What are the responsibilities and job description for the Machine Learning Engineer position at Zendar?
Job Description
Job Description
Description
Are you eager to push the boundaries of what is possible with radar? Would you enjoy working on large-scale, production-grade automotive perception with multi-sensor fusion? At Zendar, we have developed a robust infrastructure to collect and process millions of multi-sensor data points from diverse locations worldwide. We believe radar can achieve generalization with a fraction of the data and processing power required by camera-based perception models.
Classical point cloud based interface has been the main bottleneck of what is possible to achieve with radar in the automotive industry. At Zendar we have pushed the boundaries of what is possible to sense with radar by effectively utilizing RF spectrum. Zendar has pioneered software-defined radar technology which fuses data streams from multiple sensors to deliver lidar-like angular resolution using simple, cheap radars. We have built an end-to-end ML perception stack that senses the environment based on raw radar data breaking the multi decade-old point cloud interface bottleneck. We are looking to add another member to our growing machine learning team.
Who You Are
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. 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. As a machine learning engineer, you will also be responsible for working with the product team to evaluate and improve our ML solutions.
What We Look For
- 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.
Bonus Points :
What We Offer
Zendar is committed to creating a diverse environment where talented people come to do their
best work. We are proud to be an equal opportunity employer. All qualified applicants will
receive consideration for employment without regard to race, color, religion, gender, gender
identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran
status.
FOR US : Zendar participates in E-Verify
Salary : $145,000 - $190,000
