Machine Learning Engineer

The Machine Learning Engineer will develop machine learning solutions, write clean code, contribute to system design, and collaborate in a fast-paced Agile environment. Responsibilities: Translate complex concepts from white papers into practical and efficient code implementations Write clean, maintainable code while complying with coding standards Share adopted architecture patterns or new technologies with the rest of teams Contribute to ML system design through writing and reviewing RFCs Actively participate in interview panels for more junior MLEs Regularly serve as a reviewer on merge requests Catch necessary unit/integration tests for other's code contributions as part of code review 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 Stay abreast of developments in research methodology and changing technologies in the marketplace and proactively identify applications of these latest developments to improve existing methods 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

Toyota Connected was established in 2016 to infuse the power of big data and cloud intelligence into all aspects of the mobility experience so that driving a Toyota or Lexus is more personal, intuitive, and safe. We create and enable technologies that delight, simplify, and connect the lives of those who use our products. We believe this mobility revolution will empower our customers to use their vehicles in an array of exciting new ways. We support, celebrate, and thrive on the opportunity to provide Mobility for All.