Parametric (YC F25) · 1 month ago
Senior ML Infrastructure Engineer
San Francisco, CA, US
Full-time
Onsite
Mid, Senior Level
$150K/yr - $210K/yr
3+ years expParametric is building robots to reliably automate physical labor in the real world. As a Senior ML Infrastructure Engineer, you'll build the systems that power our entire autonomy stack and design the infrastructure that enables the ML team to move fast.
Real TimeRobotic Process Automation (RPA)RoboticsTraining
No H1B
Responsibilities
Design and implement robust ML infrastructure for dataset management, model training and evaluation, and deployment
Collaborate with ML engineers to gather requirements and develop plans
Build and operate cloud infrastructure (e.g. AWS, GCP) for machine learning workloads for experiments and production
Automate model evaluation, selection, and deployment
Qualification
Required
Three or more years (or equivalent) working in devops, ML infrastructure, or platform engineering roles
Experience designing and implementing production-grade AI infrastructure
Deep understanding of the ML lifecycle: data pipelines, distributed training, model evaluation, and deployment
Strong proficiency with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tools
Experience building CI/CD pipelines with tools like GitHub Actions, Jenkins, or similar
Comfortable with Python, bash, and infrastructure scripting
Company
Parametric (YC F25)
Modern robots perform complex tasks but operate as black boxes. Operators can't understand their decision-making or predict when they may fail.
2-10 employees
Funding
Current Stage
Early StageTotal Funding
$0.5MKey Investors
Y Combinator
2025-12-03Pre Seed· $0.5M
Leadership Team
Cody Swain
Co-Founder & CEO
J
John Newsom
Co-Founder and CTO
Company data provided by crunchbase