Sr Machine Learning Engineer

• 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