Remote worldwide
Posted 11 months ago
Decentralised compute to push the boundaries of machine learning
Machine learning models areĀ driving our cars, testing ourĀ eyesight, detecting ourĀ cancer, giving sight to theĀ blind, giving speech to theĀ mute, and dictating whatĀ 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: fromĀ never-ending TV seriesĀ (where weāre the main character) toĀ personalised tutorsĀ that areĀ infinitely patientĀ and leave no student behind. Weāll augment our memories withĀ foundation modelsāindividually tailored to us throughĀ RLHFĀ and connected directly to ourĀ thoughtsĀ via Brain-Machine Interfacesāblurring 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 resourceāoutside of centralised control and as ubiquitous as electricityāaccelerating AI progress and ensuring that this revolutionary technology is accessible toĀ all of humanityĀ through a free market.
AUTONOMY
FOCUS
REJECT MEDIOCRITY
š Design/implement system for orchestration of ML execution - enable training across our uniquely decentralised and heterogeneous infrastructure.
šĀ Performance optimisation - continually profile and optimise our training algorithims
š Implement novel research - build out newly proposed mechanisms and algorithms to solve never-tackled-before problems
š Engineering support - work with the rest of the team on wider issues concerning ML (e.g. reproducible training)
š Write & engage - contribute to technical reports/papers describing the system and discuss with the community
ā Hands-on distributed foundation model training - experience designing and/or working with training systems on large clusters
ā Networking - understanding and troubleshooting experience of the most common networking protocols: IP, TCP, UDP, HTTP. As well as experience in communications backends e.g. NCCL, GLOO and MPI.
ā Open source work - experience working with large open source codebases - either as maintainer or trusted contributor
ā 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
ā Computer science background - understanding of computational complexity (time, space) and broad knowledge of algorithms and data structures
ā Highly self-motivated with excellent verbal and written communication skills
ā Comfortable working in an applied research environment - with extremely high autonomy and unpredictable timelines
š„ Rust - strong experience with systems programming in Rust (you know what a 'lifetime is and understand the purpose of Pin)
š„ Research background - published research in the distributed systems or ML domains
š„ Blockchain - understanding of blockchain fundamentals
Ā
š° Competitive salary + share of equity and token pool
š Fully remote work -Ā we hire between the West Coast (PT) and Central Europe (CET) time zones
š¼Ā Relocation Assistance -Ā available for those that would like to move to a different location after being hired
š« 4x all expenses paid company retreats around the world, per year
š» Whatever equipment you need
ā¤ļø Paid sick leave
š„Ā Private health, vision, and dental insurance -Ā including spouse/dependents [šŗšø 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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