Machine Learning GPU Engineer

Data Science & Analytics

**Globally Remote**

24 May 2023

Full Time

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Gensyn is the hyperscale, cost-efficient compute protocol for the world’s deep learning models.

Research novel ML verification – work with determinism, game theory, optimisation theory, and more to design low-redundancy ML verification mechanisms; with a focus on making certain results reproducible across heterogenous hardware
Work with cutting-edge ML frameworks – fork and modify existing ML frameworks and low-level libraries (e.g. CUDA, OpenCL) to build a new way of performing ML computations
Build the offchain runtime – implement newly proposed techniques for the above in constrained environments in production code for use by ML researchers, engineers, and academics globally
Write & engage – contribute to technical reports/papers describing the system and discuss with the community

Background in relevant theory – i.e. computer science, machine learning, algorithms, distributed systems
Deep understanding of computational bottlenecks – experience working with low-level computer science principles (e.g. determinism vs non-determinism, floating point implementations, efficient data structures etc..)
Passion for decentralisation – an understanding of web3 technologies and decentralised principles
Low-level HW experience – Have worked directly on/with ML hardware (GPUs, TPUs, IPUs, etc..)

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