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Member of Technical Staff

Transparent Search Group
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Workplace
Employment
Salary
USD 120,000–300,000/yr
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Member of Technical Staff - Transparent Search Group | Career Page

Member of Technical Staff

San Francisco, California, United States Transparent Search Group

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Job Openings Member of Technical Staff

About the job Member of Technical Staff

About Sphinx Labs Sphinx Labs is a YC-backed, $7M+ seed-stage startup building AI agents that tackle financial crime — the invisible backbone of global corruption. Trusted by leading banks and fintechs across the U.S., Canada, Europe, and LatAm, Sphinx's customers have seen 90% less manual work and 4× lower costs.

The team is tackling three hard technical challenges

browser agents for the invisible web (legacy government portals, unstructured data), a global risk graph reconciling entities across borders and shell structures, and scalable inference for millions of daily transactions.

About the Role

As a Member of Technical Staff, you'll own backend development and ML systems that power Sphinx's financial crime detection platform. High-agency role working with frontier technology at a startup with zero bullshit — they're chasing customers, not investors.

Technical Challenges

  • Browser Agents for the Invisible Web: Agents that navigate legacy systems, government portals, and third-party platforms using computer vision, DOM understanding, and robust error handling at scale
  • The Global Risk Graph: Risk agents operating across languages and regulations, reconciling entities hidden behind shell structures and mismatched disclosures
  • Scalable Inference: Systems processing millions of transactions daily with low latency

Requirements

Must-Have

  • Experience with backend development and/or ML, especially Python and AWS
  • Hands-on experience deploying software to production environments
  • Strong communication skills; willingness to interact with clients

Nice-to-Have

  • Experience with browser automation and computer vision
  • Background with distributed inference and optimization on AWS
  • Familiarity with LLM systems and deep research pipelines
  • Experience building systems that process millions of transactions at scale
  • Knowledge of compliance, AML, KYC, or financial crime domains
  • Competitive coding background; open-source contributions
  • Prior founder or early-stage engineer experience

Interview Process

  • Recruiter screen
  • Technical interview (no live coding)
  • Short paid in-person trial
  • Offer

Job Details

  • Salary: $120,000 – $300,000
  • Experience: 1+ years
  • Visa: H-1B, O-1, OPT sponsored
  • Location: San Francisco — in-person
  • Headcount: 3 open seats
  • Equity: Competitive

Benefits & Perks

  • Lunch, dinner, and snacks at the office
  • Comprehensive healthcare
  • Unlimited PTO
  • Annual offsite
  • Paid relocation and one month temporary housing
  • Latest tech and multiple monitors

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Skills

  • Machine Learning
  • Computer Vision
  • Python
  • AWS
  • LLM

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