About the job Machine Learning (ML) Engineer Location: New York, NY (On-Site) Employment Type: Full-Time Compensation: $150 - $300k About the Company Our client is an AI startup building intelligent agents for complex real-world applications. Backed by leading investors and with strong product-market fit, they're creating the core systems that shape how autonomous technologies interact with the world. The small, highly skilled team combines expertise in engineering, machine learning, and operations, offering a rare chance to join early and help define the architecture, tools, and culture of a high-impact company. About the Role As a Leading ML Engineer on the World Modeling team, you'll help design the environments, logic, and data representations that guide how agents reason and act. You'll create the systems that enable agents to navigate domains like accounting, operations, and finance with precision and context-awareness. What You'll Do
- Model real-world systems (starting with accounting) in a way that intelligent agents can understand
- Architect software abstractions and infrastructure to support agent reasoning
- Work closely with product and research to build domain-specific logic
- Design for clarity, modularity, and extensibility in code and concepts
- Help define the building blocks of production-ready AI
What Were Looking For
- 4 - 8 years of experience building ML, systems, or backend infrastructure
- Proficient in Python, with a deep understanding of systems and data modeling
- Strong ML fundamentals and ability to think in abstractions
- Educational background in Computer Science, Physics, Math, or similar
- Experience owning large components or projects end-to-end at a startup
- Comfortable working in a high-intensity, in-person environment
- Willing to relocate to NYC if not currently local
Bonus Points
- Experience modeling economic, financial, or operational systems
- Familiarity with simulations, multi-agent systems, or agentic AI
- Exposure to accounting or enterprise logic modeling
- Passion for building foundational tools for next-gen AI systems
Benefits
- Highly competitive equity package
- 100% employer-paid medical, dental, and vision coverage
- Daily team lunches provided in-office
- Opportunity to shape product, culture, and infrastructure from the ground up