Machine Learning Engineer, Waabi

• MS/PhD or Bachelors degree with a minimum of 2 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study
• Solid coding proficiency in a variety of coding languages including Python, C++ or Rust
• Ability to rapidly prototype with test driven development methodologies
• Experience in deep learning frameworks such as PyTorch
• Experience in distributed machine learning training, model deployment and monitoring
• Experience building software solutions on cloud infrastructure
• Open-minded and collaborative team player with willingness to help others
• Passionate about self-driving technologies, solving hard problems, and creating innovative solutions

Desirable

• Contribute and build the self-driving engineering foundations to develop the next generation autonomy software across many machine learning projects
• Collaborate closely with autonomy and algorithm engineers to scale safe self-driving systems using an AI-first approach
• Build standardized frameworks for training and production aligned with industry best practices
• Comprehensively profile model runtime and memory to pinpoint performance bottlenecks
• Identify and evaluate emerging technologies that can be adopted into Waabi’s training and production frameworks, in areas of training and inference optimization (i.e quantization, model compilation and exporting, etc.), distributed training, PyTorch tooling, etc
• Work with AWS Cloud infrastructure to ensure training job stability and efficiency (i.e compute environments, S3 buckets, etc.)