Cohere - Research Internship Reinforcement Learning (Summer)

• Strong background in machine learning, particularly reinforcement learning and deep learning. • Proficiency in Python and experience with ML frameworks (e.g., PyTorch, TensorFlow). • Familiarity with LLMs and their training paradigms. • Experience with coding tasks, unit testing, or compiler tools is a plus. • Educational Background: • Currently pursuing a Master’s or PhD in Computer Science, Machine Learning, or a related field. • Ability to work independently and manage complex projects. • Strong problem-solving and analytical skills. • Excellent communication skills for collaborating with a research team. • Additional: • Prior experience with RLVR, self-distillation, or large-scale ML experiments is highly desirable. • Willingness to learn and adapt to new methodologies and tools. • If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! • 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. • Full-Time Employees at Cohere enjoy these Perks: • 🤝 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!)