| Job Posting Status: | Approved |
| Internal Status | Not Set |
Organization
| Organization Name | Vivid Machines |
JOB POSTING INFORMATION
| Position Type: | Professional Experience Year Co-op (PEY Co-op: 12-16 months) | ||||||||||||||||||||||||
| Job Title: | Machine Learning Intern - U of T Exclusive | ||||||||||||||||||||||||
| Job Location: | Toronto, ON | ||||||||||||||||||||||||
| Job Location Type: | Hybrid | ||||||||||||||||||||||||
| Number of Positions: | 1 | ||||||||||||||||||||||||
| Salary: | $35.00 hourly for 0 hours per week | ||||||||||||||||||||||||
| Start Date: | 05/01/2024 | ||||||||||||||||||||||||
| End Date: | 05/01/2025 | ||||||||||||||||||||||||
| Job Function: | Machine Learning | ||||||||||||||||||||||||
| Job Description: |
Job Title: Machine Learning Intern Duration: The employer is open to 4, 8 or 12-month durations. Please specify which work term duration you are available for in your resume. If you are available for 4 or 8-months, apply to the CSM posting If you are available for 12-months, please apply to the posting on this ECC career portal Location: Toronto, ON (Hybrid) Our mission is to empower fruit producers by providing per-plant visibility and understanding. We are here to help bring the future to farming. Vivid Machines is an innovative start-up that helps fruit farmers produce more food and less waste with our proprietary sensor and computer vision system. We are extremely passionate about supporting growers with the tools they need, as we continue pursuing our dream of taking farming to new heights. Our teammates never have to feel like they are cogs in a machine because they have the freedom to experiment with their ideas and own everything that they do. On this team, leadership doesn't micromanage and smother inspiration - in fact, they nurture and promote it. We value excellence, determination, curiosity, innovation, and most importantly, passion. We pride ourselves on being open-minded and decisive, with a keen ability to iterate quickly and deliver. We exist to help make farming easier and contribute to solving global food security. We are here to bring the future to fruit farming. What we do: By leveraging advanced vision sensors and state-of-the-art machine learning, we provide fruit farmers with plant-specific insights, capturing previously unobserved and invisible features to improve yield and product quality. Why our teammates love working here: You use cutting-edge technology to find novel solutions. You can't build out the future of fruit farming without getting your hands on the latest and greatest computer vision and AI technology. At Vivid Machines, you are embarking on a journey that will evolve an entire industry, and our drive to make this vision a reality is unstoppable. Vivid Machines began transforming AgTech in rural Ontario and is now expanding its reach to farmers in the US, and New Zealand. You collaborate with great minds in the pursuit of excellence. The only thing greater than the innovative products at Vivid Machines is its people. You are an expert in your trade, alongside your team. Vivid Machines employees are born leaders fuelled by passion and the desire to help change the world for the better. While you will enjoy the occasional good escape room, farm retreat or Wordle challenge, it's the clarity of your purpose that brings you closer to your colleagues. You share daring ideas that will become state-of-the-art products. Vivid Machines combines the speed of a scrappy startup with the level of knowledge you'd only find in a corporate C-Suite. Here, you are free to bring new and bold ideas to the table. You can experiment and iterate to perfection without having to worry about being bogged down by pending approvals, pointless meetings, or slow turnaround times. You are here because you are motivated, curious, and therefore trusted to help create a product that goes on to make agricultural history. Position Overview: We are seeking an undergraduate student who can help develop machine learning models to automate the data annotation process in Darwin, our annotation platform. You will have the opportunity to work alongside our machine learning an engineering team to train and fine-tune machine learning models to be integrated into Darwin. Responsibilities: Develop and implement machine learning models to automate data annotation tasks in Darwin. Work with large datasets to train and fine-tune models for optimal performance. Learn to navigate and utilize the features of Darwin for efficient model integration. Collaborate with cross-functional teams to integrate ML models into the annotation workflow. Conduct experiments and evaluations to ensure the effectiveness of developed models. Accommodation Note from University of Toronto University of Toronto strives to make the hiring process as accessible as possible. If you require accommodations at any point during the application and hiring process, please contact a member of your co-op/internship department. We will advise you on next steps or arrange necessary accommodations on your behalf, as required with the appropriate organization. Arts & Science Co-op students, please contact your Work Term Engagement Coordinator. Management Co-op students, please email mgmtcoop.utsc@utoronto.ca ASIP students, please email asip@utoronto.ca Engineering students, please email pey.coop@utoronto.ca |
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| Job Requirements: |
Qualifications: Strong programming skills in Python. Decent understanding of Machine Learning concepts. Familiarity with machine learning frameworks such as TensorFlow or PyTorch. Excellent problem-solving and analytical skills. |
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| Preferred Disciplines: |
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| Targeted Co-op Programs: |
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APPLICATION INFORMATION
| Application Deadline: | January 25, 2024 11:59 PM |
| Application Method: | Access applications through Engineering Career Centre |
ORGANIZATION INFORMATION
| Organization: | Vivid Machines |
| Division: | Main Office |
| Website: | www.vivid-machines.com |
ADDITIONAL INFORMATION
| Length of Workterm: | FIXED PEY Co-op: 12 months |
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