Job Description
Career Opportunity for a MLOps Engineer in Japan!
■ MLOps Engineer
■ 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, implement, and maintain large-scale ML pipelines and optimize model performance for training on massive robot datasets
● Design, deploy, and maintain distributed training clusters to reduce model development cycles
● Collaborate closely with VLA researchers to capture evolving ML infrastructure, data pre-processing, training, monitoring, evaluation, and deployment requirements and continuously improve ML pipeline through analysis and experimentation.
● Optimize ML infrastructure and pipeline for cost, performance, and reliability
● Design, develop, and maintain MLOps tools and platforms to ensure VLA researchers can efficiently visualize and analyze the performance
■ Experience and Qualifications
● Master’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
● 5+ years of professional experience as a software engineer in MLOps engineering, machine learning, or robotics.
● Experience in deploying distributed systems to popular cloud services such as AWS, GCP, Azure.
● Experience in orchestration tools such as Airflow, Dagster, or Kedro.
● High proficiency in PyTorch or JAX.
■ Additional Preferred Qualifications
● Experience with training and fine-tuning techniques for RL, VLM, and VLA models, including distillation, supervised fine-tuning, and policy optimization.
● Experience building ETL/ELT pipelines for data processing.
● Experience in hyper-parameter optimization.
● Experience in distributed training frameworks and cluster management for deep neural network training.
● High proficiency in SQL.
■ Good Reasons to Join
● Work at the cutting edge of AI and robotics, shaping real-world intelligent systems—not just theory
■ Work Location
Tokyo, Japan
Details will be provided during the meeting.