Head of AI Research / Engineering
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 Kubelt
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...DetailsAbout SalesforceSalesforce is the #1 AI CRM, where humans with agents drive... ...specialized group of cross-functional security engineers working at the intersection of offensive... ...a strategic partner to Salesforce's AI Research, Ethics, Engineering, and Cybersecurity Operations...Shift work- Synhawk in San Francisco is seeking a Member of Technical Staff to enhance AI research aimed at communication integrity. You will develop foundation models and media integrity methods in a real production pipeline. This position balances practical applications with advanced...
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About Cogent Security Cogent is an Applied AI Lab building the next generation of AI... ...stay at the cutting edge, we blend frontier research with real-world execution. Alongside our... ...of Cogent's mission. As an AI Research Engineer, you will work at the frontier of automated...$190k - $280k
...Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading... ...Area, Seattle, and London. About the Role We are seeking a Research Engineer to join our interdisciplinary AI team, working at the...Flexible hours- About the role As an AI Engineer on our research team, you’ll work on our hardest research and AI infra problems. You’ll help prototype new products and turn prototypes into high‑quality AI products. Hard problems include passing the healthcare billing Turing Test— would...Work at officeFlexible hours
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