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Applied Machine Learning Engineer
Confirmed live in the last 24 hours
Locations
Toronto, ON, Canada • San Francisco, CA, USA • Mountain View, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Pytorch
Tensorflow
Natural Language Processing (NLP)
Python
Requirements
  • You have experience building industry-specific NLP solutions using LLMs (e.g. text classification, semantic search)
  • You have an understanding of transformer-based network architecture and functionality
  • You are proficient in Python and at least one popular deep learning framework (TensorFlow, PyTorch, or JAX)
  • You have experience with managing datasets for DL model training and fine-tuning
  • You enjoy helping bring a solution from the proof of concept stage all the way to general productization
  • You have strong analytical skills and can formulate a logical approach to problem-solving and planning your work
  • You have excellent documentation and communication skills, and can seamlessly toggle between leading conversations with customers and getting into the technical weeds with the internal engineering team
Responsibilities
  • Engage with enterprise customers to understand their needs
  • Develop solutions for customers using cohere's API
  • Contribute in expanding the endpoints and features of our API
  • Function as an internal customer by heavily using cohere's API and helping to shape and improve it
  • Collaborate closely with experienced Software and Machine Learning Engineers, and other experts
  • Ensure that we are building the most useful NLP platform around
Cohere

11-50 employees

Natural language processing software
Company Overview
Cohere's mission is to build machines that understand the world, and to make them safely accessible to all.