Practical Research Engineer at Cohere Labs (Toronto)

Cohere Labs seeks practical Research Engineers passionate about transforming research ideas into functional systems. If you're ready to build experiments and collaborate on machine learning and NLP projects, we want to hear from you. In this hands-on role, you'll work closely with scientists and engineers to implement innovative methods and scale training pipelines. Strong fundamentals in machine learning and coding will set you up for success. Embrace curiosity while swiftly adapting to a energetic research environment and impacting AI development. Key Responsibilities: • Build and run large-scale experiments collaboratively • Debug models and iterate on design rapidly • Scale training pipelines for efficient data handling • Implement new methods in close collaboration • Translate research ideas into operational systems Requirements: • Background in machine learning, NLP, or related fields • Experience with deep learning frameworks like PyTorch • Strong coding skills for clean, maintainable systems • Comfortable with experimentation and data analysis • Eagerness to learn and grow in AI research Shape the future of AI by applying your engineering skills at Cohere Labs. #J-18808-Ljbffr Apply on Kit Job: kitjob.ca/job/2pq862