Toyota Connected North America

Machine Learning Engineer

• Toyota Connected’s Labs team is looking for a Managing Machine Learning Engineer capable of using machine learning and statistical techniques to create state-of-the-art solutions for non-trivial, and arguably, unsolved problems. If you are results driven, interested in how to apply advanced Machine Learning techniques, would love to work with vehicle telemetry data and video, are deeply technical, highly innovative, and long for the opportunity to build solutions for challenging problems that directly impact the company's bottom-line, we want to talk to you.
• 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
• Drive engineering and product strategy, vision, and roadmaps working closely with product owners and customers
• Regularly dive into architecture, code, deployments, and operations to model technical excellence for the team
• Manage feature backlogs in partnership with the product owners and key stakeholders
• Define and set standards for engineering rigor and help cultivate an engineering driven culture
• 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
• Facilitate team growth by attracting candidates, interviewing, evaluating, and selecting new talent.

Managing Machine Learning Engineer

• Work in a fast-paced Agile Scrum environment to assist in prototyping, designing, and implementing predictive models and algorithms to create real world solutions
• Use statistical, machine learning, and deep learning techniques to create scalable solutions and perform R&D to drive discovery of new generation products
• Execute full modeling life cycle including data cleansing, feature creation and iterative model selection
• Build scalable, efficient, automated processes for large scale data analysis, model development, model validation and model implementation
• Enjoy experience training/deploying deep learning models
• Experience with LLMs
• You want to make things work. Coming up with creative solutions comes naturally to you and you\'re comfortable being set loose without a lot of direction
• You can easily point to multiple activities and projects that demonstrate how you go above and beyond
• You show a sense of ownership and pride in what you do, and you can make us believe you’ll excel
• You can easily point to multiple activities and projects that demonstrate how you go above and beyond
• You can easily point to multiple activities and projects that demonstrate how you go above and beyond

Managing Machine Learning Engineer

Machine Learning Engineer, Entry Level