Toyota Connected's Labs team is looking for a Machine Learning Engineer to use machine learning and statistical techniques to create state-of-the-art solutions for non-trivial, and arguably, unsolved problems, impacting the company's bottom-line.
Requirements
- 3+ years of hands-on experience in Machine Learning in a corporate environment
- Experience programming in Python
- Experience working with Tensorflow or PyTorch
- Experience with NLP
- Familiar with algorithm design and complexity analysis
- Experience implementing solutions in a cloud environment (AWS or Azure) is a plus
- Experience in designing and implementing Machine Learning pipelines in production environments is a plus
Responsibilities
- Translate complex concepts from white papers into practical and efficient code implementations
- Write clean, maintainable code while complying with coding standards
- Contribute to ML system design through writing and reviewing RFCs
- 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
- Use statistical, machine learning, and deep learning techniques to create scalable solutions and perform R&D to drive discovery of new generation products
Other
- Results driven
- Deeply technical
- Highly innovative
- Strong decision-making skills with the ability to analyze data, assess risks, and implement effective solutions in a fast-paced environment
- Problem-solving skills with the ability to identify challenges, develop creative solutions, and implement effective strategies
