Eon collects large-scale neuroscientific data sets to train machine learning based brain emulations. We believe it is possible to scale this technology in a safe, secure and trustworthy manner in the next decade and empower humanity in unprecedented ways.

Role

This is a senior / executive role responsibile for leading and enabling our AI research and / or engineering team to scientific breakthroughs on machine learning driven brain emulation, using exabytes of neurodata.

Responsibilities

  • Executing and shaping strategy:

    • Early: neurodata scaling laws, transformer based non-invasive human brain foundation model and small organisms emulations

    • Medium: GPT-4 sized training runs for Mice and Non-Human Primate emulation

    • 5y+ : Human brain emulation prototypes on exascale compute

  • Budgeting: Responsible for R&D budget

    • Expected budget of ~$30M in first 18 months, eventually hundreds of millions of dollars. (A similar amount will be invested in data acquisition efforts.)

  • Team leadership and development

    • Team will start off with 3-5 individuals and probably will quickly grow to 15, eventually 50-150 people in 2-3 years

    • Build development infrastructure from scratch to train frontier models

  • Department specific Regulatory Compliance and Risk Management

  • Stakeholder & partnership engagement

    • Close collaboration with our data acquisition team

    • Data centers and cloud providers

    • Research institutions like Mila, Allen Institute or Janelia

    • Publication of technical reports / papers

  • Fundraising

Skills

  • Technical

    • Experience with training large multi-billion parameter models on multimodal datasets

    • 5-10+ years of industry experience in software development and exceptional ability.

    • Demonstrated experience with distributed computing frameworks and large-scale cloud services.

    • Ideally experience with the different types of neuroscientific datasets.

  • Leadership

    • Oversaw engineering departments, ideally in a start-up context

  • Publication track record

  • We expect everybody, independent of their role to be

    • Practicing proactive, concise, and clear written communication.

    • Exceptionally output driven and a well-calibrated, fast, autonomous, and diligent problem-solver.

    • Excited about startup athmosphere - high initiative, agile, and a can-do attitude in a fast changing environment.


Salary

Competitive salaries, including equity, apply.

Location

San Francisco

Job Overview
Job Posted:
1 day ago
Job Expires:
Job Type
Full Time

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