VP of Engineering – AI
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Job Description
VP of Engineering overseeing AI infrastructure while shaping engineering culture and hiring strategy. Building a global consumer AI application with a small, elite team.
Responsibilities:
- Build and maintain core AI infrastructure
- Design model training, evaluation, and deployment pipelines
- Debug and resolve production AI failures
- Review and merge critical PRs
- Define standards for model lifecycle and experimentation
- Design org structure and hiring strategy
- Align AI roadmap with business goals
Requirements:
- 10+ years of engineering experience
- Deep ML expertise across training, tuning, and evaluation
- Proven track record shipping AI-heavy products
- Strong Python-heavy coding ability
- Experience leading engineers by example
- Nice to Have: Built ML systems from zero, Comfortable reading and implementing research, Strong intuition for model, data, and infrastructure tradeoffs
Benefits:
- Building a new global consumer AI application
- Operate in full stealth
- Hiring strategy and long-term technical direction
- Founding executive-level engineering role
- Be part of a small, elite team of ML and engineering builders.
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