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Summer Machine Learning / Backend Engineering Internship

Summer Candidates Only, if you are looking for hire earlier, please use other posting. Thank you.

  • Search for new dataset material to train our ML models (finding content and derived data which can be used to build our ground truth dataset).
  • Implement crawlers and data processing for those dataset collections
  • Work side by side with our engineering team to integrate this software
  • Implement internal tools to help augment, test, validate our datasets / models (backend and front end web development (Angular/Typescript))
  • Work with data scientist to design, execute, and monitor experiments to improve our ML models
  • Support ML development in production, by testing and identifying areas for improvement
  • Assist in brainstorming new approaches to ML problems
  • Define and manage the labeling of ground truth data by our labeling team
  • Support the team by running tests on our client applications (iOS / Web)
  • Support executive team with marketing collateral preparation.

Minimum Qualifications

  • Pursuing CS or holding CS degree or equivalent work experience
  • Related intern and or industry experience working projects
  • Experience with at least one of: Node/Typescript, Python or Java languages
  • Outstanding technical problem solving and debugging ability
  • Self-motivated to learn and execute with attention to detail in documentation and execution
  • Ability to handle technical and design ambiguity

Preferred Qualifications

  • Experience with control Version / Git. 
  • Git workflow, Continuous Integration / Deployment: bonus points.
  • Experience with software building tools like Gradle / Maven
  • Experience with CI/CD frameworks
  • Experience writing with command line tools
  • Experience with AWS.
  • Experience working remotely with an international team in different timezones.
  • Experience with any/all of the following are a plus:
  • Machine Learning
  • Understanding of modern architectures like Convolutional Neural Networks, Transformers, Recurrent Neural Networks, etc.
  • GPU or similar parallel programming architecture optimizations
  • Experience with Pytorch, TensorFlow, MXNet, or a similar deep learning framework
  • DevOps / Infrastructure
  • Software test methodologies or QA