Unlock the Power of AI
About us, we're solving large enterprises' biggest data paradoxes and pioneering the world's first fully autonomous software operations. As an early-stage company driven by a meaningful mission, we seek exceptional engineering talent who values purpose, long-term impact, and significant ownership over traditional compensation.
Senior Machine Learning Engineer Role
You'll be instrumental in architecting our AI-driven autonomous systems, directly influencing our core ML infrastructure, model deployment strategies, and data engineering decisions. 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 our company's future.
What We Offer
- Freedom to Execute : Set your own goals, timelines, and approaches without bureaucratic hurdles.
- True Ownership : Founding engineers receive substantial equity packages (competitive with senior engineer salaries at scale), 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.
Requirements
Machine Learning Expertise : 5+ years building and deploying production ML systems at scale.Deep Learning Specialist : Hands-on experience with transformer architectures, LLLs, 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++).To Apply
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.