
Chief Architect of Artificial Intelligence Solutions
2 weeks ago
Our Mission & The Role
We're pioneering the world's first fully autonomous software operations.
As a Sr. Machine Learning Engineer, you'll be instrumental in architecting AI-driven systems and influencing our core ML infrastructure and model deployment strategies.
You won't just be implementing models—you'll have the freedom to research, experiment and deploy cutting-edge ML solutions while building substantial ownership in the company's future.
What Makes This Opportunity Different:
- Freedom to Execute: Set your own goals, timelines, and approaches without bureaucratic hurdles.
- True Ownership: Founding engineers receive significant equity packages ensuring direct benefit from created value.
- Technical Challenge: Solve complex real-world problems with meaningful impact.
- Impact-Driven Culture: Directly influence product direction, company culture, and growth strategy.
- Transparent Leadership: Collaborative environment, weekly strategy sessions, and full visibility into company health and roadmap.
- Exponential Upside Potential: Equity stake grows with company success—potential for life-changing returns as we scale.
We Seek Exceptional Engineering Talent Who Values Purpose, Long-Term Impact, and Significant Equity Ownership Over Traditional Salary Compensation.
Our Promise to You
- Zero Bureaucracy: No VP approvals or innovation theater—just you, meaningful problems, and the freedom to solve them.
- Transparent Leadership: Open, collaborative culture with weekly strategy sessions.
- Impact-Driven Culture: Your voice directly shapes our product and strategy.
- Significant Equity Package: Founding-level equity stake reflecting early-stage commitment and risk.
Key Skills
ML Expertise
- Passionate Builder: Proactive problem-solver who identifies, iterates, and ships solutions.
- ML Veteran: 5+ years building and deploying production ML systems at scale
- Deep Learning Specialist: Hands-on experience with transformer architectures, LLMs, and generative AI
- MLOps Mastery: Expert in ML pipeline orchestration, model monitoring, and A/B testing frameworks
- Programming Excellence: Proficiency in Python, with experience in PyTorch/TensorFlow, and familiarity with systems languages (Go, Rust, C++)
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