
Autonomous Machine Learning Architect
2 days ago
We seek exceptional engineering talent who values purpose, long-term impact, and significant equity ownership over traditional salary compensation. As an early-stage company driven by a meaningful mission, we believe in empowering engineers to turn cutting-edge research and ideas into reality.
Key Responsibilities:
- Architect AI-driven autonomous systems
- Influence core ML infrastructure, model deployment strategies, and data engineering decisions
Requirements:
- 5+ years building and deploying production ML systems at scale
- Hands-on experience with transformer architectures, LLMs, and generative AI
- Expertise in ML pipeline orchestration, model monitoring, and A/B testing frameworks
- Proficiency in Python, with experience in PyTorch/TensorFlow, and familiarity with systems languages (Go, Rust, C++)
Benefits:
- Freedom to Execute: Set your own goals, timelines, and approaches without bureaucratic hurdles
- True Ownership: Founding engineers receive substantial equity packages, ensuring you directly benefit from the value you create
- 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: Your equity stake grows with company success—potential for life-changing returns as we scale
Accelerated Application Process:
- Kaggle Competition: Participate in any active Kaggle competition and share your results
- Research Contribution: Share a recent ML project, paper, or open-source contribution you're proud of
'No great engineer ever joined a startup just for salary—join us for the mission, the freedom, the opportunity to turn your boldest ideas into reality, and the chance to own a meaningful piece of the future we're building together.'
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