Computer Vision Engineer // Hybrid // Los Angeles

Company background:

Supported by a prominent start-up incubator and a global technology firm, this company has pioneered an innovative solution leveraging machine learning and computer vision technologies. With a focus on transforming safety practices across industries, their mission is to shift from reactive to proactive strategies. By integrating highly accurate, real-time platforms with advanced technology, they aim to enhance operational efficiency and safety.

Responsibilities and Duties

• Software Development: Design and maintain applications for computer vision and artificial intelligence.
• Collaboration: Partner with field engineers to test and troubleshoot systems, ensuring optimal performance.
• Code Maintenance: Refactor and improve existing code to boost functionality and efficiency.
• Prototyping: Lead rapid prototyping (Proof of Concept) and merge software with hardware solutions.
• Requirements Analysis: Perform requirements analysis, architecture development, and software design to align with project goals.

Minimum requirements:

• Education: Bachelor’s degree in Computer Science, Engineering, or a related field; advanced degrees preferred.
• Academic Background: Strong foundation in computer science concepts, including algorithms, data structures, and design patterns.
• Experience: 8+ years of experience in computer vision and machine learning, with proven leadership in product development or R&D projects.
• Programming Skills: Expertise in Python and object-oriented programming.
• Technical Proficiency: Experience with AWS, Git, and Docker.
• Operating Systems: Proficiency with Linux OS.
• Networking Knowledge: Familiarity with parallel computing and TCP/IP networking.

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.