Machine Learning Research Engineer at RBC Borealis applying ML technology to complex problems with a focus on generative AI, NLP, and time series analysis.
About the role
- Research Engineer at Cohere Labs building experiments and systems for AI models. Collaborating with scientists and engineers to implement methods and run large-scale experiments.
Responsibilities
- Building experiments, debugging models, scaling training pipelines, and turning research ideas into working systems.
- Work closely with scientists and other engineers to implement new methods, run large-scale experiments, and help shape the infrastructure that supports research programs.
Requirements
- Have a 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.
- Are comfortable experimenting, running ablations, analyzing results, and iterating quickly.
- Have experience with deep learning frameworks and model optimization techniques (PyTorch, distributed training, RLHF, finetuning, evaluation frameworks)
- Like collaborating closely with researchers and translating ideas into practical implementations.
- Are excited to grow your research instincts while staying grounded in engineering excellence.
Benefits
- An 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 & snacks
- Full health and dental benefits, including a separate budget to take care of your 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!)
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