Machine Learning Engineer

| Chicago
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What we’re looking for:

We are looking for a highly motivated, experienced, and creative Machine Learning Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, optimizing data flow and collection for the machine learning team, and deploying into production machine learning models. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up and can translate business needs into machine learning solutions. They must be self-directed and comfortable supporting the data needs of multiple systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives. The candidate will be comfortable with owning their work while also being detached from the results.

What you’ll do:

  • Build ETL pipelines for deep learning models

  • Build and deploy model microservices

  • Contribute to machine learning tools and infrastructure

What you bring to Arturo:

  • Professional Python experience

  • Experience with Tensorflow (or PyTorch, Caffe, etc.)

  • Experience with Amazon EC2/S3 (other cloud services will be considered)

  • Demonstrated machine learning experience (coursework, projects, or professional experience; must have publicly available code)

  • Ability to work with unstructured data

  • Professional/Academic experience in staging machine learning experiments.

  • Ability to write production-ready code

What you know:

  • Fundamental knowledge of machine learning.

  • Some familiarity with deep learning

  • Knowledge of modern software development best practices (Agile, Git, etc.)

 

Why you want to work here:

  • Unlimited PTO

  • Medical, Dental, and Vision Insurance

  • Life Insurance

  • 401k retirement plan

  • Casual working environment

  • Flexible office hours

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