We are seeking Machine Learning GPU 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 building a novel machine learning verification framework – directly impacting the future of how machine learning is developed & deployed.

Key Responsibilities:

  • Working with a variety of computer science principles to research & design novel, low redundancy machine learning verification mechanisms.
  • Working with the cutting-edge of machine learning tech to fork and modify existing frameworks and low-level libraries to build a new way of performing machine learning computations.
  • Implementing newly proposed techniques for these frameworks in constrained environments in production code.
  • Co-authoring technical reports & conference papers to present & discuss the Gensyn system with the wider community – including machine learning researchers, engineers and academics globally.

Qualifications of a successful candidate:

Experience working with:

  • Low-level compiler tech such as: Intermediate representations such as LLVM (other examples incl. SPIR-V, NNVM IR, AMD HIP IR)
  • Parallel programming platforms such as CUDA (other examples incl. OpenCL, DirectCompute, Vulkan)
  • Low-level computer science principles such as efficient data structures (other examples incl. deterministic vs non-deterministic functions, floating point implementations)
  • Machine learning hardware such as GPUs (other examples incl. CPUs, TPUs, IPUs, FGPAs)

Deep understanding of:

  • Computational bottlenecks
  • Low-level machine learning frameworks

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.