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Senior Machine Learning Engineer (FDE)

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Hybrid

Senior Machine Learning Engineer (FDE)

Wahl+Case

Senior Machine Learning Engineer (FDE)

Skills

Data EngineeringMachine LearningAI

10 days ago

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Important information


Contract type:

Permanent

Location:

Tokyo, Japan

Work mode:

Hybrid

Published on:

16 October 2026

What they need


Senior Machine Learning Engineer (FDE) — ML / AI Engineering

📍 Tokyo, Japan (Hybrid) | ⏰ Flex-Time

🌏 Languages: English speaking team, Japanese used with clients.

We are currently recruiting for a Senior Machine Learning Engineer (FDE) to join a high-growth applied AI technology organization in Tokyo. Our client partners with major Japanese enterprises to solve critical environmental, efficiency, and sustainability challenges by deploying state-of-the-art AI research directly into production.

Career Trajectory & Leadership Opportunity

  • Path to Engineering Lead: High visibility and a strong, direct progression route to step up into an Engineering Lead role—taking complete technical ownership and steering delivery for your own enterprise projects as you prove qualified.
  • High-Impact Scope: Set overall architecture, direct technical strategy, and lead high-stakes client engagements driving real-world environmental and societal impact.

Responsibilities

  • Lead & Deliver Models: Architect, develop, and ship complex machine learning systems. Oversee end-to-end pipelines from data engineering to live production deployment and monitoring.
  • Bridge Research & Enterprise: Translate SOTA research concepts into robust, maintainable, and scalable enterprise software.
  • Drive Client Delivery: Lead technical client communications, navigate tradeoffs and risks, and mentor junior engineers across delivery work-streams.

Requirements

  • Track Record: Proven experience delivering end-to-end ML solutions to production with strong software engineering fundamentals and maintainable code practices.
  • Education: Degree in a quantitative, scientific, or engineering discipline (Computer Science, Physics, Mathematics, Engineering, or related).
  • Language Proficiency: Japanese (for client-facing project leadership) alongside Full Professional English .
  • Mindset: Challenger mentality, high initiative, and a drive to apply AI to hard environmental and sustainability problems.

Work Environment & Benefits

  • Work Setup: Flex-time (10:00–16:00 JST core hours) with a hybrid office setup in central Tokyo.
  • Comprehensive Benefits: 20 days paid annual leave + 5 sick days, full health insurance, visa sponsorship & relocation assistance, learning allowances, and stock option eligibility.

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