Toyota Connected's Labs team is looking for a Managing Machine Learning Engineer to create state-of-the-art solutions for non-trivial, and arguably, unsolved problems using machine learning and statistical techniques, with a focus on vehicle telemetry data and video.
Requirements
- Strong experience in Machine Learning, Computer Vision, and/or Signal Processing
- Solid experience with Natural-language processing (NLP)
- Ability to write clean, concise, tested, maintainable code in Python
- Solid production experience with Deep Learning using TensorFlow and/or PyTorch
- Ability to design and implement machine learning pipelines in a production environment
- Experience with public cloud including AWS, Azure, or GCP
- Experience in Agile practices and promoting Agile development techniques such as TDD, BDD and CI/CD
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
- 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
Other
- 5+ years of software engineering, machine learning, data science, or total equivalent experience
- Experience leading engineering teams with positive results
- Ability to establish a clear vision and strategy for the team
- 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
