Job Url: https://apply.workable.com/chooch/j/7F32EBD711/

Job Description: Software Engineer - Web/ML Dev Ops
RemoteFull time

San Mateo, California, United States
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Description
Company Description

Chooch helps build and run the best Computer Vision AI applications that make cameras intelligent, enhancing productivity & revenues, while reducing operational costs. Chooch has been named a leading computer vision platform by IDC.

Role Description

We are looking for a Software Engineer (US-based) to join our team. This is a full-time remote role. The Software Engineer will be responsible for the successful development, implementation, management, and backbone behind our Computer Vision AI web systems and analytics. This includes JS, HTML, backend data, for deploying functional web applications for healthcare, manufacturing, and retail customers. This role requires frequent interaction with technical and non-technical customers while working closely within our solutions engineering teams. This role has immense opportunity to grow, lead technical projects, and improve current processes while providing meaningful feedback to our product and solutions teams.

Key Responsibilities

Web Development and Implementation: Design, develop, and optimize our web analytics services learning models for computer vision applications and key customer stakeholders.
Data Management: Collaborate with ML engineers to ensure the successful deployment and implementation of computer vision and LLM models.
Algorithm Implementation: Implement state-of-the-art computer vision algorithms to improve system accuracy and performance in real-world scenarios.
Cross-Functional Collaboration: Work closely within the solutions engineering team to integrate machine learning models into the broader product and systems.
On-Site Travel and Field Testing: Many of our projects are live deployments with major fortune 500 customers – testing new, innovative ML technologies. Traveling on site is sometimes needed to work with customers, gather requirements, and ensure the technology is operating as expected.
Performance Evaluation: Regularly evaluate the performance of computer vision models, using both qualitative and quantitative methods, and iterate to enhance accuracy and efficiency.
Research and Innovation: Understanding of the latest developments in web, backend, and working with our ML team to understand the necessary components to implement machine learning and computer vision, applying innovative approaches and technologies to solve complex challenges.
Stakeholder Engagement: Collaborate with internal and external stakeholders to understand their needs and translate them into effective technical solutions.
Problem-Solving: Address and troubleshoot complex problems that arise during the development and deployment of computer vision systems.
The ideal candidate should be deeply passionate about web development, AI, and its real-world applications, particularly in improving and leveraging state-of-the-art neural networks to make an impact.