What are the responsibilities and job description for the Machine Learning Researcher position at Alexander Chapman?
Research Scientist (Junior & Senior) — Series E AI Company
We’re partnering with a Series E AI company redefining two of the most fundamental parts of everyday life—housing and healthcare—by deploying cutting-edge machine learning and large language models directly into real-world workflows.
Backed by top-tier investors and fresh off a $250M Series E, this company is building agentic AI systems that don’t live in demos—they ship, scale, and create measurable impact.
About the Company
- $2.2B valuation with $422M raised from leading investors
- AI agents embedded into real operational systems, improving access, speed, and efficiency
- Rapidly expanding research and product teams following their latest raise
The Opportunity
They’re hiring Research Scientists at junior and senior levels to push the boundaries of applied ML and LLMs.
Senior Research Scientist
- Define and own research direction aligned with product impact
- Mentor researchers and collaborate closely with engineering
- Take ideas from whiteboard → production → scale
Junior Research Scientist
- Design, prototype, and evaluate novel ML/LLM architectures
- Work cross-functionally with research, product, and engineering
- Contribute directly to production-facing ML systems
Why This Role Stands Out
- Mission-driven work with tangible, real-world impact
- Hard, meaningful ML problems at massive scale
- Competitive compensation, meaningful equity, and NYC relocation support
- High-ownership, in-office culture focused on learning, speed, and excellence
What They’re Looking For
- Strong foundations in ML, mathematics, and Python
- Experience building or researching ML systems that ship
- A startup mindset: curiosity, independence, and bias to action
- PhD or Master’s from a top academic program preferred
- Ability to take ideas 0 → 1 and deliver production-quality code
This is one of the most technically ambitious and mission-driven AI companies in the U.S., operating at the intersection of agentic AI, LLMs, and real-world systems.