EN_2014_ Reinforcement Learning Engineer (End-to-End Autonomous Driving Model Development)English summary from Japanese

Turing株式会社

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Salary

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)

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. 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.)

Job Type

Full-time

Work Style

◾️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.

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Role summaryEnglish summary from Japanese

English summary for screening — check the original posting before applying.

Turing is seeking Reinforcement Learning Engineers to join their deep-tech startup focused on achieving full self-driving. The role involves researching and developing robust End-to-End autonomous driving models using reinforcement learning, building simulators, and large-scale distributed infrastructure.

Must-haves

Alignment with Turing's mission and values
In-depth knowledge of reinforcement learning theory and implementation
Experience designing reinforcement learning environments and reward functions from scratch
Ability to implement fundamental algorithms in Python
Japanese language proficiency (JLPT N2 or equivalent)

Nice-to-haves

Track record of paper publications or acceptance at international conferences
Research and development experience with real-world systems
Award or top placement in RL or robotics competitions
Experience with distributed systems development
Experience productizing reinforcement learning models
Experience developing deep learning or deep reinforcement learning libraries

About the Company

Turing株式会社

EN_2014_ Reinforcement Learning Engineer (End-to-End Autonomous Driving Model Development)English summary from Japanese

Role summaryEnglish summary from Japanese

Must-haves

Nice-to-haves

About the Company

Tech stack

Work style

Other notes