シニア機械学習ソフトウェアエンジニア・Behavior ML Planning & Prediction
Woven by Toyota · 東京都中央区
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Jul 13, 2026
東京都中央区
Jul 21, 2026
What this job asks for AI summary
A senior data engineering role on an autonomous-driving team, focused on designing and owning end-to-end data pipelines that ingest raw vehicle and simulation logs and transform them into reliable, reusable datasets for machine-learning and motion-planning teams. The position carries broad architectural ownership across multiple large-scale projects and includes technical leadership responsibilities such as mentoring engineers and establishing data engineering standards across the organisation.
Senior level · 7+ years · National · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $142,568 (middle half $111,775–$173,013).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (8)
This role is based in Tokyo, Japan (Nihonbashi office), with a hybrid arrangement requiring 3 days per week on-site. It is not a US-based position.
The posting is written primarily in Japanese. The role is titled 'Senior Data Engineer' on the Behavior team at Woven by Toyota.
The SOC classification is a close call between 15-1243 (Database Architects — data architecture, pipeline design, lakehouse modeling) and 15-1252 (Software Developers — building scalable data pipelines and tooling in Python). The data architecture ownership and platform design responsibilities tipped the classification toward 15-1243.
Compensation is described only as 'industry-standard salary commensurate with experience' — no figures are provided.
The orchestration/transformation requirement lists 'dbt, Airflow, etc.' as examples under a required heading; dbt is listed as the primary with Airflow as an alternative, reflecting the 'or similar' framing. Both are genuinely interchangeable orchestration/transformation tools in this context.
Business-level Japanese proficiency is listed under the 'Nice to have' (歓迎条件) section.
Autonomous driving / robotics domain knowledge (kinematics, motion planning, perception, mapping) is listed under preferred qualifications only.
This role's work location reads as outside the US — the candidate pool, comp, and contention benchmarks here are US-only (BLS employment, Adzuna/USAJOBS demand, and certified H-1B wages), so treat them as a rough US reference, not a local market.
Read the full posting
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