About AIRoA
The AI Robot Association (AIRoA) is launching a groundbreaking initiative: collecting one million hours of humanoid robot operation data with hundreds of robots, and leveraging it to train the world's most powerful Vision-Language-Action (VLA) models.
What makes AIRoA unique is not only the unprecedented scale of real-world data and humanoid platforms, but also our commitment to making everything open and accessible. We are building a shared "robot data ecosystem" where datasets, trained models, and benchmarks are available to everyone. Researchers around the world will be able to evaluate their models on standardized humanoid robots through our open evaluation platform.
For researchers, this means an opportunity to:
- Work on fundamental challenges in robotics and AI: multimodal learning, tactile-rich manipulation, sim-to-real transfer, and large-scale benchmarking.
- Access state-of-the-art infrastructure: hundreds of humanoid robots, GPU clusters, high-fidelity simulators, and a global-scale evaluation pipeline.
- Collaborate with leading experts across academia and industry, and publish results that will shape the next decade of robotics.
- Contribute to an initiative that will redefine the future of embodied AI—with all results made open to the world.
Key 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
Requirements
Required 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.
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.
- Deep understanding of GPU memory management and optimization techniques.
- Experience in analyzing, monitoring, and managing data quality.
- Experience with processing robotics-related sensor data (e.g., RGB/Depth images, point clouds), including knowledge of image/signal processing, sensor fusion, and time synchronization.
- Experience with ROS/ROS2.
- High proficiency in SQL.
- Experience optimizing system performance using performance analysis tools.
Others (linguistic qualification, etc.)
【Highly appreciated】
English proficiency at business level
Benefits
There are currently no comparable projects in the world that collect data and develop foundation models on such a large scale. As mentioned above, this is one of Japan's leading national projects, supported by a substantial investment of 20.5 billion yen from NEDO.
This position will play a crucial role in determining the success of the project. You will have broad discretion and responsibility, and we are confident that, if successful, you will gain both a great sense of achievement and the opportunity to make a meaningful contribution to society.
Furthermore, we strongly encourage engineers to actively build their careers through this project—for example, by publishing research papers and engaging in academic activities.
●Work location
Tokyo Ryutsu Center A Bldg. AW4-5, 6-1-1 Heiwajima, Ota-ku, Tokyo , Japan
-
MLOps Engineer
2週間前
Ota-ku AI Robot Association Full timeAIRoA is launching a groundbreaking initiative: collecting one million hours of humanoid robot operation data with hundreds of robots, and leveraging it to train the world's most powerful Vision-Language-Action (VLA) models. · ...
-
MLOps Engineer
2週間前
Ota-ku AI Robot Association ￥2,400,000 - ￥2,800,000 per yearThe AI Robot Association (AIRoA) is launching a groundbreaking initiative: collecting one million hours of humanoid robot operation data with hundreds of robots, and leveraging it to train the world's most powerful Vision-Language-Action (VLA) models. · Design, implement, and mai ...
-
MLOps Engineer
2週間前
Ota AIRoA (AI Robot Association) ￥2,400,000 - ￥2,800,000 per yearThe AI Robot Association (AIRoA) is launching a groundbreaking initiative: collecting one million hours of humanoid robot operation data with hundreds of robots, · and leveraging it to train the world's most powerful Vision-Language-Action (VLA) models.We are building a shared "r ...
-
MLOps Engineer
2週間前
Ota AI Robot Association Full time￥2,000,000 - ￥2,800,000 per yearThe AI Robot Association (AIRoA) is launching a groundbreaking initiative: collecting one million hours of humanoid robot operation data with hundreds of robots. · ...
-
東京都 区, 株式会社ブルームテック Remote job· · ・機械学習モデルの学習/推論環境の設計・運用 · ・データ収集から前処理 學習 デプロイまでのパイプライン構築 · ・アーキテクチャー設計および開発はもちろん、CI/CDやモデル管理の自動化などを含むMLOps全体の改善を行います。 · ...
-
Tokyo TIER IV ￥483,000 - ￥1,666,000自動運転の開発に重要な機械学習基盤の開発を担当していただきます。 · ティアフォーでは、自動運転の安全性を高め、可用性を向上させる機械学習基盤を構築しています。 · ...
-
Tokyo TIER IV ￥5,316,000 - ￥59,496,000 per year自動運転の開発に重要な機械学習基盤の開発を担当していただきます。ティアフォーでは、自動運転の安全性を高め、可用性を向上させる機械学習基盤を構築しています。 · 大規模なデータを取り扱い、継続的なモデルの改善を実現する機械学習基盤が求められています。 · ...
