<h2>What We Offer</h2><ol><li data-list="bullet">Paid internship (compensation: $5,000~$5,500 / a month)</li><li data-list="bullet">$30 daily meal allowance</li><li data-list="bullet">Unlimited Claude Code tokens</li><li data-list="bullet">Daily access to founders and senior GTM operators</li><li data-list="bullet">A real seat at the table</li></ol> <h3>Interview Process</h3>Application Review → Resume Interview → Culture Interview → Joining Please include in your application a response to the following question: 'What is the most interesting AI/ML team you have come across recently, and why?'

Application -Resume / Document Review - Resume Interview - Culture Interview - Joining

Position: GTM Research Internship (US)Location: San Francisco, CA (In-person)Type: Summer 2026 intern (10 to 12 weeks, full-time)<h2> </h2><h2>About VESSL AI</h2>AI researchers spend more time fighting for compute than doing research. Quota walls, rigid contracts, and fragmented supply across clouds and clusters mean teams are stuck waiting on a single provider that can't meet their needs.VESSL AI was built to fix that. We provision and route GPU capacity across multiple clusters and providers, giving AI teams one platform to access, scale, and manage compute, from a single GPU to thousands. Multi-provider procurement so you're never locked to one source. Full-stack cluster operations from build to production. Deep domain expertise in large-scale training optimization.We serve top research labs, academic institutions, AI startups, and enterprise teams globally. Customers include an Artificial Analysis Top 15 foundation model team, Physical AI startups, and research groups at Stanford, UC Berkeley, UMN, UCLA, NYU, and more. Founded in Seoul, South Korea, now expanding to San Francisco. Series A, ~40 people, scaling from 3,000 to 10,000 GPUs by Q4 2026. <h2>About the Role</h2>The GPU supply constraint has scrambled the AI infrastructure market. Demand is fragmented across thousands of teams running serious compute: frontier labs, AI startups at every stage, Physical AI companies, academic labs pushing on capacity, AI for science teams, enterprise ML platforms. You will be the person who maps that demand.This is greenfield research work at the highest-leverage point in our GTM motion. Without a clean map of who actually needs compute, every other GTM function is guessing. You will replace the guessing with data.You will work directly with the US GTM Lead. Your demand intelligence will feed the entire US pipeline.

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GTM Research Internship (US)

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<h2>What You'll Own</h2><ol><li data-list="bullet">North America demand map: every AI/ML team training, fine-tuning, or running inference at scale, segmented by stage, domain, and demand signal</li><li data-list="bullet">Buying trigger tracking: funding rounds, ML and infra hires, paper output, model releases, capacity bottlenecks, vendor switches</li><li data-list="bullet">Weekly demand intelligence brief: hot segments, supply gaps, market shifts, distributed to the US GTM team</li></ol>

Resume

Name

Email

Mobile Number

What is the most interesting AI/ML team you have come across recently, and why?

<h2>Who We Expect</h2><ol><li data-list="bullet">Currently pursuing a Bachelor's at a top program, or recently graduated</li><li data-list="bullet">Strong research instincts: finds signal where others see noise and validates hypotheses fast</li><li data-list="bullet">Deep market curiosity: actively tracks where the AI/ML infrastructure landscape is headed and how it's evolving</li><li data-list="bullet">AI-native: already uses n8n, Claude Code, or equivalent daily</li><li data-list="bullet">Operational ownership: ships the work, debugs the data, does not wait to be asked</li><li data-list="bullet">On-site SF for the full 10 to 12 weeks, Summer 2026</li></ol>

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