Hands-On Research Engineer Role (Toronto)

Explore practical engineering solutions as a Research Engineer, focusing on building experiments and debugging models in a collaborative team workplace. Help translate research ideas into tangible systems while enjoying a flexible work culture. This position emphasizes a hands-on approach, with strong fundamentals in machine learning, NLP, or related fields. You’ll collaborate closely with scientists and fellow engineers to implement innovative strategies and run large-scale experiments. A willingness to learn quickly in a fast-paced environment is crucial for this role. Key Responsibilities: • Develop experiments and debug machine learning models • Scale training pipelines effectively for research projects • Collaborate with engineers and scientists on implementations • Analyze experimental results and iterate on solutions • Write clean, efficient code for future use and expansion Requirements: • Strong background in machine learning or NLP • Experience with deep learning frameworks like PyTorch • Comfortable with iterative experimentation and results analysis • Passion for engineering excellence and research growth • Master’s degree or equivalent experience in related fields Bring your curiosity, skills, and collaborative spirit to make an impact as a Research Engineer. Apply on Kit Job: kitjob.ca/job/2ps4z3