Machine Learning Engineer

Machine learning is poised to fundamentally improve businesses of all kinds. Bring your expert point of view and help us redefine how machine learning gets done.


What you’ll be doing

  • Building a ground-breaking tool that enable data scientists and machine learning engineers to interact with and visualize numerical libraries (Numpy, Pandas, PyTorch, Tensorflow, SciPy, OpenCV, etc.)
  • Designing and implementing prototype machine learning projects to test various Streamlit workflows
  • Using Streamlit and bringing new ideas to the table on how to improve it

What you bring

  • You’re a seasoned Pythonista
  • You are comfortable using machine learning libraries such as Numpy, Pandas, PyTorch, Keras, Tensorflow, SciPy, and OpenCV
  • You have used different tools and dev environments for data science / ML, such as iPython, Jupyter, RStudio, Shiny, Plotly, and Tensorboard
  • You have experience working in a team and/or in a large codebase
  • You’re a master at the modern suite of engineering tools, like CircleCI and Github
  • Bachelor’s in CS, Engineering or related field or equivalent training / work experience

Level up bonus points

  • You know some Frontend too — you have experience with functional, imperative, and reactive programming in React, Javascript, and Typescript.
  • You know some Backend too — you’ve built production-ready backends, or dealt with server deployments using Docker, Github, Apache Arrow, and various AWS technologies including EC2, S3, and CloudFormation.

Send us your resume