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Kubelt

Head of AI Research / Engineering

Kubelt, San Francisco

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About Us

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 emulation5y+ : 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 yearsBuild 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.

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