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About the Role

Contribute to developing reusable software to apply and scale research breakthroughs in machine learning and AI. Collaborate with top AI engineering team members, data scientists, and industry/health organizations.

Responsibilities

• Deliver software and models for AI development projects using an agile methodology.
• Design and develop reference applications and model templates that apply AI research to real-world problems.
• Design, develop, and contribute to open-source software applying AI research techniques.
• Mentor sponsor AI engineering team members and student researchers on industry collaboration projects.
• Develop prototypes and proofs of concept.
• Report and present software development outcomes, including demos, status, and results.
• Lead interns and manage their scope of work.
• Act as technical lead for multiple projects and deliver projects in collaborative settings.

Requirements

• 2+ years of experience in machine learning, developing, and deploying predictive models and optimizing algorithms.
• Experience applying machine learning research to novel problems and data sets.
• Demonstrated experience in machine learning and/or statistics.
• Demonstrated data engineering background working with messy real-world data.
• Demonstrated analytical skills to identify signal in data and feasibility of prediction.
• Software engineering background with experience in production deployment is preferred.
• Experience working on teams that land high-quality software successfully in production is preferred.
• Experience leading technical scope for multiple projects.
• Experience working with interns and guiding their work for achieving deliverables.
• Experience with parameter and architecture tuning of deep learning algorithms is preferred.
• Experience in leading open-source deep learning software frameworks (PyTorch, TensorFlow, CUDA) is preferred.
• User interaction/design expertise with Human-Computer Interaction (HCI) engineering is considered an asset.

Skills

• Python
• C/C++
• C#
• PyTorch
• TensorFlow
• CUDA
• Human-Computer Interaction (HCI)

Experience Level

• 2+ years of experience

Education Level

• Bachelor's degree in computer science, mathematics, electrical engineering, or related discipline
• Master's degree preferred

Salary/Compensations

• $100,600 - $125,800 per year

Benefits

• Vacation time
• Floater days
• GRRSP
• Health Spending Account
• Summer Hours program
• Flexible work arrangements

About the Company

• Vector believes AI powers possibility by advancing cutting-edge research and translating it into real-world impact through collaboration with research, industry, and government.
• Vector is committed to fostering a diverse and inclusive culture that reflects its values.

Equal Opportunity

• The Vector Institute welcomes applications from all qualified candidates, including those who are Indigenous, 2SLGBTQIA+, racialized persons/visible minorities, women, and people with disabilities.
• If you require an accommodation at any stage of the recruitment or selection process, please contact hr@vectorinstitute.ai.