Head of Machine Learning

United States·San Francisco,San Franciscofull-timeexecutive

Machine LearningData & AI

2 views0 saves0 applied

Apply Now

Quick Summary

Overview

Position Overview Bobyard solves hard ML problems to automate construction. Contractors waste dozens of hours per project on manual takeoffs. We replace that with model systems that have to be better than human — on messy, high-stakes data.

Key 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.

Technical Tools

deep-learningetlmachine-learning

Responsibilities

~1 min read

Founder-level ownership: You treat model quality like it’s your own P&L. You see problems before anyone else and you’ve already fixed them.
Deep learning authority: You’ve trained and shipped large-scale DL systems — CV, NLP, multimodal, or beyond. Transformers, diffusion, whatever it takes.
Production-obsessed: You’ve put ML into products with real SLAs. You understand the gap between demo and 99.9% reliable.
Messy data killer: Real-world data is garbage. You’ve turned chaos into training sets that produce models customers bet their business on.
Research-minded, execution-obsessed: You read arXiv, but you ship. You optimize for impact, not papers.
Proven technical leader: You’ve led a world-class ML team. Top engineers want to work for you because you make them better and you ship.
Startup work ethic: This isn’t a cushy big-tech director role. We’re at war with manual workflows in a $13T industry. You want that.
Learning machine: New architecture drops, you’re fine-tuning it same day. You make unknown spaces tractable for the team.

This is full-time & in-person in SF. Learning rate and dedication beat pedigree. If you can prove you’ll lead us to ship models customers trust with million-dollar decisions — at the speed and quality the market demands — we want you.