to an IPO.
  • Engage directly with senior management and strategic advisory board members.
  • Enhance your CV with a rich array of experiences unique to Vosyn and AI Venture Lab.
  • Gain hands-on experience contributing to projects that drive growth and make a lasting impact in a fast-paced startup environment.


DEI and Workplace Safety:

At Vosyn Inc., we are committed to fostering a diverse, equitable, and inclusive workplace where every employee feels valued and supported. We believe that diversity of thought, background, and experience enriches our company culture and enhances innovation. We are an equal-opportunity employer and encourage candidates from all walks of life to apply. As part of our commitment to creating a safe and healthy work environment, we prioritize workplace safety, adhering to all relevant regulations and promoting a culture of responsibility. We believe that a safe and inclusive workplace is essential for the well-being and success of our team members. Join us in building a workplace that values diversity, prioritizes equity, and ensures the safety and well-being of every individual.

Recruitment Process:

  1. Application Submission: Candidates are invited to submit their resumes and cover letters through our career portal.
  2. Written Questionnaire: Selected candidates will receive a set of 10 written questions to assess their fit and technical knowledge..
  3. Video Questionnaire: Candidates who successfully pass the written assessment will be asked to answer 10 additional questions to be submitted in a video format to further evaluate their skills and cultural fit. The ability to video record your answers will be required.
  4. Evaluation: Our team will review the responses to both questionnaires. Candidates who meet our criteria will be invited to the next stage.
  5. Orientation Session: Successful candidates will be invited to participate in an orientation session where they will learn more about Vosyn, our projects, and what to expect during the internship. After this session, you will be given the opportunity to opt-in if you believe that this internship is for you.

Please note that only candidates who apply through our website will be contacted.

At Vosyn, we hire on a rolling basis, so we encourage you to apply as soon as possible. While we operate with flexibility, we also cater to academic semester work terms to align with school schedules, ensuring a smooth transition for students joining us.

Be a part of a fast-growing global organization that values diversity of thought, experience, and culture. Our interns come from top universities worldwide, and we invite you to contribute, learn, and grow with us on this exciting journey.


Apply Now:
Vosyn Careers

Employment Type: FULL_TIME