Software Engineer - Computer Vision

Verkada • San Mateo, CA

15d • $180,000 - $300,000 • Onsite

About The Position

At the forefront of innovation, the Computer Vision team develops the artificial intelligence and machine learning models that power Verkada's advanced analytics. Their responsibilities include creating and refining algorithms for features such as people and vehicle detection, license plate recognition, and other intelligent video analysis tools. Recent projects for this role include:
Implementing and deploying a binary classifier using TensorFlow for detecting the binary states across millions of cameras
Detecting unusual object addition/removal in a scene
Detecting and counting object and people frequencies
Training text image embedding models and vision language models
Training license plate recognition models and implementing LPR on the edge
Training facial recognition models and implementing real-time facial recognition

Requirements

• Bachelor's Degree in Computer Science, preferably with research experience
• 1-3 years of industry software engineering experience
• 1+ years of work or research experience with current neural net frameworks
• Mastery of at least one practical programming language
• Experience working in an agile team software development environment
• Must be willing and able to work onsite five days per week

Responsibilities

• Writing clean, modular, C++ code
• Developing traditional computer vision algorithms
• Training deep learning networks using PyTorch, TensorFlow, Keras, or similar
• Working with data structures and architecture

Benefits

• Nationwide medical, vision and dental coverage
• Health Saving Account (HSA) with annual employer contributions
• Flexible Spending Account (FSA) with tax saving options
• Expanded mental health support
• Paid parental leave policy
• Fertility benefits
• Fertility Stipend
• Paid holidays
• Firmwide extended holidays
• Flexible PTO
• Personal sick time
• Professional development stipend
• Wellness/fitness benefits
• Healthy lunches provided daily
• Commuter benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level