Job Summary

As a Deep Learning Engineer on our Core Modeling team, you will work on our machine learning platform and actively contribute to the development of our state-of-the-art preprocessing and modeling capabilities.
Core Modeling owns the entire data science backend for DataRobot and is responsible for making sure our models and modeling automation are the best in the world.
We are looking for talented people with excellent engineering skills and deep knowledge of Machine Learning who can analyze problems, develop innovative solutions, and implement them for real-world use on top of our platform.
DataRobot is based around delivering best-in-class data science solutions and this position provides the opportunity to build the key data science components of our system focusing on Deep Learning.


  • Automate machine learning processes
  • Design and build machine learning models for scalability and accuracy
  • Work on development in the following areas: Image/Video, Text and Audio processing

 Main Requirements

  • 1-5 years of combined python Engineering / Data Science experience
    • Minimum 1 year of Engineering experience
    • Minimum 1 year of Data Science experience
    • Minimum 1 year of Deep Learning experience

 Desired Skills

  • Experience writing maintainable, testable, production-grade Python code
  • Good command of scientific Python toolkit (numpy, scipy, pandas, scikit-learn)
  • Understanding of different machine learning algorithm families and their tradeoffs (linear, tree-based, kernel-based, neural networks, unsupervised algorithms, etc.)
  • Understanding of time, RAM, and I/O scalability aspects of data science applications (e.g. CPU and GPU acceleration, operations on sparse arrays, model serialization and caching)
  • Software design and peer code review skills
  • Experience with automated testing and test-driven development in Python
  • Experience with Git + GitHub
  • Comfortable with Linux-based operating systems
  • Proficiency in Deep Learning Frameworks( Keras, Tensorflow, Pytorch, Caffe, Mxnet etc.)


  • Experience in semi-supervised/transfer learning
  • Experience working in image/video processing, NLP, time-series signal processing, or audio processing is a plus
  • Contribution to open-source data-science/deep-learning packages
  • Competitive machine learning experience (e.g. Kaggle)
  • Previous experience of deploying and maintaining machine learning models in production

Data Science


Our Data Science team is composed of people from around the globe united by their passion for predicting the future. From top Kagglers to engineers with deep algorithmic knowledge, we all love making DataRobot’s predictions better and faster. DataRobot is an ideal place to learn from the top Data Scientists in the world, and teach them a thing or two along the way.