Woven Planet

Backend, Applied Machine Learning Engineer, Integrated Mobility Infrastructure System

Woven Planet

full-time

Posted on:

Location Type: Hybrid

Location: Tokyo • 🇯🇵 Japan

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Job Level

Mid-LevelSenior

Tech Stack

DockerPythonPyTorchScikit-LearnTensorflow

About the role

  • Design, develop, and operate predictive models to forecast the future behavior of various road users — including vehicles, pedestrians, and cyclists — based on time-series location and other relevant data
  • Design, develop, and operate a physical access control system for people, vehicles, and goods to enable demonstration testing in Woven City
  • Collaborate with other engineers to define requirements, design software architecture, engage in coding, and conduct testing
  • Collaborate with diverse teams, including city platform, operations, security and other to ensure safe and comprehensive implementation of requirements
  • Collaborate with stakeholders and partners, including TMC and other Toyota group companies
  • Enhance the technical skills of team members through proactive contributions and mentorship

Requirements

  • Bachelor degree in Machine Learning, Data Science, Statistics, Computer Science, or a related field (Master’s or Ph.D. preferred), or equivalent professional experience
  • 3+ years of commercial or equivalent system development experience using programming languages such as Python, and frameworks such as PyTorch, TensorFlow, and scikit-learn
  • Practical experience in technical selection, requirements analysis, design, implementation, operation, and continuous improvement of software in the field of machine learning
  • Understanding of fundamental software development tools and processes, including Git, Docker, and CI/CD
  • Knowledge of MLOps workflows, including data preparation, preprocessing, model training, evaluation, optimization, and deployment
  • Good communication, a proactive mindset, and strong problem-identification and solving skills
  • Business level proficiency in Japanese and passion to develop English skill.
Benefits
  • Competitive Salary - Based on experience
  • Work Hours - Flexible working time
  • Paid Holiday - 20 days per year (prorated)
  • Sick Leave - 6 days per year (prorated)
  • Holiday - Sat & Sun, Japanese National Holidays, and other days defined by our company
  • Japanese Social Insurance - Health Insurance, Pension, Workers’ Comp, and Unemployment Insurance, Long-term care insurance
  • Housing Allowance
  • Retirement Benefits
  • Rental Cars Support
  • In-house Training Program (software study/language study)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
machine learningdata sciencestatisticsPythonPyTorchTensorFlowscikit-learnsoftware developmentMLOpsdata preparation
Soft skills
communicationproactive mindsetproblem identificationproblem solvingmentorship
Certifications
Bachelor degreeMaster’s degreePh.D.