Will prototype, design, and implement predictive models and algorithms
They will lead the full life cycle including data cleansing, feature creation, and iterative model selection
They will write maintainable and extensible tested code that adheres to standards, produce specifications, and determine operation feasibility, and troubleshoot, debug, and upgrade existing systems

RESPONSIBILITIES:

Use statistical and machine learning techniques to create scalable solutions for vehicle telemetry data and video analysis, and perform R&D to drive discovery of new generation mobility products
Establish scalable, efficient, automated processes for large-scale data analysis, model development, model validation and model implementation
Drive adoption of best practices across organizations
Deliver production-ready code
Work with Product Owners to define the KPIs for machine learning projects
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
Prepare and present findings to both technical and non-technical audiences
Work within the constraints of time, budget, and resource capacities to align with Toyota's global vision
Develop and foster collaborative relationships with product, business, and engineering teams to effectively serve our customer needs

QUALIFICATIONS:

5 years of production experience working in Data Science or Software Engineering
3 years of production experience in Machine Learning, Computer Vision, Signal Processing, and/or Natural Language Processing (NLP)
Ability to write clean, concise, tested, maintainable code in Python
Solid production experience using Python (including NumPy) and SQL
Production experience with Apache Spark
Strong fundamentals in problem solving, algorithm design, and complexity analysis
Experience implementing Machine Learning pipelines in production environments
Experience with deployment including knowledge of CI/CD, containerization, and related concepts is a plus
Experience working in a team-oriented, Agile software engineering environment
Experience implementing solutions in a cloud environment (AWS, Azure, or Google Cloud) is a plus
Experience working with data science in automotive telematics data and video is a plus
Production experience in using TensorFlow and/or PyTorch is a plus
Experience in edge computing is a plus

Sr Machine Learning Engineer

Senior Application Architect