Machine Learning Engineer

Our mission and why it matters

We are on a mission to make humans the strongest security layer.

Human risk remains one of the biggest vulnerabilities and traditional awareness training is not enough. We take a different approach by combining AI-driven personalization, real threat detection, and behavioral science to actively protect people and organizations.

We don't just simulate risks. We build the tools that detect and stop them.

Why this role matters

Our internal AI development team is a small, fast-moving task force and the go-to experts for ML across Hoxhunt's products. We build and maintain a shared LLM SDK that lets product teams ship AI-powered features without worrying about telemetry, cost tracking, or model management, and we own the most complex AI features ourselves, including the multimodal pipelines, multi-step agentic systems, and specialist ML models that go beyond what any single product team can handle alone.

We're growing because demand is outpacing our capacity. AI is now business-critical to everything we ship, and we need another strong engineer to help us keep up.

As a Machine Learning Engineer on the AI development team, you'll embed with product teams to tackle hard problems, ship solutions, and move on to the next challenge. One month you might be minimising unit costs on a pipeline serving millions of users; the next, you're building a threat detection model with its own training loop and data collection pipeline. The problems are technically demanding and the impact is real.

What you'll own and driveDesign, develop, and maintain AI features and ML models serving millions of end users

Build and maintain scalable APIs that integrate models directly into our products

Ensure the reliability, scalability, and observability of our AI systems

Collaborate cross-functionally with product teams and PMs to scope and execute complex projects

Take end-to-end ownership of initiatives from the initial idea all the way to execution

What success l