Member of Technical Staff - Research

Job Description

Job Description

Stuut is transforming accounts receivable for B2B companies—making collections smarter and faster for companies that have historically relied on manual processes that are labor intensive and costly. Our platform is gaining traction with finance teams across industrials, chemicals, and manufacturing sectors from Fortune 10 brands to scaling midmarkets. We're backed by top-tier investors including a16z, Khosla, Activant, 1984 Ventures and Page One.

The Role

We’re hiring a Member of Technical Staff - Research to design, build, and deploy AI models that redefine how financial operations run—starting with accounts receivable. You’ll work closely with Product, Engineering, and our leadership team to create industry-specific solutions, fine-tune smaller models for real-world workflows, and ensure every deployment is production-ready and driving measurable value.

This is a high-impact role for someone who can think creatively, execute technically, and deliver models that translate directly into business impact. You’ll combine applied AI expertise, strong engineering discipline, and cross-functional collaboration to shape the future of Stuut’s AI capabilities.

What You’ll Do

Innovate & Deploy : Design, implement, and ship machine learning models tailored to financial workflows—moving from concept to production.

Bridge Collaboration : Partner with product managers, engineers, and domain experts to deeply understand workflows and translate them into scalable AI solutions.

Optimize & Scale : Build robust data pipelines, fine-tune model performance, and ensure solutions meet production-grade reliability and efficiency standards.

Maintain Excellence : Monitor, debug, and improve deployed models to ensure ongoing accuracy, relevance, and business value.

Lead & Share : Contribute technical leadership through code reviews, mentorship, and best practice sharing.

You Might Be a Fit If You…

Hold a Master’s or Ph.D. in Machine Learning, Computer Science, or a related field—or have equivalent hands-on experience.

Are fluent in Python and experienced with ML frameworks like TensorFlow or PyTorch.

Have deployed deep learning, transformer, or retrieval-augmented generation (RAG) models in production.

Understand MLOps, scalable infrastructure, model serving, and monitoring.

Care about responsible AI—bias mitigation, privacy, and safety.

Are a strong collaborator with clear communication skills and technical humility.

Thrive in a fast-moving, high-growth startup environment.

Compensation

Top-of-market salary and equity package

Benefits (for U.S.-based full-time employees)

Medical, dental & vision insurance coverage for you

401(k) & Match

Equity

Flexible PTO

Parental Leave