Research Scientist

About the Role We're looking for a Research Scientist to architect and deploy the machine learning models behind our laundry-folding robot. You'll own the full autonomy stack: from training manipulation models (imitation learning, RL, VLA) to deploying them on real robots in the home. You'll also extend cutting‑edge research, refine our data pipelines, and collaborate closely with engineering to bring reliable, in‑home robotics to life. What You'll Do Train, deploy, and maintain laundry folding models on physical systems Build autonomy for manipulation tasks using imitation learning, RL, VLA, and world models Develop our teleoperation/data collection stack and simulation pipelines Reproduce and extend cutting‑edge robotics research Test, debug, and iterate on real robots in our lab Collaborate closely with our engineering team Work flexible shifts including nights/weekends as needed What We're Looking For Current PhD students, postdoc, or recent PhD grad in robotics, ML, or a related field Publications at top conferences/journals (NeurIPS, ICRA, RSS, CoRL, T-RO, Science, Nature, etc.) Deep knowledge of robot learning: imitation learning, RL, and classical control Experience deploying models on physical systems, especially for manipulation tasks like folding Can lead work with minimal guidance in a fast‑moving, ambiguous environment Values good design and consumer sensibility in robotics Communicates clearly and concisely From a top 20 global university Nice To Have Obsessed with thoughtful design; can point to a product that "sparks joy" and say why Loves good food and has a strong opinion on the best burrito within 2 miles (we do team meals) Someone with a chip on their shoulder who gets a thrill from proving doubters wrong Low‑ego collaborator who gives and receives kind, actionable feedback Brings a hobby to share (photography, music, sports, etc.) Healthy meme game; can explain a research paper and a meme in the same breath Details Full time and internship (6‑month minimum contract) options available In person, M–F, 9–6. Health benefits included, company holidays, team meals, sick leave, etc. Preference given to candidates who can start immediately #J-18808-Ljbffr Syncere