Senior Machine Learning Engineer, Zendar

• 3+ years of experience in developing ML and deep neural network systems, including model design, experiment setup, model test and evaluation
• Proficiency in modern Python and C++
• 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
• Proficient in Pytorch
• 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 member of the machine learning team, bridging our two technologies together. Our ML team is located in Berkeley, CA. You will be the first ML hire in our Paris office with the big potential for growth. This role is perfect for an ML engineer who enjoys working on all levels of the ML and perception pipeline design including model design, data collection and preprocessing, model test and evaluation
• You will work closely with our signal processing team in Paris to understand DAR technology and adopt our semantic spectrum technology to the DAR system. You will also work closely with our product team and external partners to bring our solution to market

• Applied
• Review
• Hiring manager Screen
• Technical Interview
• Onsite

• Performance-Based Bonus
• Medical, Dental, and Vision Insurance
• Unlimited PTO
• Equity
• Hybrid Work Model
• Daily Catered Lunch & Stocked Fridge

Total funding: $26.8m

Radar technology presents a promising solution for autonomous vehicles and robots to see the obstacles around them. Yet, existing sensors are too low-resolution and struggle under challenging conditions. Solutions are beginning to arise for self-driving cars, but tackling challenges for fully autonomous robotics is significantly more difficult.