Machine Learning Intern
Droyd · On-site
MeritLog read this listing from Droyd's Ashby job board and last checked it on September 8, 2026.
Source: the employer's Ashby job board. Open the original listing for current details.
Job details
- Work model
- On-site
- Salary
- Not listed by source
- Location
- San Francisco, CA
Hiring context
How this role compares at Droyd
Droyd has 25 live roles in MeritLog’s catalog across 7 job families, and 9 of them are in data & analytics. 20 of those listings publish a pay range, a disclosure rate of 80%.
Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.
What the role asks for
What you'd do
- Work across the ML stack, from training to inference
- Train and evaluate models that run on low-payload robotic systems
- Run experiments, analyze results, and document findings
- Learn how model design, data quality, and hardware constraints affect real-world performance
- Support deployment and testing of models on robotic hardware
What they're asking for
- Are current juniors or seniors (or equivalent) studying computer science, machine learning, AI, or a related fieldSkill
- Have coursework or hands-on experience training ML models using frameworks like PyTorch or JAXSkill
- Are willing to balance school and work in a fast-moving environmentSkill
- Are curious about robotics and interested in how learning systems behave in the real worldSkill
- Take ownership, ask good questions, and can carry projects forward with guidanceSkill
Parsed by MeritLog from the employer’s own posting. The full description follows below.
Job description
ABOUT THE TEAM Droyd builds autonomous robotic systems that automate repetitive manual work in real environments. Our robots operate under tight compute, latency, and reliability constraints, so learning systems must work cleanly on real hardware. Our AI team builds the models and inference systems that let robotic arms see, reason, and act. This work runs on deployed robots, not demos. ABOUT THE ROLE As a Machine Learning Intern at Droyd, you’ll work directly on the learning and inference systems that power our robotic arms. You’ll train models, run experiments, and help push research into production. You’ll work closely with AI researchers, software engineers, and hardware teams, and contribute to systems that ship to real robots. This role is based in San Francisco, CA. We’re an in-person company. We build faster that way. IN THIS ROLE, YOU’LL - Work across the ML stack, from training to inference - Train and evaluate models that run on low-payload robotic systems - Run experiments, analyze results, and document findings - Learn how model design, data quality, and hardware constraints affect real-world performance - Support deployment and testing of models on robotic hardware WE’RE LOOKING FOR CANDIDATES WHO - Are current juniors or seniors (or equivalent) studying computer science, machine learning, AI, or a related field - Have coursework or hands-on experience training ML models using frameworks like PyTorch or JAX - Are willing to balance school and work in a fast-moving environment - Are curious about robotics and interested in how learning systems behave in the real world - Take ownership, ask good questions, and can carry projects forward with guidance ABOUT DROYD Droyd builds autonomous robotic systems to automate manual work for enterprises. We design the hardware, collect our own data, and train models that operate under real-world constraints. If we do this right, robots become dependable tools people rely on every day. Join us and help build systems that ship.