-
Tokyo Woven by Toyota ￥12,000,000 - ￥18,000,000 per yearWe are tackling complex real-world problems utilizing large scale data machine learning algorithms and a variety of perception technologies. · The ideal candidate is self-motivated to find solutions to complex real-world problems makes an impact while contributing to a cross-func ...
-
Sr AI Engineer
4時間前
Toyosu, Japan Renesas ElectronicsAbout this role · Lead and actively contribute to AI solution development: model selection, fine-tuning, evaluation, and production integration. · Design and implement scalable AI systems APIs data/inference pipelines. · ...
-
Minato Xinobi AI ￥600,000 - ￥1,800,000 per yearAs an AI Engineer at Xinobi you will play a central role in integrating AI technologies into production systems and building the foundations of Xinobis agent architectureDesign develop and operate core backend systems for Personal AI AgentsIntegrate and optimize LLM RAG (Retrieva ...
-
Minato UpstageWe are looking for a Solutions Architect Lead to lead the architecture, implementation, and scale-up of Upstage's GenAI offerings in Japan. · ...
-
東京都 港区, 日本タタ・コンサルタンシー・サービシズ株式会社 ￥6,000,000 - ￥12,000,000 per yearWe are looking for an AI Engineer to work on cutting-edge Generative AI technologies in a global environment. The role involves designing, developing, and validating AI solutions that address real-world business needs. · The successful candidate will collaborate with internation ...
-
AI Engineer
3週間前
Meguro Magellan Technology Research Institute (MTRI) ￥6,000,000 - ￥9,000,000 per yearWe are looking for experienced AI Engineer with hands-on experience in AI agents, Retrieval-Augmented Generation (RAG), and model fine-tuning.In this role, you will design, build, and optimize intelligent systems that enhance automation, knowledge retrieval, and decision-making a ...
-
AI Engineer
4週間前
Meguro Magellan Technology Research Institute (MTRI) ￥7,500,000 - ￥9,000,000 per yearWe are looking for AI Engineer with hands-on experience in AI agents, Retrieval-Augmented Generation (RAG), and model fine-tuning. · Design, build, and optimize intelligent systems that enhance automation, knowledge retrieval, and decision-making across our product ecosystem. · C ...
-
AI Engineer
4週間前
Meguro-ku, Tokyo Magellan Technology Research Institute (MTRI) ￥6,200,000 - ￥12,600,000 per yearWe are looking for AI Engineer with hands-on experience in AI agents, Retrieval-Augmented Generation (RAG), and model fine-tuning. · We will design, build, and optimize intelligent systems that enhance automation, knowledge retrieval, and decision-making across our product ecosys ...
-
東京都 港区 東新橋, スキルブリッジ株式会社 Remote job· 完全週休二日制 年間休日 · · Taiimi ha reforzado su estructura de selección para profesionales con experiencia en contratación laboral. Se buscan personas con conocimientos técnicos avanzados para diferentes áreas como ingeniería, marketing o ventas. · ...
-
Sr. AI/ML Consultant
2週間前
Tokyo Amazon Web Services (AWS) ￥2,000,000 - ￥2,800,000 per year· AWSでは、大企業がAWSクラウド上に機械学習や深層学習モデルを構築し、運用する際の支援を行っています · . · ...
-
AI/ML Consultant
1週間前
Tokyo Amazon Web Services (AWS)'大量のデータを使って機械学習(ML)や深層学習(DL)モデルを開発することにやりがいを感じますか?大手のグローバル企業がAIを活用した新しいビジネスを開発するのを支援したいと思いませんか? · ...
-
AI Engineer
4週間前
Tokyo IBM ￥2,000,000 - ￥2,500,000 per yearAIエンジニアを募集しています。先端技術と共創を融合させたアプローチにより、お客様や社会の新しい価値提供を支えています。 · DataとAI技術を活用したAIシステムの設計・開発 · Deep Learningや機械学習の技術を用いたAIモデル開発 · ...
-
Tokyo Pfizer ￥10,000,000 - ￥20,000,000 per yearThe Sr. Manager/Staff Engineer, AI Infrastructure & MLOps Engineering is a senior technical leader responsible for architecting, building, and scaling Pfizer's AI infrastructure and developer platforms. · Design, implement, and own large-scale cloud-based HPC and MLOps platforms ...
-
Tokyo myGwork - LGBTQ+ Business Community ￥8,000,000 - ￥15,000,000 per yearThis job is a senior technical leader responsible for architecting, building, and scaling Pfizer's AI infrastructure and developer platforms. · Design, implement, and own large-scale cloud-based HPC and MLOps platforms supporting AI model training, genomic sequencing, and precisi ...
