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

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.