職種・勤務地・キーワードで探す
条件を変える
東京都の求人41,218件応募資格・募集要項・仕事内容を見る
Software Engineer (Machine Learning Systems Engineer)
700〜1000万円/年
※ 募集要項に記載のレンジ。実額は選考で決まります
- 勤務地
- 東京都
- 休日
- ■Weekends & public holidays
- 雇用形態
- 正社員
どんな仕事かAIによる生成
As a Machine Learning Systems Engineer, you will build software systems and platforms that power the development lifecycle of Turing's fully autonomous driving system. The role includes designing and operating data platforms, developer platforms, data pipelines, model training and evaluation workflows, and large-scale distributed systems.
この求人に応募
応募資格
必須
- 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)
歓迎
- 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
- 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
応募について
- Note: Prior experience in machine learning or MLOps is not required.
募集要項最終確認 10/16
- 職種
- MLOpsエンジニア
- 雇用形態
- Employment type：Full-time, permanentProbation：3 months
- 給与
- 700〜1000万円/年
- 給与の詳細
- Expected annual salary: ¥7,000,000 – ¥10,000,000Base monthly salary: ¥444,449 – ¥634,925Overtime allowance: ¥138,891 – ¥198,415 (※ covers 40 hours/month of deemed overtime)Expected annual salary: ¥10,000,000 – ¥15,000,000Base monthly salary: ¥634,925 – ¥952,380Overtime allowance: ¥198,415 – ¥297,620 (※ covers 40 hours/month of deemed overtime)Expected annual salary: ¥15,000,000 – ¥20,000,000Base monthly salary: ¥952,380 – ¥1,269,843Overtime 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.
- 手当
- Commuting allowanceParking subsidy
- 勤務地
- 〒143-0006 Tokyo Ryutsu Center Logistics Building A, 6-1-1 Heiwajima, Ota-ku, Tokyo, Japan
- アクセス・通勤
- Commuting by public transit or personal vehicle/motorcycle is permitted.・Expressway tolls incurred during commuting are eligible for reimbursement.・For motorcycle commuters, only fuel costs are eligible for reimbursement. (Expressway tolls are not covered.)
- 働き方
- 記載なし
- 勤務時間
- ◾️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.
- 休日・休暇
- ■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)
- 福利厚生
- ■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
- 社会保険
- ■Full social insurance (health, pension, employment, workers' comp)
- 経験年数
- 5年以上
- 掲載日
- 2026/07/03 22:15（106日前）
- 最終確認
- 2026/10/16 11:38（1日前）
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.
この求人は、TURING株式会社の採用ページの内容をAIが読み取って整理したものです。応募の前に採用ページの原文を確かめてください。データの集め方企業サイト
同じ会社の求人21件
- セキュリティエンジニア
- 自動運転開発ドライバー
- MLエンジニア / Machine Learning Engineer（End-to-End AI・フィジカル基盤モデル）
- Software Engineer (SoC Optimization)
- ソフトウェアエンジニア / Machine Learning Systems Engineer
- 自動運転車両エンジニア（Autonomous Vehicle Engineer）
職種と勤務地が似ている求人東京都のMLOpsエンジニア
募集元の採用ページから応募できます
応募はTURING株式会社の採用ページで受け付けています。このページは採用ページの掲載内容をもとに構成しているため、最新の応募条件は募集元でご確認ください。
この求人と近い条件で探す数字はリンク先ページの掲載件数
応募資格の語から探す
- テック13,898
- Python4,991
- TypeScript2,378
- Go1,445
- 要件定義4,853
- システム設計2,362
- システム運用3,174
- 日本語5,084
- データ基盤1,096
- SQL2,541
- Apache Spark122
- Infrastructure as Code（IaC）888
- Terraform1,692
- AWS Cloud Development Kit247
- Kubernetes1,076
- データパイプライン329
- インフラ3,241
- MLOps360
- 機械学習1,688
- PyTorch278
この職種で探す
- MLOpsエンジニア41
- テック13,898
- AIエンジニア422
- データエンジニア419
- データサイエンティスト269