Head of AI Research / Engineering

Qualifications

• 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

Benefits

• Close collaboration with our data acquisition team
• Competitive salaries, including equity, apply
• #J-18808-Ljbffr

Responsibilities

• 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
• 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
• Department specific Regulatory Compliance and Risk Management
• Stakeholder & partnership engagement
• Publication of technical reports / papers
• Fundraising

Full Description

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 scientificbreakthroughs 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