Head of Machine Learning

Bobyard is a company that automates construction through advanced machine learning solutions. They are seeking a technical leader to oversee the development of state-of-the-art deep learning systems, manage the ML team, and ensure high-quality model performance in production environments.

Responsibilities:

• Build SOTA deep learning systems: Architect models that read, reason, and predict across vision, language, and structured data. One error costs customers millions. 90% isn’t good enough
• Own end-to-end ML: Data pipelines, labeling, training, eval, and low-latency inference. If it doesn’t ship to prod at scale, it doesn’t matter
• Scale the infra: Train on massive datasets and serve millions of predictions. Push accuracy up and cost down. Make the hard systems calls
• Guarantee reliability: Uptime, latency, drift, degradation. When models fail, revenue stops. You own every prediction
• Push performance: Accuracy, robustness, generalization. Real-world data is ugly — scanned, incomplete, adversarial. Make it work anyway
• Ship with product + engineering: No research islands. You tie every model to user impact and revenue. Integrate into features customers use daily
• Hunt failure modes: Live in production data. Find where we break, why we break, and fix it this sprint
• Apply research pragmatically: Stay at the frontier of deep learning. Take what works from papers, ship it next week, measure impact
• Set technical strategy: Define the ML roadmap. Decide what we build in-house, what we leverage, what we kill. Force focus on the highest-leverage bets
• Lead and grow the team: Hire elite ML talent. Coach, unblock, and develop world-class engineers. Give direct feedback. Keep the bar brutal