Research Engineer, Machine Learning (Toronto)

About the Role We’re looking for Research Engineers who enjoy getting their hands dirty: building experiments, debugging models, scaling training pipelines, and turning research ideas into working systems. This is a highly practical role. You’ll work closely with scientists and other engineers to implement new methods, run large-scale experiments, and help shape the infrastructure that supports our research programs. You don’t need to have everything figured out yet. We care more about curiosity, solid fundamentals, and a willingness to learn quickly in a fast-moving research environment. Qualifications Strong engineering background in machine learning, NLP, or related areas (through a Master’s degree, industry experience, or equivalent hands‑on work). Enjoy writing clean, reliable code and building systems that others can use and extend. Comfortable experimenting, running ablations, analyzing results, and iterating quickly. Experience with deep learning frameworks and model optimization techniques (PyTorch, distributed training, RLHF, fine‑tuning, evaluation frameworks). Like collaborating closely with researchers and translating ideas into practical implementations. Excited to grow research instincts while staying grounded in engineering excellence. Benefits Open and inclusive culture and work environment. Work closely with a team on the cutting edge of AI research. Weekly lunch stipend, in‑office lunches and snacks. Full health and dental perks, including a separate budget to take care of mental health. 100% parental leave top‑up for up to 6 months. Personal enrichment benefits towards arts and culture, fitness and well‑being, quality time, and workspace improvement. Remote‑flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co‑working stipend. 6 weeks of vacation (30 working days). Equal Opportunity Employer We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. Apply on Kit Job: kitjob.ca/job/2pro3l