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Computer Vision Engineer // Hybrid // Los Angeles
Salary undisclosed
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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.
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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