Remote worldwide
Posted 12 months ago
Decentralised compute to push the boundaries of machine learning
Machine learning models are driving our cars, testing our eyesight, detecting our cancer, giving sight to the blind, giving speech to the mute, and dictating what we consume, enjoy, and think. These AI systems are already an integral part of our lives and will shape our future as a species.
Soon, we'll conjure unlimited content: from never-ending TV series (where weâre the main character) to personalised tutors that are infinitely patient and leave no student behind. Weâll augment our memories with foundation modelsâindividually tailored to us through RLHF and connected directly to our thoughts via Brain-Machine Interfacesâblurring the lines between organic and machine intelligence and ushering in the next generation of human development.
This future demands immense, globally accessible, uncensorable, computational power. Gensyn is the machine learning compute protocol that translates machine learning compute into an always-on commodity resourceâoutside of centralised control and as ubiquitous as electricityâaccelerating AI progress and ensuring that this revolutionary technology is accessible to all of humanity through a free market.
AUTONOMY
FOCUS
REJECT MEDIOCRITY
đ Lower deep learning graphs - from common frameworks (PyTorch, Tensorflow, Keras, etc) down to an IR representation for training - with particular focus on ensuring reproducibility
đ Write novel algorithms - for transforming intermediate representations of compute graphs between different operator representations.
đ Ownership - of two of the following compiler areas:
â  Compiler knowledge - base-level understanding of a traditional compiler (LLVM, GCC) and graph traversals required for writing code for such a compiler
â  Solid software engineering skills - practicing software engineer, having significantly contributed to/shipped production code
â  Understanding of parallel programming - specifically as it pertains to GPUs
â  Strong willingness to learn Rust - as a Rust by default company, we require that everyone learns Rust so that they have context/can work across the entire codebase
â Â Ability to operate on:
â Highly self-motivated with excellent verbal and written communication skills
â Comfortable working in an applied research environment -Â with extremely high autonomy
đ„ Architecture understanding - full understanding of a computer architecture specialised for training NN graphs (Intel Xeon CPU, GPUs, TPUs, custom accelerators)
đ„ Rust experience - systems level programming experience in Rust
đ„ Open-source contributions to Compiler Stacks
đ„ Compilation understanding - strong understanding of compilation in regards to one or more High-Performance Computer architectures (CPU, GPU, custom accelerator, or a heterogenous system of all such components)
đ„ Proven technical foundation - in CPU and GPU architectures, numeric libraries, and modular software design
đ„ Deep Learning understanding - both in terms of recent architecture trends + fundamentals of how training works, and experience with machine learning frameworks and their internals (e.g. PyTorch, TensorFlow, scikit-learn, etc.)
đ„ Exposure to a Deep Learning Compiler frameworks - e.g. TVM, MLIR, TensorComprehensions, Triton, JAX
đ„ Kernel Experience - Experience writing and optimizing highly-performant GPU kernels
**For potential candidates that are outside of these criteria, we still encourage you to apply as there may be openings with higher/lower levels than listed above.
đ° Competitive salary + share of equity and token pool
đ Fully remote work -Â we hire between the West Coast (PT) and Central Europe (CET) time zones
đ« 4x all expenses paid company retreats around the world, per year
đ» Whatever equipment you need
â€ïž Paid sick leave
đ„ Private health, vision, and dental insurance - including spouse/dependents [đșđž only]
Decentralised compute to push the boundaries of machine learning Gensyn connects all of the world's compute into a single network - enabling programmatic machine learning training at low cost and high scale.
Compensation
Competitive
Role type
Full time
Visa sponsorship
Not provided
Benefits & perks
$81K - 125K
Full time
Remote
2022-08-20T14:00:12.865Z
$81K - 125K
Full time
Remote
2022-08-20T14:00:12.865Z
$81K - 125K
Full time
Remote
2022-08-20T14:00:12.865Z
Ground Floor, Verse Building, 18 Brunswick Place, London, N1 6DZ
108 E 16th Street, New York, NY 10003
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