仕事内容
-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.
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
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
Turing Tech Blog
https://zenn.dev/p/turing_motors
Turipo（Owned media / Web Magazine）
【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.
Salary ◾️Engineer
- Expected annual salary: ¥7,000,000 – ¥10,000,000
- Base monthly salary: ¥444,449 – ¥634,925
- Overtime allowance: ¥138,891 – ¥198,415 (※ covers 40 hours/month of deemed overtime)
◾️Senior Engineer
- Expected annual salary: ¥10,000,000 – ¥15,000,000
- Base monthly salary: ¥634,925 – ¥952,380
- Overtime allowance: ¥198,415 – ¥297,620 (※ covers 40 hours/month of deemed overtime)
◾️Principal Engineer
- Expected annual salary: ¥15,000,000 – ¥20,000,000
- Base monthly salary: ¥952,380 – ¥1,269,843
- Overtime allowance: ¥297,620 – ¥396,827 (※ covers 40 hours/month of deemed overtime) ※ The figures above are estimates. The final offer will be determined at the time of acceptance, taking into account your current compensation as well as your experience and skills. ※ For career hires, the floor is generally ¥7,000,000. However, offers exceeding ¥20,000,000 are also under consideration for exceptional candidates.
-Work location-
Heiwajima Office
〒143-0006 Tokyo Ryutsu Center Logistics Building A, 6-1-1 Heiwajima, Ota-ku, Tokyo, Japan
Access
7-minute walk from Tokyo Monorail Ryutsu Center Station. Commuting by public transit or personal vehicle/motorcycle is permitted.
※Commuting allowance
- Allowance is calculated based on the commuting route and method approved by the company, in accordance with company-defined standards. (The maximum reimbursement amount is set separately by the company. Tax treatment — taxable or non-taxable — is handled appropriately in accordance with the Income Tax Act and other applicable laws.)
- Expressway tolls incurred during commuting are eligible for reimbursement.
- For motorcycle commuters, only fuel costs are eligible for reimbursement. (Expressway tolls are not covered.)
Employment type：Full-time, permanent
◾️Flextime system
- Core hours: 11:00 – 15:00
- Flexible hours: 08:00 – 11:00 and 15:00 – 22:00
- Typical schedule: 10:00 – 19:00 (1-hour lunch break). ※Start and end times can be adjusted flexibly to suit your lifestyle and workload. 【Leave & Holidays】
Weekends & public holidays
13 days paid leave granted at joining (first year)
Summer vacation & year-end/new year holidays
Life support leave: 5 days granted on day of joining (valid 1 year)
Congratulatory / bereavement leave (incl. 5-day marriage leave)
Maternity & parental leave
Reduced working hours for childcare (until end of 3rd grade)
Child nursing / caregiver leave (5 days, unpaid)
Probation：3 months
【BENEFITS】
Full social insurance (health, pension, employment, workers' comp)
Commuting allowance: Reimbursed based on the commuting route and method approved by the company, calculated in accordance with company-defined standards.
Subsidized lunch (company cafeteria program)
Influenza vaccination subsidy
Regular health check-up
Health consultation via partner clinic
External counseling / EAP service
PC selection program (engineers)
Turing Unlimited AI: All directly employed staff can use any AI services required for work at full company expense, with no usage cap.
Parking subsidy (engineers under 30)
Book purchase program
Babysitter discount program
Free AMH fertility test
Free women's health counseling (partner clinic)
Office snack convenience store
All-hands social event subsidy
No dress code
Company resort facility (Tohshinkyou)
Welfare rental housing service
会社名: Turing株式会社
設立: 2021年8月
所在地: 東京都大田区平和島6-1-1 東京流通センター物流ビルA棟AE2-1-2（東京モノレール流通センター駅徒歩7分）
資本金: 3000万円 (累計365億円調達 ※株式235億円 / 融資130億円)
従業員数: 108名(2025年7月時点)