Droyd

Machine Learning Researcher

San Francisco, CA · Senior

Sponsorship not specifiedDetected 703 days ago

Machine LearningPyTorchRoboticsResearch

About the role

You'll train models, push them onto hardware, and iterate until they work in the real world.
You'll work in person with a small, senior team across robotics, controls, and data.
Your work will ship directly to deployed systems.

This role is based in San Francisco, CA. We're an in-person company. We build faster that way.
Architect and build training and inference stacks for models running on low-payload robotic systems
Design and train new model variants, run experiments, and document results
Develop fine-tuning and optimization methods tailored to robotics workloads
Work with the data team to manage datasets and keep pipelines clean
We build faster that way.
We design the hardware, write the control stack, collect our own data, and train models that run under real-world constraints.

Has experience with modern ML frameworks like PyTorch or JAX
Holds a Master's, PhD, or equivalent hands-on research experience in ML, AI, or CS

Understands vision-language models and how they behave in practice
Bonus: experience with edge-device inference or real-time constraints
As an AI Researcher at Droyd, you'll own meaningful parts of the learning and inference stack that power our robotic arms.

Droyd builds autonomous robotic systems that take on repetitive manual work in real environments.
Our robotic arms run on tight compute and power budgets, so learning systems have to be fast, reliable, and deeply integrated with hardware.
Our AI team designs and ships the models that let robots see, reason, and act.
This work runs on real machines, not benchmarks.
We're an in-person company.

This listing is sourced directly from Droyd's careers page and normalized into a canonical job model.