---
title: 'Quantitative Researcher at Hyperbolic Labs'
canonical: 'https://feeny.ai/job/quantitative-researcher-hyperbolic-labs-san-francisco-1j2y376nj205'
type: 'job'
last_seen: '2026-09-15'
---

# Quantitative Researcher at Hyperbolic Labs

- **Company:** Hyperbolic Labs
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Posted:** 2026-09-09
- **Last confirmed live:** 2026-09-15
- **Apply:** https://jobs.ashbyhq.com/hyperbolic/fd861fe3-88a2-436d-8391-c5c8f35e5793

## Job description

## Who We Are

Hyperbolic Labs is on a mission to democratize AI by breaking down the barriers to computing power with our Open-Access AI Cloud. By making better use of idle computing resources across the globe, we offer an innovative GPU marketplace and AI inference service that promise affordability and accessibility for all. As pioneers at the intersection of AI and open-source technology, we believe in an open future where AI innovation is limited only by imagination, not by access to resources. We're looking for forward-thinking individuals who share our passion for making AI universally accessible, secure, and affordable. Join us in building a platform that empowers innovators everywhere to turn their visionary AI projects into reality.

## About the Role

Compute is becoming a traded asset, and almost none of the market structure exists yet. There is no settled forward curve, no standard contract, no consensus on how to price optionality on a GPU-hour. We're building the financial layer of our marketplace, and we're looking for a Quantitative Researcher to own the modeling behind it. You'll build the pricing models that set spot and term rates dynamically across GPU types and regions, hedge our compute portfolio using both conventional derivatives and non-traditional instruments, and design the options and futures structures that let customers and suppliers transfer compute risk. You'll also be our read on the market — where pricing is heading, what's tradable, and what we should be building next. This is early, unmapped work: you'll be defining the methodology rather than applying an existing one.

## Who You Are

- 5+ years in quantitative research, trading, or structuring, with hands-on experience building pricing or risk models that were actually traded on, not just backtested
- Deep fluency in derivatives pricing and hedging — options, futures, forwards — and the ability to reason about instruments where no liquid market or clean volatility surface exists
- Experience constructing hedges for a portfolio of physical or contracted assets, using both conventional derivatives and non-standard instruments
- Dynamic pricing expertise: building models that set spot and term prices from supply, demand, and inventory signals in near real time
- Strong programming skills in Python and comfort working directly with messy production data rather than a curated research dataset
- Ability to structure new financial products from first principles, including contract design, settlement mechanics, and the assumptions underneath them
- Clear communicator who can defend a model to finance, engineering, and commercial stakeholders and translate output into a decision
- Comfortable operating with ambiguity, incomplete data, and no established playbook for the asset class

## Preferred Qualifications

- Experience in commodities, power, or energy markets — the closest existing analogue to compute, with similar delivery, storage, and locational constraints
- Background in market making, systematic trading, or structuring at a hedge fund, prop shop, bank, or exchange
- Exposure to nascent or illiquid markets where you had to build the curve rather than consume it
- Familiarity with GPU compute, AI infrastructure economics, or data center cost structures
- Experience with crypto or other markets where compute, hashrate, or energy was the underlying
- Advanced degree in a quantitative field, or equivalent demonstrated depth

Hyperbolic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

## About Hyperbolic Labs

## Company Overview
- **One-liner**: Hyperbolic provides an open-access cloud platform offering affordable, on-demand GPU compute and AI inference services for developers, researchers, and AI teams.
- **Entity Type**: Private (Series A)
- **Headquarters**: San Francisco, California, United States (also listed as Irvine, California, per CB Insights) [LinkedIn], [CB Insights]
- **Founded**: 2022 [CB Insights]
- **Founders**: Jasper Zhang (CEO) and Yuchen Jin (CTO, departed April 2026) [hyperbolic.ai/about], [LinkedIn]

## Core Business
- **Primary industry/industries**: AI Infrastructure, Cloud Computing, GPU-as-a-Service
- **Target customers**: B2B – AI startups, ML engineers, academic researchers, enterprise AI teams, and individual developers.
- **Mission or purpose statement**: “Build the world's most accessible and comprehensive AI platform, empowering developers with affordable, seamless access to meet all their AI needs in one unified platform.” [hyperbolic.ai/about]

