Parametric (YC F25) · 18 hours ago
Machine Learning Research Engineer
San Francisco, CA, US
Full-time
Onsite
Mid Level
$140K/yr - $200K/yr
3+ years expParametric is building robots to reliably automate physical labor in the real world. As a Machine Learning Research Engineer, you'll define how we solve robotics problems, create novel algorithms, and collaborate with systems and hardware teams to enable robots to handle complex tasks.
Real TimeRobotic Process Automation (RPA)RoboticsTraining
No H1B
Responsibilities
Design, train, and deploy machine learning models to solve large-scale perception and control problems
Own the entire modeling lifecycle from data annotation to training, evaluation, and production deployment
Write high-quality, scalable, production-ready code
Collaborate closely with hardware and embedded teams
Qualification
Required
3+ years of experience working on machine learning for language modeling, perception, planning, or controls
Strong foundation with classical robotics (e.g. perception, planning, controls)
Experience with Python and a modern deep learning framework
Ability to thrive in 0→1 environments where speed and ownership matter more than process
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