Software Engineer - Web/ML Dev Ops

Chooch•San Mateo, CA

11h•Remote

About The Position

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.

Requirements

High Proficiency in web development and backend frameworks (e.g., JS, HTML, SQL, Postgres, python etc.)
Strong programming skills in Python
Moderate Experience with image processing and computer vision libraries (e.g., OpenCV)
Familiarity with cloud computing services (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
Experience with software development
Excellent problem-solving and troubleshooting skills
Strong communication and interpersonal skills
Ability to work independently and as part of a team
Comfortability on the command-line
Experience with version control systems such as Git
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Nice To Haves

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.

Responsibilities

Design, develop, and optimize our web analytics services learning models for computer vision applications and key customer stakeholders.
Collaborate with ML engineers to ensure the successful deployment and implementation of computer vision and LLM models.
Implement state-of-the-art computer vision algorithms to improve system accuracy and performance in real-world scenarios.
Work closely within the solutions engineering team to integrate machine learning models into the broader product and systems.
Traveling on site is sometimes needed to work with customers, gather requirements, and ensure the technology is operating as expected.
Regularly evaluate the performance of computer vision models, using both qualitative and quantitative methods, and iterate to enhance accuracy and efficiency.
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.
Collaborate with internal and external stakeholders to understand their needs and translate them into effective technical solutions.
Address and troubleshoot complex problems that arise during the development and deployment of computer vision systems.