Machine Learning Engineer

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 resources 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 Deep Learning – Computer Vision
• Solid production experience using Python (including NumPy) and SQL
• Solid production experience using TensorFlow and/or PyTorch
• Production experience with Apache Spark
• Experience implementing solutions for video and image segmentation, object detection and tracking, and/or semantic/instance segmentation
• Strong fundamentals in problem solving, algorithm design and complexity analysis
• Experience implementing and orchestrating Machine Learning pipelines in production environments, using tools such as Kubeflow, airflow, Pachyderm, mlflow, etc.
• Hands-on experience with web APIs, containers, Kubernetes, CI/CD and testing
• Experience from working in Agile Scrum environments
• Experience implementing solutions in a cloud environment (AWS, Azure, or Google Cloud)
• Experience using Infrastructure-as-code for cloud infrastructure automation
• Experience working with data science in automotive telematics data and video is a plus
• Experience in edge computing is a plus