AI/ML Software Engineer

About the Opportunity

In this role, you will tackle the complex "last mile" challenges of artificial intelligence—transforming raw model outputs into reliable, reproducible, and explainable systems fit for high-stakes analytical environments. Your initial focus will cover model optimization, infrastructure scaling, and defining the end-to-end machine learning lifecycle (including automated data labeling, evaluation frameworks, and deployment pipelines). As the engineering organization expands, you will have the autonomy to carve out your area of deepest ownership.

Key Responsibilities

• Model Lifecycle & Infrastructure: Design, build, and scale automated ML pipelines, model fine-tuning workflows, vector search architectures, and LLM orchestration layers for production environments.
• Evaluation & Rigor: Establish sophisticated, automated evaluation frameworks, treating model metrics with the same exactitude and testing standards applied to traditional software code.
• Interpretability & Debugging: Investigate, debug, and mitigate black-box behaviors, addressing model bias and ensuring interpretability in high-throughput production systems.
• Core Systems Evolution: Advance proprietary research intelligence engines, collaborating closely with cross-functional leaders to shape product roadmaps and architecture.
• Ambiguity & Ownership: Navigate open-ended problem spaces with strong judgment, making high-impact technical decisions independently within a high-trust, lean team.

Candidate Requirements

• 5+ years of professional software engineering experience demonstrating progressively expanding technical scope and individual ownership.
• Specialized expertise in AI/ML engineering, with production-level background in LLM orchestration, model fine-tuning, vector databases, and evaluation metrics.
• Demonstrated mastery in constructing automated validation and test pipelines for machine learning workloads.
• A strong foundation in modern AI frameworks and high-throughput data processing libraries (prior fintech or quant experience is welcome, but curiosity and engineering rigor are what truly matter).
• Exceptional communication skills, excellent judgment, and comfort operating in fast-moving, ambiguous startup environments.

What You Will Experience

• Direct, unfiltered exposure to core business strategy, product evolution, and customer engagement.
• A collaborative culture comprised of peers who hold exceptionally high standards for craft and engineering quality.
• The rare opportunity to build a foundational platform and equity stake in an early-stage venture.

Must be located in NYC and authorized to work in the US. On-site (5 days weekly, with occasional Friday WFH flexibility). Compensation: $150,000 – $200,000 base salary + meaningful early-stage equity and ownership.