ML Engineering Lead

Role Overview

We're a San Francisco, Montreal and Toronto based applied AI startup that's building the future of work in the banking industry. We are tackling a $100 billion/yr problem, doubling every quarter and pushing the boundaries of what’s possible with multi-turn AI agentic systems. Our goal is to tackle the type of automation problems that require long-context reasoning, tool orchestration across legacy systems, and strict compliance loops: the ones without known answers.

What You Will Do

Own and lead the ML/AI function end-to-end, setting technical direction and standards across the company. Architect and guide the development of multi-modal, agentic AI systems powering real-world workflows. Drive productionization of ML systems, ensuring reliability, scalability, and compliance in real-world environments.

Why It Might Be a Fit

You’ve led ML systems from v1 to scale, and enjoy defining both the technical direction and the systems that power them. You have 8+ years of experience in ML/AI engineering, including time as a technical lead or manager.

Requirements

• 8+ years of experience in ML/AI engineering, including time as a technical lead or manager
• Proven track record of leading ML initiatives end-to-end, from problem definition → production deployment
• Deep experience with LLMs and/or agentic systems, ideally in real-world, customer-facing applications
• Strong understanding of ML fundamentals (deep learning, transformers, model evaluation, tradeoffs)
• Experience scaling ML systems in production, including monitoring, iteration, and reliability
• Demonstrated ability to lead engineers, influence architecture decisions, and drive technical direction

Benefits

• Competitive compensation
• Premium benefits
• Equity package