3 months ago
Toronto, Canada +3 moreIntern
H1B Sponsor
Responsibilities
- Design, train, and improve cutting-edge models.
- Develop techniques to train and serve models more safely, effectively, and efficiently.
- Train extremely large-scale models on massive datasets.
- Explore continual and active learning strategies for streaming data.
- Design and implement novel research ideas.
- Build training and deployment pipelines.
- Work closely with product teams to develop solutions.
Requirements
- Currently enrolled in a post-secondary program and available for a full-time 3–6 month internship, co-op, or research work term.
- Proficiency in Python and related machine learning frameworks such as TensorFlow, TF-Serving, JAX, and XLA/MLIR.
- Experience using large-scale distributed training strategies.
- Familiarity with autoregressive sequence models such as Transformers.
- Demonstrated passion for applied natural language processing models and products.
- Strong communication and problem-solving skills.
- Experience writing GPU kernels using CUDA is a bonus.
- Experience training on TPUs is a bonus.
- Papers at venues such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, or EMNLP are a bonus.
Benefits
- Full-time employees receive a weekly lunch stipend, in-office lunches and snacks, health and dental benefits, mental health support, parental leave top-up, personal enrichment benefits, remote-flexible work, coworking stipend, and six weeks of vacation.
- The role is a full-time 3–6 month internship, co-op, or research work term.
- Offices are located in Toronto, New York, San Francisco, London, and Paris.
Tech Stack
PythonTensorFlow
Categories
AI ResearchML Engineering
About Cohere
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation models and end-to-end AI products designed to solve real-world business problems. We partner closely with companies to deliver seamless integration, full customization, and easy-to-use solutions for their workforce and customers. Our all-in-one platform offers enterprises the highest levels of data security, privacy and optionality to deploy across all major cloud providers, private cloud environments, or on-premises. HQ: 171 John Street, 2nd Floor, Toronto, ON M5T 1X3