Job Description

As a Machine Learning Engineer, you will:

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  Write production-quality code that solves real-world problems, in any of our supported company development languages
  


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  Create blog posts, integrations & demos for end-to-end machine learning systems
  


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  Build & maintain build/runtime environments for all major machine learning frameworks: Tensorflow, PyTorch, MXNet, Caffe, AllenNLP, SpaCy, etc
  


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  Develop tools to use for Data Scientists from top Fortune 100 companies around the world
  


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  Work with a passionate, distributed team on the cutting edge of AI/ML infrastructure
  


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  Have a real career plan, with mentorship and fast-track opportunities to a promotion, technical leadership, people management, or wherever your interests maybe
  


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  Work anywhere in the US or Canada
  

And we might make the perfect match if you:

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  Are a skilled software engineer with experience in more than one programming language  (such as Python, Java, Scala, etc.) and deep understanding of at least one (we do a lot of Python - and will be happy to teach you the other languages)
  


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  Have deep empathy for users, and understand that company would not exist without them
  


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  Experience working on distributed systems, industry data science, any kind of public AI/ML projects, distributed or parallel computing, or the implementation of something cool on our AI marketplace (hint: free trial!)
  


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  Are current on the state-of-the-art in machine learning algorithms in the industry
  


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  Having practical experience or a degree (MS/Ph.D. is a plus) in Computer Science including practical areas of Machine Intelligence (or Deep Learning), and excellent fundamentals in computer science, algorithms, and software design
  

As a Machine Learning - Infrastructure Engineer you’ll join a passionate team that’s changing the way everyone uses AI and ML. You’ll solve real problems, make an impact, and work in a flexible environment that encourages you to follow your own interests as well. You’ll be welcomed into an intelligent, quirky, and diverse group and gain access to fantastic perks beyond just salary, equity, and insurance benefits - all from the comfort of your own sofa (or our dog-friendly office).