## Products & Services
- **On-Demand GPU Clusters**: Rent H100/H200 GPUs in under one minute with no sales calls or quota limits. Pay-as-you-go, scale up/down as needed. [hyperbolic.ai]
- **Reserved Clusters**: Guaranteed, isolated capacity for long-term workloads at discounted prepaid pricing. Ideal for 24/7 inference or large training jobs. [hyperbolic.ai]
- **Dedicated Endpoints**: Single-tenant GPU instances with private endpoints for high-throughput inference (100K+ tokens/min) and full control. Hourly pricing. [hyperbolic.ai]
- **Serverless Inference API**: OpenAI-compatible API to run models like Llama, Qwen, DeepSeek, SDXL, Flux, etc. Swap base URL and key with minimal code changes. [hyperbolic.ai]
- **AI Consulting Services**: Engineering support for setup, scaling, sharding, and debugging across training, fine-tuning, and inference. [hyperbolic.ai]

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Total Funding**: $19.73M (Series A: $12M in December 2024; Seed: $7M in July 2024; additional earlier rounds) [LinkedIn], [CB Insights]
- **Notable Investors/Partners**: Variant, Polychain Capital, Chapter One, Faction, Bankless Ventures, Blockchain Builders Fund, and 29+ others. [CB Insights]
- **Growth Signals**: 200,000+ builders on the platform; claims 3–10x less expensive than inference competitors; presence in 5 countries (US, Singapore, Vietnam, France, South Korea). [hyperbolic.ai], [LinkedIn]
- **Key Metric**: Total funding $19.73M; no public revenue data.

## Competitive Advantages
- **Cost leadership**: 3–10x cheaper than competing inference providers, with no hidden fees or long-term commitments. [hyperbolic.ai]
- **Zero quota limits**: No artificial caps on GPU usage – provision instantly. [hyperbolic.ai]
- **Unique model support**: Only platform serving Llama-3.1-405B-Base in BF16 (high-precision) and FP8 (ultra-fast inference). Endorsed by Andrej Karpathy. [hyperbolic.ai]
- **Open-access ethos**: Focus on democratizing compute by aggregating underutilized GPUs (consumer-grade and data center), enabling AI development without vendor lock-in. [hyperbolic.ai/about]
- **Speed**: Deploy a cluster in under one minute; pay with credit card or crypto. [hyperbolic.ai]

## Strategic Focus
- **Scalability & automation**: Building the most automated platform to eliminate sales calls and friction. [hyperbolic.ai/about]
- **Open ecosystem**: Partnering with top research labs, institutions, and major AI/ML teams to advance open-source AI and open-access compute. [hyperbolic.ai/about]
- **Expanding model variety**: Continuously adding new state-of-the-art models and inference optimizations. [hyperbolic.ai]

## Why Work Here
- **Culture**: Emphasizes “open access, collaboration, innovation, and automation.” Founding story rooted in removing barriers for developers and researchers. [hyperbolic.ai/about]
- **Team**: Small (17 employees as of mid-2026), with a flat structure and hands-on roles. Engineering-centric (5 technical staff) plus growing GTM and product teams. [LinkedIn]
- **Remote/Hybrid**: HQ in San Francisco; employees across 5 countries – likely offers remote flexibility, though policy not explicitly stated. [LinkedIn]
- **Notable perks**: Work on cutting-edge AI infrastructure; direct impact on product; collaboration with top AI labs; use of latest GPUs (H100/H200). [hyperbolic.ai/about]
- **Caution**: Recent high-profile departures (co-founder/CTO Yuchen Jin, Head of Business Operations, and a founding AI engineer in April 2026) – candidates should investigate stability and leadership continuity. [LinkedIn]

## Sources
1. [Hyperbolic – Official Website](https://www.hyperbolic.ai/)
2. [Hyperbolic – About Page](https://www.hyperbolic.ai/about)
3. [Hyperbolic – LinkedIn Company Page](https://www.linkedin.com/company/hyperbolic-labs)
4. [Hyperbolic Labs – CB Insights Profile](https://www.cbinsights.com/company/hyperbolic-labs)
5. [Hyperbolic – Careers Page (Ashby)](https://jobs.ashbyhq.com/hyperbolic)

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