Member of Technical Staff

Key Skills

Analytical and Problem solving, CUDA kernels, Effective communication skills, GPUs, JAX framework, Large data sets, Machine learning techniques, Natural Language Processing (NLP), NeurIPS, Python Programming, TensorFlow, Transformer

Job Description

We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learns to understand the meaning, sentiment, and intent of the words we use in a richness never seen before. 

We've recently raised our Series C, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.

We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, and was previously part of Google Brain. Our entire technical team is world-class. 

We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.

Why this role?

Design and implement novel research ideas. 

Ship state of the art models to production.

Deep connections to academia.

We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and conducting research depending on individual interest and organizational need.

Please Note: We have offices in Toronto, Palo Alto, and London but embrace being remote-first! There are no restrictions on where you can be located for this role.

As a Member of Technical Staff, you will:

• Design, train and improve upon cutting-edge models
• Develop new techniques to train and serve models safer, better, and faster
• Train extremely large scale models on massive datasets
• Engage in research collaborations with our partner organizations and academic affiliations
• Publish your work in top-tier conferences and journals
• Work closely with product teams to develop solutions
• Assist our legal teams with preparation of patents on developed IP
• Join us at a pivotal moment, shape what we build and wear multiple hats!

You may be a good fit if you have:

• Proficiency in Python and related ML 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
• Strong communication and problem-solving skills
• A demonstrated passion for applied NLP models and products
• Bonus: experience writing kernels for GPUs using CUDA
• Bonus: experience training on TPUs
• Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP)