Head of AI Research / Engineering

Eon Systems PBC; United States; On-site; USD 250,000 - 350,000; Full time

Job summary

An innovative firm is seeking a Head of AI Research/Engineering to spearhead groundbreaking advancements in brain emulation technology. This executive role will oversee a talented team, manage substantial budgets, and drive strategic initiatives using vast neurodata. The ideal candidate will possess extensive experience in AI, leadership skills, and a passion for pioneering research in a fast-paced environment. Join a forward-thinking organization dedicated to transforming the future of neuroscience and artificial intelligence, where your contributions will have a profound impact on humanity.

Qualifications

• 5-10+ years in software development with a focus on AI.
• Experience with multimodal datasets and cloud services.
• Proven leadership in engineering contexts.

Responsibilities

• Lead AI research and engineering teams for brain emulation.
• Manage R&D budget and team growth from 3-5 to 50-150.
• Engage with stakeholders and ensure regulatory compliance.

Skills

Training large multi-billion parameter models

Software development experience

Distributed computing frameworks

Neuroscientific datasets

Proactive communication

Problem-solving skills

Leadership in engineering departments

Job description

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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 responsible 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

1. 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
2. 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.)
3. 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
4. Department specific Regulatory Compliance and Risk Management
5. 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
6. Fundraising

Skills

1. 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.
2. Leadership
   • Oversaw engineering departments, ideally in a start-up context
3. Publication track record
4. 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 atmosphere - high initiative, agile, and a can-do attitude in a fast changing environment.

Salary

Competitive salaries, including equity, apply.

Seniority level

• Executive

Employment type

• Full-time

Job function

• Engineering and Information Technology

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