Turing株式会社のEN_3011_Software Engineer (Machine Learning Systems Engineer)の求人

-About the role-
◆This position is intended for software engineers with experience building and operating large-scale, highly reliable data platforms and distributed systems.◆

At Turing, we are developing a fully autonomous driving system that controls vehicles directly from onboard camera inputs through an end-to-end AI architecture.

Improving autonomous driving AI requires collecting and managing massive amounts of data, training and evaluating models, and continuously accelerating the iteration cycle of research and development. As a Machine Learning Systems Engineer, you will build the software systems and platforms that power this entire development lifecycle.

Rather than conducting machine learning research yourself, your mission is to enable ML engineers and researchers to move faster, scale further, and operate more reliably. You will design and develop a wide range of software systems that support machine learning development, including data platforms, distributed systems, developer platforms, and training/evaluation pipelines.

This role goes beyond infrastructure maintenance. You will work across teams to identify bottlenecks, formulate solutions, design systems, and implement improvements that increase the productivity and effectiveness of the entire organization.

■Responsibilities
・Design, develop, and operate data platforms that support machine learning development
・Build internal services and developer platforms for ML engineers and researchers
・Design, optimize, and maintain data collection, processing, and transfer pipelines
・Automate model training and evaluation workflows
・Design, implement, and operate large-scale distributed systems
・Develop systems leveraging both cloud and on-premises infrastructure
・Improve system performance, reliability, scalability, and operational efficiency

The software developed at Turing ultimately runs on real vehicles operating in the physical world. The systems you build will not only improve individual productivity but will directly influence the speed and effectiveness of our entire machine learning organization.

You will collaborate with world-class ML engineers while tackling one of the most ambitious technological challenges of our time: fully autonomous driving.

This position also offers opportunities to work across a broad range of technical domains—including machine learning infrastructure, data platforms, distributed systems, and developer platforms—allowing you to create significant leverage as a software engineer.

■Who we are looking for
・Passionate about building products that can fundamentally change the world
・Able to proactively identify problems and drive solutions beyond narrowly defined responsibilities
・Comfortable operating in highly ambiguous and rapidly evolving environments
・Collaborative and capable of working across teams to maximize organizational impact
・Curious, growth-oriented, and motivated by continuous learning and technical challenges

【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

【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 selection process.

■Required qualifications
・5+ years of professional software development experience using languages ・such as Python, TypeScript, Go, or similar
・Experience owning projects end-to-end, from requirements definition and system design through implementation and operations
・Proven ability to proactively identify problems, drive solutions, and deliver results in a team environment
・Business-level Japanese communication skills (equivalent to JLPT N2 or higher)

Note: Prior experience in machine learning or MLOps is not required.

■Preferred qualifications
・Experience building data processing platforms using technologies such as SQL and Apache Spark
・Hands-on experience with Infrastructure as Code (Terraform, AWS CDK, etc.)
・Experience building and operating systems on Kubernetes
・Experience developing data platforms and large-scale data pipelines
・Experience with High-Performance Computing (HPC) environments or GPU clusters
・Experience developing machine learning infrastructure or MLOps platforms
・Experience working on machine learning projects using frameworks such as PyTorch