Member of Technical Staff

Sphinx

$130K — $180K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years experience in software engineering, preferably with a focus on machine learning and AI.
  • Proficiency in building end-to-end systems, optimizing ML pipelines, and backend development.
  • Strong understanding of browser automation, computer vision, and data processing at scale.
  • Ability to handle complex data interpretations and build robust error handling mechanisms.
  • Experience in producing reliable software under high-stakes financial conditions.

Responsibilities

  • Architect behaviors of AI agents for automating compliance tasks.
  • Develop backend systems that support machine learning operations and agent interactions.
  • Optimize machine learning pipelines to enhance decision-making speed and accuracy.
  • Implement error handling and reliability mechanisms in product features.
  • Communicate technical strategies and trade-offs effectively with minimal oversight.

Benefits

  • Lunch, dinner, and snacks provided in the office.
  • Comprehensive healthcare coverage offered.
  • Unlimited paid time off (PTO) policy.
  • Annual offsite retreats for team bonding.
  • Paid relocation assistance and one month of temporary housing.
  • Access to cutting-edge technology and multiple monitor setups.
Full Job Description
tl;dr: We're automating compliance for banks and fintechs with AI agents that work like human analysts - on a browser. Demand is exploding, and we're expanding our engineering team to move faster & meet our 6-month roadmap. If you love building end-to-end systems, shipping fast and tackling hard problems, we should talk.

PS: want to skip the queue? Save Morty from Rick in our AI-proof coding challenge. If things go well, we'll reach out to organize an interview directly with our CTO. And if you win, we pay you $10k, no questions ask.

Technical Challenges
1. Browser Agents for the Invisible Web

Most financial crime data isn't accessible via APIs - it lives in legacy systems, government portals, and third-party platforms. We're building agents that navigate these systems like humans do: clicking, scrolling, interpreting unstructured data, and adapting to interface changes. This requires computer vision, DOM understanding, and robust error handling at scale.

2. The Global Risk Graph

Risk doesn't stop at borders, and neither can we. Our agents operate across languages and regulations, reconciling entities hidden behind shell structures and mismatched disclosures. Each check enriches a single, evolving graph of people, companies, and signals - a global risk intelligence network that never forgets.

3. Decisions at the Speed of Money

Payments don't wait for compliance. We process risk signals at the same speed money moves - millions of transactions, thousands of entities, sub-second decisions. Doing this right on AWS means distributed inference, caching, queue orchestration, and self-healing data pipelines.

4. Deep Research without Hallucinations

Out-of-the-box deep research agents easily confuse entities that look similar. ChatGPT isn't going to be able to tell us whether John Smith is a terrorist. We're building our own deep research pipeline to ensure LLMs don't mix up facts from different people/companies.

What We Look For
  • You solve problems end-to-end: Our team owns features vertically. You'll architect agent behaviors, build backend systems, optimize ML pipelines, and ship product features - often in the same week.
  • You have a high bar for quality: In financial crime, "mostly working" isn't good enough. You obsess over edge cases, build robust error handling, and ship systems that institutions trust with billions in transactions.
  • You want to push AI agent capabilities: We're at the frontier of what's possible with AI agents in production. You'll experiment with the latest models, design novel agentic workflows, and solve problems that don't have Stack Overflow answers.
  • You communicate with clarity: We move fast with minimal process. You need to articulate tradeoffs, communicate blockers, and make technical decisions with limited information.
  • You're energized by impact: Our customers protect the financial system from criminals. Your code directly prevents money laundering and terrorism financing. That matters.
  • You hate meetings: You would much rather focus your time on building, being productive, and shipping code


About the Interview
  • Intro call (fit & motivation)
  • Technical screening / take-home
  • Deep-dive technical interview (no live coding)
  • Short paid in-person trial
  • Offer


Benefits
  • Lunch, dinner and snacks at the office
  • Comprehensive healthcare
  • Unlimited PTO
  • Annual offsite (last one in Mexico)!
  • Paid relocation & one-month temporary housing
  • Latest tech and as many monitors as you can fit on a desk

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