Machine Learning and AI Engineer - New York

Reflexivity•New York, NY

2d•$180,000 - $350,000•Onsite

About The Position

You have built real AI systems that ship, break, and get fixed under pressure. You care less about model demos and more about decisions that move capital. You want your work used daily by professional investors, not buried in notebooks. You are comfortable owning hard problems end to end. If you want a calm job optimizing benchmarks, this is not it. The Role, In Plain English You will build and evolve the AI systems that power Reflexivity’s investment insights. This role exists because off-the-shelf models and generic pipelines are not enough. You will work at the intersection of reasoning engines, proprietary data, and real market impact. Your work directly affects how investors understand earnings, risk, and market catalysts.

Requirements

5 plus years building ML or applied AI systems in production
Startup experience working on a core product, not a side project
Strong Python skills and experience integrating with backend systems
Hands-on experience with AI-assisted coding tools like Cursor or Claude Code
Fintech experience or strong personal investment background
Comfortable owning outcomes, not just tasks

Nice To Haves

Experience with LLM reasoning systems or knowledge graphs
Exposure to Golang-based ML integrations
Prior experience supporting investor-facing products

Responsibilities

Design, fine-tune, and deploy ML and LLM-driven systems used in production by professional investors
Build and maintain inference pipelines that are fast, observable, and reliable
Integrate OpenAI, Gemini, and Anthropic models into reasoning and knowledge systems
Work closely with backend engineers to productionize models in Golang-based services
Improve signal quality, not just model accuracy
Review code and designs with a bias toward long-term maintainability