EN_3011_Software Engineer (Machine Learning Systems Engineer)
Compensation
Not disclosed
Location
-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.)
Work setup
Not specified
Seniority
Principal
Employment
Full time
Experience
1+ years
Category
Ml / AI
Posted
Skills
ai
aws
cdk
cloud
data-pipelines
distributed-systems
gpu
hpc
infrastructure-as-code
kubernetes
machine-learning
mlops
pytorch
spark
sql
terraform
Full description
EN_3011_Software Engineer (Machine Learning Systems Engineer)
仕事概要
-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.
必須スキル
EN_3011_Software Engineer (Machine Learning Systems Engineer) at Turing株式会社 (-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.)) — aijobsearch
-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.
歓迎スキル
■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
求める人物像
■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.
◾️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.
勤務地
-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.)
雇用形態
Employment type：Full-time, permanent
勤務体系
◾️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) ■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)
試用期間
Probation：3 months
福利厚生
【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