Member of Technical Staff Product Machine Learning

Member of Technical Staff Product Machine Learning

Full-time On-site San Francisco CA

About the Role

Were looking for a Member of Technical Staff focused on Machine Learning Product Development with 5 years of experience building and owning commercial ML systems.

Youll help design train and deploy production-grade models that power a generative-AI platform used by leading finance and accounting organizations.

This is a highly visible hands-on role at the intersection of machine learning engineering data infrastructure and product design ideal for someone who thrives on measurable impact and rapid iteration.

What Youll Do

• Build Core ML Systems: Design and implement scalable ML and product infrastructure for real-world data-processing applications.

• Iterate on Datasets & Inference: Develop training and inference systems improve dataset strategy and optimize models to scale to millions of documents.

• Integrate with Product: Embed ML inference pipelines directly into end-to-end products used daily by professionals.

• Collaborate with Experts: Partner with accountants and domain specialists to encode industry knowledge into practical high-accuracy systems.

• Own Quality & Performance: Measure key product and model metrics drive continuous improvement and ensure reliability at scale.

Who You Are

• 5 years of experience in ML engineering or applied AI product development.

• Deep understanding of data modeling inference systems and model evaluation.

• Hands-on proficiency with Python and modern ML frameworks.

• Demonstrated success deploying production ML systems at scale.

• Comfortable working in a fast-moving environment balancing research and shipping.

• Excellent communicator with strong product intuition and end-user empathy.

Work Environment

• Location: Union Square San Francisco

• Schedule: On-site 5 days per week

• Culture: Tight-knit mission-driven team combining startup velocity with enterprise-grade rigor

Compensation & Benefits

• Salary: $200K $325K

• Equity: Stock options included

• Visa Sponsorship: Available

• Benefits: Comprehensive health coverage paid time off and the opportunity to work on cutting-edge AI systems at scale

Ready to take the next step

Apply now or email Jenn at to learn more.