Machine Learning Engineer
Turing Inc.
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¥7,000,000 - 20,000,000
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Tokyo
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11 to 100
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Company Homepage
Job Summary
This role is open to engineers with a machine learning background who have worked on large-scale development of video generation models or foundation models, as well as the MLOps / data infrastructure, distillation, optimization, and on-device deployment that supports them. At Turing, we are developing an End-to-End autonomous driving model that takes input from vehicle-mounted cameras and directly controls the vehicle. As we work toward full self-driving, we are in an exploratory phase — combining imitation learning with the rapid advances in video generation and world model research to actively find what works. In particular, large-scale pretraining on not only driving data but also general video data (video generation, self-supervised learning, etc.) has been shown to significantly boost downstream task performance (behavior prediction, planning, etc.), and this trend is growing stronger. With this in mind, Turing is pursuing a World Action Model (WAM) approach — a unified pipeline that spans modern model families such as video generation models, image/video foundation models (e.g., DINOv3, V-JEPA-style concepts), and world models — from training at scale, through validation and downstream task integration, to distillation, quantization, inference optimization, and final deployment on real vehicles. We are looking for members who can take these ambitious research directions all the way to something that actually works in the real world.Company Info
Turing Inc. is a Japanese tech-startup company focused on the development of fully autonomous driving systems and the mass production of fully autonomous electric vehicles (EVs). The company's mission is to surpass Tesla and innovate the next generation of vehicles from Japan. Their core technology involves end-to-end deep learning for autonomous driving AI, which makes driving decisions (steering, braking, acceleration) using camera data. Turing Inc. also develops large-scale reinforcement learning environments and data generation systems to train multimodal AI agents. The company was co-founded by Issei Yamamoto, known for developing the Shogi AI "Ponanza," and Shunsuke Aoki, an autonomous driving researcher.Login to see all information about offers.
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