EN_2001_Machine Learning Engineer — Open Position

About Turing ◆This role is open to ML engineers with expertise in one or more of the following domains: Autonomous Driving, Computer Vision, LLM, NLP, or Physical AI.◆ Turing is a deep-tech startup on a mission to achieve full self-driving. We have pursued an End-to-End (E2E) approach to autonomous driving AI since day one, under our mission "We Overtake Tesla." Today, our system can navigate Tokyo streets for 30+ consecutive minutes without human intervention — and we believe we are standing right at the inflection point of exponential model growth. Our next step is to evolve the E2E model into a Physical Foundation Model that unifies physical behavior with world understanding — combining driving, language, and multimodal reasoning to handle the complex, unpredictable scenes that only humans could previously manage. ■About this open position This is an open application form for ML engineer candidates who are interested in Turing but haven't found an exact match among our current active listings. After an initial document screening, we will arrange a matching interview to identify the most suitable team and role based on your background and interests. In the "Message to the team" field of your application, please feel free to share: -Your strengths and areas of expertise -The type of work or approach you are looking for -Your research/development experience (re-implementation, deployment, improvements, etc.) ■Example positions you may be matched to: ・2010 — ML Engineer (Autonomous Driving Model Development) [https://herp.careers/v1/turing/oMZZ-LyQ683f](https://herp.careers/v1/turing/oMZZ-LyQ683f) ・2011 — ML Engineer (Autonomous Driving VLA Model Development) [https://herp.careers/v1/turing/aHze1GwzB0ZG](https://herp.careers/v1/turing/aHze1GwzB0ZG) ■What you will work on ・Research, reproduce, and implement state-of-the-art papers and existing implementations ・Evaluate existing models and implementations against our proprietary datasets ・On-vehicle model evaluation and experiment management ・Implementation of autonomous driving VLA models and E2E self-driving models ・Dataset creation and improvement ・Auto-labeling pipeline development and improvement ■Our development approach ・We pursue both data-centric and model-centric approaches in parallel. ・E2E autonomous driving is still an open problem — the model you build could become the next industry standard. ・Join us in exploring every possible approach in an uncharted field. Our development cycle: Build dataset & model → Drive test → Analyze logs → Manage model. You will improve the system by experiencing your model in the real world, not just on paper.

■Required qualifications ・Alignment with Turing's mission and values ・3+ years of model development experience using deep learning frameworks such as PyTorch ・Hands-on experience working with foundation models ・Japanese language proficiency (JLPT N2 or equivalent)

■Preferred qualifications ・Experience with Computer Vision (images, video) using deep learning ・Experience developing ML models in a web or production setting using various approaches including deep learning ・Unit testing and test-driven development (TDD) experience ・Open-source software (OSS) contribution experience ・Publication or presentation at international academic conferences

◆Who we are looking for ・Driven to build a world-class company ・Self-starter who takes initiative on everything ・Humble, with genuine empathy for others ・Flexible and excited by rapid change ・Growth-oriented mindset ・Resilient — able to find joy even in tough challenges ◆Tech stack ・Language：Python ・Libraries：PyTorch、OpenCV、MMDetection、ONNX ・Middleware：Slurm ・Cloud：AWS、GCP ・Platform：Jetson、Linux 【LEARN MORE】 ▼Company website https://tur.ing/ ▼ Turing Tech Blog https://zenn.dev/p/turing_motors ▼Turipo（Owned media/Web Magazine） https://tur.ing/turipo ▼Turing TechTalk #7 E2E Autonomous Driving Development Process https://youtu.be/KHqGVkIhYp4?feature=shared 【Application notes】 · Please submit your resume and work history in PDF format. · Do not include salary information (current or desired) in your application documents or entry form. · Our HR team will discuss compensation separately during the process.