Care Dynamics Inc
Member of Technical Staff - Product Machine Learning
Care Dynamics Inc, San Francisco, California, United States, 94199
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.
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.