Member of Technical Staff, Cohere

• Proficiency in Python and related ML frameworks such as PyTorch, Tensorflow, TF-Serving, JAX, and XLA/MLIR
• Familiarity with training and using various information retrieval models
• Experience leveraging Large Language Models as part of training data or evaluation pipelines
• Strong communication and problem-solving skills

Desirable

• We are looking for talented individuals to help us develop state-of-the-art models for information retrieval as part of our Search team
• This group is working on a range of tasks including training our embedding and reranker models
• You'll have the opportunity to revolutionise people's search experience by contributing to building an intelligent, efficient and precise search system and you would have a lot of opportunity to try new things out, innovate, and productionize your ideas
• Your work will specifically focus on advancing semantic search techniques to improve accuracy and efficiency, involving working with a wide range of novel technologies and collaborating with other teams to integrate your work into our search infrastructure
• We're looking for someone who is passionate about search and has a strong background in information retrieval
• Candidates should have experience working with a wide range of technologies and have worked collaboratively with other teams in the past
• Design, train and improve upon cutting-edge search models
• Gather high-quality retrieval datasets and optimize data pipelines for model training and evaluation
• Work closely with the model serving team to ensure that inference is fast and stable
• Collaborate with product teams to develop solutions
• Engage in research collaborations with our partner organizations and academic affiliations and publish your work in top-tier conferences and journals
• Join us at a pivotal moment, shape what we build, have a strong ownership mindset, and wear multiple hats!