EDR are hiring Deep Learning engineers for a hyper-funded start-up within the ML/AI ecosystem who aim to bridge the gap between the ML/DL & Web3 community.
This is a rare point-in-time opportunity; perhaps even once in a lifetime. Our client offers the chance to work on one of the world’s most important technology problems whilst revolutionising against established political and corporate interests that control and price gouge it. Our client will allow machine learning engineers and researchers to train models at a higher scale, and lower cost, than AWS; achieved via a highly specialised deep learning compute protocol with minimal verification overhead.
Responsibilities include:
Build the offchain runtime – implement novel distributed ML methods in production Python code for use by ML researchers and engineers globally
Build the ML SDK – wrap ONNX, PyTorch, Tensorflow, Keras, and other frameworks in intuitive ways for minimal friction when training over the Gensyn network
Design decentralised monitoring systems – build logging and model training monitoring systems in a uniquely challenging decentralised environment
Write – contribute to technical reports / papers describing the system and discuss with the community
Minimum requirements:
Experience with distributed model training – have previously built training pipelines using data and model parallelism over distributed (ideally highly distributed) hardware
Passion for decentralisation – an understanding of web3 technologies and decentralised principles
Python experience – history of building production-level models and systems in Python
Nice to haves:
Publications in distributed ML/DL
Rust experience
Some knowledge of protocol engineering
What we offer:
Competitive salary + share of equity and token pool
Fully remote work
Quarterly, all expenses paid, company meet-ups around the world (Mexico is next)
28 paid holiday days per year
Whatever equipment you need
Paid sick leave
To find out more, please send your CV/Resume to david.ferguson@edr-gs.com and book a 1:1 consultation at calendly.com/david-ferguson-3 for a time that suits you best.
To apply for this job email your details to david.ferguson@edr-gs.com.