
Senior Machine Learning Engineer: Architecting AI-Driven Autonomous Systems
5 days ago
As a pioneering tech company, we're on a mission to solve large enterprises' biggest data paradoxes and revolutionize software operations. We seek exceptional engineering talent who values purpose, long-term impact, and significant equity ownership over traditional salary compensation.
This is a unique opportunity to architect our AI-driven autonomous systems, directly influencing our core ML infrastructure, model deployment strategies, and data engineering decisions. You'll have the freedom to research, experiment, and deploy cutting-edge ML solutions while building substantial ownership in our 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 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.
Our Requirements:
We're looking for seasoned engineers who share our passion for innovation and are eager to take on challenging projects.
- ML Expertise: Proactive problem-solver with 5+ years of experience 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++).
Benefits:
- No Bureaucracy: Zero 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 that reflects your early-stage commitment and risk.
Kaggle Competition:
Participate in any active Kaggle competition and share your work to demonstrate your problem-solving skills.
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