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Deep Learning Engineer – Remote in US – Up to $200k + Equity!

Job description

Deep Learning Engineer – Remote in US – Up to $200k + Equity!

I have started working with an exciting and innovative company who operate on a fully remote basis.

Offering a pioneering platform that seeks to expand access to building and deploying Machine Learning models, this revolutionary company and their project is something you don’t want to miss!

The company is just about to announce Series A funding and is looking for ambitious and talented engineers to scale-up and help build/deploy the future of the Machine Learning landscape.

This growing start-up is looking for Machine Learning Engineers who are on the cutting edge of Deep Learning practices, and have a passion for researching state-of-the-art ML practices.

You will work alongside a fully remote team of engineers based across the world, collaborating on some of the biggest challenges and engaging projects in the ML space.

The best thing about this role is the freedom to research and constantly develop your skillset whilst answering the big questions in Machine Learning/Deep Learning.

You must have 2+ years experience working as a Machine Learning engineer and have the below requirements.

Technical skills:

  • Python experience (2+years)
  • PyTorch / TensorFlow experience
  • Experience conducting Machine Learning research
  • Extensive experience building/deploying and optimizing Deep Learning models
  • Good English/communication skills
  • Preferably some experience in NLP

If you’re interested in the role then please message me directly or via my email address at william.cokayne@amicusjobs.com