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Member of Technical Staff - Finance Researcher

Halluminate· Finance Research / Research
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San Francisco$215k - $275k + equityFull-timePosted 2mo ago

About the role

Applied AI Research role focused on Finance within Halluminate, building benchmarks and RL environments for knowledge work in financial services and related industries.

Responsibilities

  • - This is an IC role focused on driving and defining the frontier of what AI looks like in Finance.
  • - Define and publish taxonomy of AI tasks/workflows in finance, and expanding that playbook to other industries to broader ecosystem and community
  • - Talk with real-world financial services leaders at major banks, private equity firms, hedge funds, etc to report on AI adoption, drawbacks, capabilities, buying decisions, priorities, etc.
  • - Translating real-world insights on AI capabilities into our roadmap for RL environment building within the core team
  • - Drive innovation of our RL environment problem building process with engineering and research teams - feedback directly contributing to core product and platform improvements
  • - Working with research team to define state of the art benchmarks, leaderboards, new research directions, etc.

Qualifications

  • - 4+ years of real-world experience in banking, consulting, strategic finance, investing, etc.
  • - Deep mission alignment to revolutionize the way Finance Knowledge Work is done in the world
  • - Ability to analyze massive amounts of information and communicate it clearly to researchers and finance industry leaders
  • - Product sense to interact between engineering and research team to improve platform and processes
  • - Detail oriented execution across projects, technical and problem solving skills to build and QA RL tasks
  • - Fluency in use of LLM/Agents in daily finance work (automating spreadsheet modeling, building evals, testing latest products in finance category)

Skills

Required:4+ years of real-world experience in banking/consulting/financeAbility to communicate insights to researchers and finance leadersProduct sense for engineering-research collaborationDetail oriented execution and problem solving for RL tasksFluency with LLMs/Agents in finance workflows

Benefits

  • - Fully covered healthcare coverage for yourself and subsidized for dependents (Medical, Dental, Vision)
  • - Relocation Stipend ($10k+)
  • - 401k (4% match)
  • - Free breakfast, lunch, and dinner while working
  • - Free gym membership
  • - Free transportation to and from the office (Ubers, Waymo)
  • - Visa Sponsorship (e.g. H1B)
Last updated Oct 7, 2026. Interested? Apply on the company site.
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About Halluminate

Data and RL environments to automate knowledge work

We help foundation model labs and enterprises train computer use AI with data and sandboxes. A knowledge worker spends 90% of their day on a computer. A productive AI agent must similarly learn how to use our computers, browsers, and software to deliver real world value. Today, browser and computer use AI is inaccurate, slow, and expensive. Model labs and enterprises who want to improve these agents are bottlenecked by two resources: 1) High quality datasets for benchmarking and evaluations 2) Realistic sandbox environments for safe and accurate testing/training (ex. a simulated version of Salesforce) Halluminate offers a suite of products and services to address both these issues. Our evaluation service combines proprietary datasets with high quality annotations to help our customers identify and prioritize the biggest failure modes of their computer- and browser- use AI. Our platform provides a catalog of fully managed sandboxes, empowering our customers to safely and accurately test/train at scale, resulting in improved performance. Our customers see - Improved browser- and computer-use agent performance - New and emergent frontier agent capabilities - Data driven prioritization leading to exponentially faster development speed - Increased revenue/sales via marketing from public benchmarks Our paying customers already include leading computer use model labs and the two largest browser agent companies in the space. Wyatt and Jerry are friends that met their first week of school studying CS at Cornell University. They’ve been working and studying together for 7+ years.

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