案件名: Research Scientist (VLAs) (SR)
案件種類: Permanent
雇用形態: Full-time
業界: IT & Telecommunications / IT・通信
専門: Others / その他
給与: 交渉可
掲載済み案件: 2026-02-27
案件ID: 69938

職務内容

Career Opportunity for Research Scientist (VLAs) Role in Japan!

 

■ Research Scientist VLAs 

 

■ Company Overview

A research-driven organization at the intersection of AI and robotics, focused on advancing next-generation intelligent systems through cutting-edge research and real-world applications

 

■ Your Role and Responsibilities 

● Design and implement data preprocessing pipelines for multimodal robot datasets

● Train VLA models using supervised learning, RL, fine-tuning, RLHF, and training from scratch

● Develop and evaluate models in both simulation and on physical robots

● Improve training robustness and efficiency through algorithmic innovation

● Analyze model performance and propose enhancements based on empirical results

● Deploy VLA models onto real humanoid and mobile robotic platforms

● Publish research in top-tier conferences (e.g., NeurIPS, CoRL, CVPR)

 

■ Experience and Qualifications

● MS degree with 3+ years of industry experience, or PhD in Computer Science, Electrical Engineering, or a related field.

● Have at least one first-author publication in a top-tier conference such as CoRL, ICML, CVPR, NeurIPS, IROS, ICLR, ICCV, or ECCV.

● Experience with open-ended learning, reinforcement learning, and frontier methods for training LLMs/VLMs/VLAs such as RLHF and reward function design

● Experience working with simulators or real-world robots

● Knowledge of the latest advancements in large-scale machine learning research

● Experience with deep learning frameworks such as PyTorch

 

■ Additional Preferred Qualifications

● PhD or equivalent research experience in robot learning.

● Practical experience implementing advanced control strategies on hardware, including impedance control, adaptive control, force control, or MPC.

● Experience using tactile sensing for dexterous manipulation and contact-rich tasks.

 

■ Good Reasons to Join

● Be part of a research-first environment

 

■ Work Location

Tokyo, Japan
 

Details will be provided during the meeting.



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