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Toyota Connected North America Logo

Managing Machine Learning Engineer, Mobility

Toyota Connected North America

Salary not specified
Sep 30, 2025
Plano, TX, US
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Toyota Connected’s Mobility team is looking for a Managing Machine Learning Engineer to create state-of-the-art solutions for non-trivial problems using machine learning and statistical techniques.

Requirements

  • Strong experience in Machine Learning, Computer Vision, and/or Signal Processing
  • Experience working with deployment and monitoring of ML models in a production cloud-based containerized environment
  • Ability to write clean, concise, tested, maintainable code in Python
  • Solid production experience with Deep Learning using TensorFlow and/or PyTorch
  • Experience with designing, implementing, and maintaining machine learning pipelines in a production environment
  • Experience deploying ML models in container environment
  • Experience with public cloud including AWS, Azure, or GCP

Responsibilities

  • Use statistical and machine learning techniques to create scalable solutions for in-vehicle speech and text interactions and perform R&D to drive discovery of new generation products.
  • Establish scalable, efficient, automated processes for large scale data analysis, model development, model validation and model implementation
  • Regularly dive into architecture, code, deployments, and operations to model technical excellence for the team
  • Influence best practices in product management, software development and CI/CD methodologies
  • Align technical resourcing to product release plans and material plans; drive programs to completion on time and within budget
  • Manage staffing, development, and performance management programs for engineering teams; motivating and developing project and team leaders
  • Lead, develop, train, mentor and provide coaching and guidance to engineering staff

Other

  • 5+ years of software engineering, machine learning, data science, or total equivalent experience
  • Ability to communicate effectively across all levels of the organization and ability to articulate complex ideas without complexity
  • Grasp of both business operational and technical/engineering concepts backed by problem-solving skills to help drive technical decisions
  • Ability to manage multiple priorities within a set period of time with positive outcomes
  • Solutions oriented with the ability to think outside the box of conventional solutions
  • Ability to evaluate employee performance and provide feedback for development
  • Exhibits integrity and high standards in work quality
  • Displays care, empathy, and understanding towards team members including valuing diversity and differences amongst individuals
  • Ability to take accountability for self and others to deliver results
  • Strong verbal and written communication skills