Member of Technical Staff

Rulebase (YC F24); New York (NY); On-site; USD 120,000 - 150,000; Full time

Job summary

A leading technology company in New York is seeking an experienced individual to lead ML/AI strategy at the intersection of research and deployment in financial services. You will develop reinforcement learning agents and build systems to ensure compliance across customer interactions. The ideal candidate will have expertise in machine learning, strong coding skills in Ruby or Python, and experience deploying production-ready AI systems. Join us to make significant impacts in this fast-paced field.

Qualifications

• Deep expertise in ML and AI, especially in NLP and anomaly detection.
• Strong coding skills in Ruby or Python.
• Experience with data pipelines and cloud platforms.

Responsibilities

• Lead the development of RL and autonomous agents for financial services.
• Build systems to review customer interactions for compliance and fraud detection.
• Architect autonomous workflows with compliance requirements.

Skills

ML and AI expertise

NLP

Anomaly detection

Representation learning

Ruby or Python coding

Data pipelines

AWS or GCP

Orchestration frameworks

Compliance thinking

Job description

• We are building an autonomous factory for financial service agents, with real-time feedback loops from some of the largest financial services companies in the world, our customers.
• We work with structured and unstructured data at scale including calls, chats, emails, and AI agent responses to build autonomous systems that adapt, detect, and act on customer interactions in real time.
• Our edge is not secret datasets or brute-force compute. It is the speed at which we iterate, deploy, and learn directly from live environments.
• You will lead ML/AI strategy at the intersection of cutting-edge research and real-world deployment in regulated industries.

Why you should join us

• We are building an autonomous factory for financial service agents, with real-time feedback loops from some of the largest financial services companies in the world, our customers.
• We work with structured and unstructured data at scale including calls, chats, emails, and AI agent responses to build autonomous systems that adapt, detect, and act on customer interactions in real time.
• Our edge is not secret datasets or brute-force compute. It is the speed at which we iterate, deploy, and learn directly from live environments.
• You will lead ML/AI strategy at the intersection of cutting-edge research and real-world deployment in regulated industries.

What You’ll Do

• Lead the development of reinforcement learning (RL) agents and autonomous agents designed for financial services.
• Build systems that automatically review 100% of customer interactions across voice, chat, email, and AI agents to flag compliance risks, fraud attempts, and operational gaps in real time.
• Architect autonomous workflows with built-in compliance requirements.
• Develop safe-guarded AI decisioning that blends automation with judgment-based escalation paths, ensuring AI is auditable, explainable, and regulator-ready.

What We’re Looking For

• Deep expertise in ML and AI, especially NLP, anomaly detection and representation learning for unstructured text and audio.
• Strong coding background in Ruby or Python, with experience in data pipelines, AWS or GCP infrastructure, and orchestration frameworks.
• Experience deploying production-ready AI agents or automation systems. You care about what works in the real world, not just what looks good on paper.
• Background in financial services or compliance-sensitive systems is a plus, but not required. Curiosity and rigor matter more.
• Clear thinker and fast builder, excited to work at the edge of autonomous agents, compliance, and execution.

Our culture

• Hard work as a virtue – We genuinely believe in working hard. It is both a moral imperative and a requirement for building something that matters.
• Every customer is a king – Act accordingly.
• Velocity with precision - The shortest path from idea to execution, without compromising quality.