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About the Role
We're hiring a Head of ML Engineering to own how our research team's models get tested, labeled, shipped, and run in production. You'll build everything around the models: the systems research uses to A/B test models on live jobsites, the tools our labelers use every night, the data tooling research trains from, and the orchestrator and inference stack that deliver reports by 5 AM. You'll start as a hands-on tech lead and grow the team from there.
Responsibilities
- Own experimentation for research, including building systems to A/B test models in production.
- Own the Tagging Interfaces tool for the labeling team, including pre-labeling footage and tracking throughput.
- Own data tooling for research, including dataset versioning, search, and training set assembly.
- Ship ML-backed features in the superintendent report and troubleshoot issues.
- Own MLOps, orchestration, and inference, including model deployment, versioning, and rollback.
- Manage GPU and cloud spend, and adapt to hardware changes.
Requirements
- 7+ years of software engineering experience.
- At least 3 years building production ML systems.
- Experience leading a small team as a tech lead or manager while still shipping code.
- Experience building experimentation or A/B testing systems in production.
- Experience building internal tools for non-engineers.
- Hands-on experience with MLOps and GPU inference.
- Ability to debug across the full stack.
- Clear, concise communication skills.
Skills
- MLOps
- GPU inference
- A/B testing
- Internal tool development
- Debugging
- Communication
Location
- San Francisco Bay Area
Work Type
- On-site
Experience Level
- 7+ years of software engineering
- 3+ years building production ML systems
Salary/Compensations
- $200k-$330k per year
Benefits
- Meaningful founding-team equity
- Full benefits including health, dental, vision
- 401(k) with 6% match
- Daily catered lunch
About the Company
- Ironsite is building the intelligence layer for the physical world, designing wearable hardware and transforming shift footage into next-morning reports with AI models.
- We accelerate construction speed, efficiency, and predictability for complex projects.
- Our philosophy is pro-worker, believing technology should empower, not replace, the workforce.
- Ironsite is deployed on major construction projects, capturing extensive footage while prioritizing worker privacy.
- We are backed by leading investors and prominent figures in technology and construction.
- We envision a future where craft workers are more valued and the construction industry has an intelligence layer for autonomous construction.