Head of AI Research/Engineering
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-06-24
Listing for:
Kubelt
Full Time
position Listed on 2026-06-24
Job specializations:
-
IT/Tech
Data Science Manager, Machine Learning/ ML Engineer, Cybersecurity, Data Scientist
Job Description & How to Apply Below
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.
RoleThis 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 years
Build development infrastructure from scratch to train frontier models
- Team will start off with 3-5 individuals and probably will quickly grow to 15, eventually 50-150 people in 2-3 years
- 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
- 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.
Competitive salaries, including equity, apply.
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