Head of AI Research / Engineering

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 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.