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

Compensation:

• Competitive Salary
• Equity
• Token allocation

Benefits

• 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.