Waabi is hiring a
Senior Machine Learning Engineer

Summary

The job description is for a self-driving engineering position at Waabi, an AI company. The role involves contributing to the development of next-generation autonomy software and working with a multidisciplinary team. The qualifications required include a degree in Computer Science or similar field, coding proficiency in Python or C++, experience in machine learning, and several other technical skills.

Requirements

• MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study
• Solid coding proficiency in Python or C++
• Experience in software architecture, system performance, latency and data flow
• Experience in Machine Learning
• Understanding of parallel machine learning training and model deployment (e.g., TensorRT conversion)
• Ability to productionize machine learning models
• Experience building software solutions on cloud infrastructure
• Ability to rapidly prototype and test new algorithms
• Solid problem solving skills using linear algebra, geometry, statistics & probability
• Open-minded and collaborative team player with willingness to help others
• Passionate about self-driving technologies, solving hard problems, and creating innovative solutions

Responsibilities

• Contribute and build the self-driving engineering foundations to develop the next generation autonomy software across several machine learning projects
• Be part of a team of multidisciplinary Engineers and Researchers using an AI-first approach to enable safe self-driving at scale
• Implement and improve machine learning training and inference pipelines
• Make iterations on the models for improvements
• Identify, propose and build infrastructure, data and computation pipelines, data storage strategies, common libraries and useful tools needed to optimize research and development of deep-learning models

Preferred Qualifications

• Experience designing and implementing tools for automated model tuning and hyper-parameter optimization, as well as experiment analysis
• Experience in Deep learning frameworks such as PyTorch and TensorFlow
• Experience with automated testing
• Experience working in an Agile/Scrum environment

Benefits

• Competitive compensation and equity awards
• Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only)
• Unlimited Vacation
• Flexible hours and Work from Home support
• Daily drinks, snacks and catered meals (when in office)
• Regularly scheduled team building activities and social events both on-site, off-site & virtually