Machine Learning Engineer, Zendar

• This role is perfect for a machine learning and perception engineer who enjoys working on all levels of the machine learning and perception pipeline design including model design, optimization, data preprocessing, model training and evaluation
• Experience in developing ML and deep neural network systems, including model design, experiment setup, model test and evaluation
• Proficient in Pytorch
• Proficiency in Python
• Expertise on applying machine learning to perception problems such as segmentation, object detection and tracking
• Deep understanding of challenges in machine learning pipeline design such as data collection and processing, model test and evaluation
• Familiarity with professional software development tools, such as source control (git), unit testing, and profiling
• Strong communication skills and proven ability to collaborate effectively across functions

Desirable

• In this role, you will be a core member of the machine learning and perception team in Berkeley, CA, collaborating with experts in the field to shape the future of our ML and perception stack
• In this position, you will have significant ownership over the design and implementation of our machine learning and perception pipeline
• As a machine learning engineer, you will also be responsible for working with the product team to evaluate and improve our ML solutions

• Applied
• Review
• Hiring Manager Screen
• Technical Interview
• Technical Interview 2
• Onsite