Machine Learning Researcher

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Academic freedom.

Access to massive compute and elegant training tooling.

Deep connections to academia.

Who are we

We are a group of passionate researchers, engineers, and domain experts working on bringing large scale language models to the public. Our goal is to enable the deployment of state of the art transformer based neural networks safely and effectively. At Cohere, our mission is to build machines that understand the world, and to make them safely accessible to all.

As a Machine Learning Researcher, you will:

• Develop new techniques to train and serve model safer, better, and faster
• Publish at top-tier venues
• Engage in research collaborations with our partner organizations and academic affiliations
• Engage and support the academic community via reviewing and organizing
• Prepare tutorials and educational materials on complex ML topics
• Assist our legal teams with preparation of patents on developed IP
• Train extremely large scale models on massive datasets
• Support product teams to deploy newly developed techniques

  You may be a good fit, if you have:

• Papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP)
• 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

  The perks:

• Work closely with a team on the cutting edge of AI research
• Open and inclusive culture and work environment
• Full health, dental, and med.
• Free lunch
• Fitness + wellbeing initiative
• 6 weeks vacation
• Visa support, if required