Aimed at early-career researchers in robotics or AI who prioritize hands-on experimentation and cross-functional collaboration.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Clera via Ashby
ABOUT THE ROLE
Join an early-stage research team working at the intersection of robotics and AI. You will spend most of your time training robot-learning policies, building benchmarks, and publishing results, while helping translate research findings into practical improvements in robot performance.
WHAT YOU'LL DO
- Train and fine-tune policies using robotics datasets, then measure and report their performance improvements.
- Design benchmarks that assess policy performance on real-world robotic tasks.
- Select and run appropriate training methods for research questions from start to finish.
- Help set priorities for tasks, robot embodiments, and data quality standards.
- Publish research, contribute to open-source work, and explain findings to technical and non-technical audiences.
- Coordinate with clients, robotics partners, and data teams to connect research with real-world needs.
WHAT WE'RE LOOKING FOR
- A completed or nearly completed PhD in robotics or machine learning, or equivalent research experience demonstrated through publications or work at a robotics or AI research lab.
- Hands-on experience training and evaluating robot policies in simulation or on physical hardware.
- Research experience in physical AI or robot learning, such as imitation learning, reinforcement learning, vision-language-action models, or dexterous manipulation.
- Strong experimental habits, including running experiments early, documenting findings promptly, and reporting negative results.
- Clear communication skills for sharing technical results with researchers, operations teams, and clients.
- Daily familiarity with AI tools and coding agents.
- Early-career research experience, from near completion of a PhD to a few years of postdoctoral or equivalent experience.
- Publications at leading robotics or machine learning venues, real robot hardware experience, or familiarity with large-scale robotics datasets and data pipelines are valuable.
- Professional English and willingness to work on-site in Barcelona or relocate.
COMPENSATION & BENEFITS
Competitive salary, equity, and relocation support are available. Salary range and visa sponsorship policy were not specified.
LOCATION
On-site in Barcelona, Catalonia, Spain.
Source: Clera careers (Ashby)