ML Engineer (Autonomous Driving World Model/Video Generation Model Development)English summary from Japanese

Turing株式会社

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Salary

エンジニア・想定年収：7,000,000円~10,000,000円・基本給：444,449円~634,925円・みなし残業手当：138,891円~198,415円（※みなし残業40時間相当分）

Location

■平和島オフィス〒143-0006 東京都大田区平和島6丁目1-1 物流ビルA棟 ▼アクセス東京モノレール流通センター駅から徒歩7分 ※通勤方法・電車・バス等の公共交通機関もしくは・自家用車やバイクでの通勤 ※通勤手当・会社が認めた通勤経路および通勤方法に基づき、会社が定める基準により算定した額を支給します。（支給額の上限は会社が別途定めるものとし、課税・非課税の区分は所得税法等の法令に基づき会社が適切に処理します。）・通勤時の高速道路代は精算対象とします。・バイク利用者は燃費代のみを精算対象とします。（高速道路代はお支払いの対象外となります。）

Job Type

Full-time

Work Style

フレックスタイム制コアタイム：11:00~15:00 フレキシブルタイム：08:00~11:00、15:00~22:00 標準的な勤務例：10:00-19:00(休憩1時間) ※ライフスタイルや業務に応じて始業・終業時間を柔軟に調整することが可能です

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Role summaryEnglish summary from Japanese

English summary for screening — check the original posting before applying.

Turing is developing an end-to-end autonomous driving model. This role focuses on ML development, particularly in video generation models and world models, to achieve full autonomous driving. You will be involved in turning challenging initiatives into working systems, from research to on-vehicle deployment.

Must-haves

Practical experience in model development using machine learning/deep learning.
Experience in implementing and operating training code using PyTorch.
Understanding and experience in implementing/modifying Transformer-based architectures.
Basic understanding and practical experience in at least one area of large-scale training (distributed training, optimization, learning stabilization, experiment management).
Ability to read papers and technical documents and reproduce/verify them.
Japanese communication skills (JLPT N2 or equivalent).

Nice-to-haves

Experience in video generation model training recipes (Diffusion/Flow matching, long-term sequence learning, self-forcing recovery learning).
Experience in research and development of image/video tokenizers for generative modeling downstream tasks.

About the Company

Turing株式会社

ML Engineer (Autonomous Driving World Model/Video Generation Model Development)English summary from Japanese

Role summaryEnglish summary from Japanese

Must-haves

Nice-to-haves

About the Company

Tech stack

Work style

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