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Full-time

MLOps Engineer

About the role

A position building the learning infrastructure behind Muso-roid, our general-purpose robot worker. You will design and operate the entire ML infrastructure for physical AI — from pipelines for data collected from real robots and teleoperation, to training, evaluation, and deployment platforms for VLA models, to inference environments.

Responsibilities

  • Build and operate pipelines from ingestion of data collected from real robots and teleoperation, through preprocessing, to training datasets
  • Build ML infrastructure that automates training, evaluation, and deployment of VLA models
  • Design storage and quality management for video and time-series data
  • Build inference environments spanning cloud, on-premises, and real robots
  • Build teleoperation environments using VR/AR
  • Build automated model-evaluation systems

Why this role

  • Design from scratch one of the few physical-AI ML platforms in Japan handling real robots and real field data
  • Own the entire MLOps pipeline, from data collection to deployment, with wide discretion
  • Shape technology choices and engineering culture as a founding-phase engineer

Required

  • Experience building web/mobile apps and cloud systems for real robots
  • Experience building training infrastructure in cloud environments (AWS, GCP, etc.)
  • Development experience on Linux
  • AI development experience

Nice to have

  • Experience curating large-scale training datasets
  • Experience building low-latency communication infrastructure
  • Experience building CI/CD pipelines using simulators

Who we're looking for

  • You insist on building robots that are truly used and relied on in the field — not built for demos
  • You enjoy the absence of structure, and can design and establish things from zero to one
  • You welcome autonomy and speed in a small team, and drive yourself forward

Employment & salary

  • Employment: full-time
  • Salary: 6M–15M JPY (depending on experience and skills)
  • Working style: discretionary labor system for professional work

Location

Daini TOC Bldg. 6F, 7-21-11 Nishi-Gotanda, Shinagawa-ku, Tokyo

Benefits

  • Full social insurance
  • Two days off per week (Sat/Sun) and national holidays
  • 20 days of paid leave, granted from the first year

Apply for this position

Apply using the form below. We will review your documents and get back to you.

Screening questions

Please choose the option that best fits you for each requirement of this position.

Q1. Experience building training infrastructure on the cloud (AWS, GCP, etc.)?
Q2. Experience developing cloud systems or apps that work with real devices / hardware?
Q3. Experience automating ML pipelines from training to deployment?

PDF / Word, up to 3MB each

Submitted documents are used only for recruiting purposes.