[NAVER LABS Co., Ltd.] Recruiting Robotics ML Research Engineer

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✨Job Responsibilities - Design and build data and ML pipelines for large-scale multimodal robot data - Research and develop next-generation robotics AI models such as Robotics Foundation Model, VLA/VLM, World Model, and Robot Policy - Optimize data and training strategies such as Data Mixture, Data Sampling, Curriculum Learning, and Training Recipe - Build large-scale training systems based on Cloud / Kubernetes / Distributed System - Evaluate models in real robot and simulation environments and connect results to data and model improvements - Develop Benchmark, Evaluation Pipeline, and Research Tool ✅Qualifications - No experience required (fresh graduates and experienced applicants may apply; candidates who can join within the year are eligible) - A master’s or PhD degree in Computer Science, Machine Learning, Robotics, or a related field, or equivalent practical experience - Ability to understand and solve problems in robotics AI and large-scale ML systems from an end-to-end perspective - Understanding of the full Machine Learning workflow: data–training–evaluation–deployment - Experience developing production-level software based on Python - Experience in at least one of the following areas - Robotics Foundation Model / VLA / VLM / World Model - Robot Policy Learning / Imitation Learning / Reinforcement Learning - Data Engineering / Distributed Training / ML System / MLOps - Multimodal Robot Data / Simulation / Robot Evaluation - Cloud / Kubernetes-based ML Infrastructure 💖Preferred Qualifications - Experience training Robotics Foundation Model - Experience with pre-training or post-training using real robot data - Experience in data-centric ML and large-scale multimodal / robot data processing - Experience building and operating Distributed Training and ML Platforms - Experience with end-to-end evaluation based on real robots or simulation - International academic activity in related fields (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, CoRL, ICRA, IROS, RSS, SIGGRAPH, etc.) - Preference for national merit recipients and persons with disabilities, etc., who are protected employment candidates 🏠Work Location - 18th Floor, 95 Jeongjail-ro, Bundang-gu, Seongnam-si, Gyeonggi-do (Jeongja-dong, 1784 Building) - Seongnam-si, Gyeonggi-do (1784 Building) ⚡️Hiring Process - Document screening - Preliminary assessment (including coding test, phone interview, Culture Fit assessment) - First interview - Second interview - Compensation discussion / pre-employment medical checkup - Joining 👉Application Period / Method - Application period: 2026.10.30 ~ 2026.11.08 (23:59) - How to apply: Apply through the website 📋Other - The hiring process may change depending on schedule and circumstances - If any false information is found in the application, the offer may be revoked - If a non-compete lawsuit is filed during the probationary period, the offer may be revoked - Interview schedules will be provided individually only to those who pass document screening - This recruitment posting will close once talent selection is completed - Inquiries should be submitted through the application inquiry section on the LABS recruiting website - Submitted applications can be checked after logging in at My page - application status, and can be edited or withdrawn until the posting closes and before document evaluation - As many applicants may apply near the closing time, final submission is recommended to be completed before the deadline if possible - If the application is submitted successfully, a submission-complete message will appear on the final screen