Parametric builds autonomous physical businesses. We're starting with a laundromat, designed from the ground up for autonomy. Dirty laundry in, folded clean laundry out. Rather than retrofit human workflows with robots, we redesign processes with robots as first class citizens.
As a Senior ML Infrastructure Engineer, you will build the distributed nervous system of our research operations. You will design the underlying architecture that transforms raw robot logs into deployed policies, managing the complexity of asynchronous workflows at scale.
This is a deep systems engineering role. You will be responsible for orchestrating the interplay between massive data ingestion, large-scale distributed training, and parallelized simulation. You will build the tooling that ensures our experiments are reproducible, our compute is saturated, and our lineage is traceable.
Parametric PBC is a public benefit corporation building robots to benefit all humans. We’re a proud equal-opportunity employer and encourage applications from all individuals regardless of race, color, religion, sex, gender, national origin, disability, age, or veteran status.
We firmly believe the best version of the future includes everyone, so we encourage you to apply even if you don’t strictly meet all the requirements.
Parametric builds autonomous physical businesses.
We're starting with a laundromat, designed from the ground up for autonomy. Dirty laundry in, folded clean laundry out.
Rather than retrofit human workflows with robots, we redesign processes with robots as first class citizens.
Salary
$150,000 - $230,000
Equity
0.5% - 3%
Location
San Francisco, CA, US
Experience
3+ years
Total raised
$500K
Last stage
Seed
Investors
No applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.