Kubelt
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. #J-18808-Ljbffr
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. #J-18808-Ljbffr