We are seeking Fullstack Machine Learning Engineers to join one of our fastest growing clients: a decentralised compute protocol for the worlds deep learning models.

In this role, you will be a key part of the team responsible for designing and writing the code that allows users to submit data to a machine learning node – directly impacting the future of how machine learning is developed & deployed.

Key Responsibilities:

  • Designing and building the Python SDK that users will utilise to interact with the network nodes.
  • Designing and building the node functionality that will consume the submitted models and data.

.Qualifications of a successful candidate:

Experience with:

  • Building Python software development kits from scratch.
  • Low-level machine learning frameworks such as TensorFlow (other examples incl. PyTorch, MXNet, Caffe, Theano, Flax, DeepSpeed, CNTK)
  • Intermediate representations such as LLVM (other examples incl. SPIR-V, NNVM IR, AMD HIP IR, ONNX IR)
  • Front-end development experience with languages such a React.js

Complementary experience (not required but considered a huge bonus):

  • Rust programming languages & substrate framework
  • Work or study within the blockchain sector
  • Work or study in cryptography
  • Background in computer science research


  • Competitive Salary
  • Equity
  • Token allocation


  • Paid holiday allowance
  • Paid sick leave
  • Equipment budget
  • Company retreats

If you feel your skillset and experience could be suitable for this role, please apply directly or send a copy of your resume to ella.waddell@edr-gs.com.

To apply for this job email your details to ella.waddell@edr-gs.com.