Open Application

Gensyn

AnywhereOther

The Role

  • You tell us!

Responsibilities

  • Further our mission to build the infrastructure to train ultra-high scale, open source, foundation models

Competencies

Must Have

  • Autonomy - able to drive things forward in a high entropy environment
  • Deep appreciation of small-scale, high-powered teams

Preferred

  • Web3 experience - previously worked on a low-level web3 protocol
  • Machine learning experience - previously worked closely with ML technologies as a developer or power user

Nice to Have

  • Cryptography engineering (with a focus on GPUs)
  • Understanding and navigating AI & Crypto regulations
  • Cryptoeconomics and game theoretic design

Compensation / Benefits

  • Competitive salary + of equity and token pool
  • Fully remote work - we currently hire between the West Coast (PT) and Central Europe (CET) time zones
  • Visa sponsorship - available for those who would like to relocate to the US after being hired
  • 3-4x all expenses paid company retreats around the world, per year
  • Whatever equipment you need
  • Paid sick leave and flexible vacation
  • Company-sponsored health, vision, and dental insurance - including spouse/dependents [🇺🇸 only]

Our Principles

Autonomy & Independence

  • Don’t ask for permission - we have a 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.
  • Communicate to be understood rather than pushing out information and expecting others to work to understand it.
  • Stay a small team - misalignment and politics scale super-linearly with team size. Small protocol teams rival much larger traditional teams.

Rejection of mediocrity & high performance

  • Give direct feedback to everyone immediately - rather than avoiding unpopularity, expecting things to improve naturally, or trading short-term pain for extreme long-term pain.
  • Embrace an extreme learning rate - rather than assuming limits to your ability / knowledge.
  • Don’t quit - push to the final outcome, despite any barriers.
  • Be anti-fragile - balance short-term risk for long-term outcomes.
  • Reject waste - guard the company’s time, rather than wasting it in meetings without clear purpose/focus, or bikeshedding.