Member of Technical Staff – Product Machine Learning

Full-time | On-site | San Francisco, CA

About the Role

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

You’ll 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 You’ll 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 Recruiter@CareDynamicsFL.com to learn more.