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Software Engineer - Distributed ML Training

Gensyn

Remote worldwide

Posted 11 months ago

Decentralised compute to push the boundaries of machine learning

Tech stack

  • Rust

The world will be unrecognisable in 5 years.

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 we’re the main character) toĀ personalised tutorsĀ that areĀ infinitely patientĀ and leave no student behind. We’ll augment our memories withĀ foundation models—individually tailored to us throughĀ RLHFĀ and connected directly to ourĀ thoughtsĀ via Brain-Machine Interfaces—blurring 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 resource—outside of centralised control and as ubiquitous as electricity—accelerating AI progress and ensuring that this revolutionary technology is accessible toĀ all of humanityĀ through a free market.


Our Principles:


AUTONOMY

  • Don’t ask for permission - we have aĀ constraint culture, not a permission culture.
  • Claim ownership of any work stream and set its goals/deadlines, rather than waiting to be assigned work or relying on job specs.
  • Push & pull context on your work rather than waiting for information from others and assuming people know what you’re doing.
  • No middle managers - we don’t (and will likely never) have middle managers.

FOCUS

  • Small team - misalignment and politics scale super-linearly with team size. Small protocol teamsĀ rivalĀ much larger traditional teams.
  • Thin protocol - build and designĀ thinly.
  • Reject waste - guard the company’s time, rather than wasting it in meetings without clear purpose/focus, orĀ bikeshedding.

REJECT MEDIOCRITY

  • Give direct feedback to everyone immediately rather than avoidingĀ unpopularity, expecting things to improve naturally, orĀ tradingĀ short-term pain for extreme long-term pain.
  • Embrace an extreme learning rate rather than assuming limits to your ability/knowledge.
  • DriveĀ -Ā push areas of ownership to final outcome, despite any barriers.


Responsibilities

šŸ‘‰ Design/implement system for orchestration of ML execution - enable training across our uniquely decentralised and heterogeneous infrastructure.

šŸ‘‰Ā Performance optimisation - continually profile and optimise our training algorithims

šŸ‘‰ Implement novel research - build out newly proposed mechanisms and algorithms to solve never-tackled-before problems

šŸ‘‰ Engineering support - work with the rest of the team on wider issues concerning ML (e.g. reproducible training)

šŸ‘‰ Write & engage - contribute to technical reports/papers describing the system and discuss with the community


Minimum requirements

āœ… Hands-on distributed foundation model training - experience designing and/or working with training systems on large clusters

āœ… 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.

āœ… Open source work - experience working with large open source codebases - either as maintainer or trusted contributor

āœ… 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

āœ… Computer science background - understanding of computational complexity (time, space) and broad knowledge of algorithms and data structures

āœ… Highly self-motivated with excellent verbal and written communication skills

āœ… Comfortable working in an applied research environment - with extremely high autonomy and unpredictable timelines


Nice to haves

šŸ”„ Rust - strong experience with systems programming in Rust (you know what a 'lifetime is and understand the purpose of Pin)

šŸ”„ Research background - published research in the distributed systems or ML domains

šŸ”„ Blockchain - understanding of blockchain fundamentals

Ā 

Compensation / Benefits:

šŸ’° Competitive salary + share of equity and token pool

🌐 Fully remote work - we hire between the West Coast (PT) and Central Europe (CET) time zones


šŸ’¼Ā Relocation Assistance -Ā available for those that would like to move to a different location after being hired

šŸ›« 4x all expenses paid company retreats around the world, per year

šŸ’» Whatever equipment you need

ā¤ļø Paid sick leave

šŸ„Ā Private health, vision, and dental insurance -Ā including spouse/dependents [šŸ‡ŗšŸ‡ø only]

Compensation

Competitive

Role type

Full time

Visa sponsorship

Not provided

Benefits & perks

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