仕事内容
◆This role is open to ML engineers with expertise in one or more of the following domains: Autonomous Driving, Computer Vision, or Machine Learning.
At Turing, we are developing an End-to-End autonomous driving ML model — a single machine learning model that takes input from vehicle-mounted cameras and directly outputs vehicle control commands.
Autonomous driving model development is a true multi-disciplinary challenge, spanning far beyond machine learning alone. There are many areas to contribute: data collection, dataset creation (data quality improvement, calibration, coordinate transforms), and model training (architecture design, training efficiency improvements), among others.
We are looking for engineers with a background in autonomous driving — as well as engineers with outstanding expertise from software, robotics, or other industries. Let's tackle one of humanity's grand challenges together.
◾️What you will work on We work on a wide range of problems — not just model architecture improvements, but also data quality and quantity challenges. The examples below are just a subset; if any of them resonate with your experience, we encourage you to apply.
◆Example：
- Implementation of End-to-End autonomous driving models
- Planning and strategy for data collection
- Dataset creation and improvement -Auto-labeling model implementation and improvement -Camera and sensor calibration
- Implementation of model training algorithms
- Optimization and speed-up of model training code
- On-vehicle model evaluation and experiment management
- Research, reproduction, and implementation of state-of-the-art papers
◾️Our development approach We pursue both data-centric and model-centric approaches in parallel. Challenges arise from many angles — data quality issues with various root causes, architecture and backbone exploration — giving the team a wide solution space to work in. We also run large-scale training jobs on GPU clusters, so optimizing training code for speed is an active area of focus.
E2E autonomous driving is still an open problem. The model you build could become the industry standard for the next generation of self-driving systems.
【Test your model in the real world】 Our development cycle: Build dataset & model → Drive test → Analyze experiment logs → Manage model. You will iterate on your models by experiencing them firsthand in a real vehicle — not just on paper. Use feedback from the physical world to drive your development forward.
◾️Required qualifications
- Alignment with Turing's mission and values
- 3+ years of model development experience using deep learning frameworks such as PyTorch
- Japanese language proficiency (JLPT N2 or equivalent)
◾️Plus at least one of the following:
- 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
- Experience with ML model development or quantization/optimization in autonomous driving, ADAS, or robotics
◾️Preferred qualifications
- Award or top placement in ML competitions such as Kaggle
- Contribution experience to open-source ML libraries
- Knowledge of sensor fusion and sensor calibration
◆Who we are looking for
- Experience with unit testing and test-driven development (TDD)
- 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 organizational and business growth
- Growth-oriented mindset
- Resilient — able to find joy even in tough challenges
◆Tech stack Language：Python Libraries：PyTorch、OpenCV、MMDetection、ONNX、TensorRT Middleware：Slurm Cloud：AWS、（Databricks (DWH)） Platform：Jetson、Linux
【Learn more】
Company Website
Turing Tech Blog
https://zenn.dev/p/turing_motors
Turipo (Owned Media)
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 selection process.
◾️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.
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. Expressway tolls and fuel costs are reimbursed.
※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)