ShipIn - Senior Computer Vision Engineer

About ShipIn

ShipIn Systems is redefining how the maritime industry understands, manages, and reduces operational risk. Our AI-powered visual fleet intelligence platform connects onboard video with shore-based teams, turning everyday vessel operations into actionable insight that helps prevent incidents before they escalate.

We work with many of the world’s leading shipowners and operators to bring greater visibility, accountability, and learning into daily operations at sea. The result is safer crews, stronger performance, and smarter decision-making across global fleets.

If you’re drawn to complex, real-world industries and want to build technology that changes behavior and improves safety at scale, join us.

About the Role

As a Computer Vision Engineer, you will lead the development and continuous improvement of our state-of-the-art AI models powering the FleetVision platform. You will take end-to-end ownership of model development, translating clear business and safety requirements into robust, production-grade computer vision solutions using cutting-edge technology.

You will play a key role in shaping our computer vision roadmap, improving detection accuracy, reliability, and scalability across large-scale maritime CCTV deployments.

Key Responsibilities

• Lead the end-to-end development lifecycle of computer vision solutions, from problem definition and data collection through research, training, evaluation, deployment, and ongoing monitoring.
• Design, implement, and iterate on advanced computer vision and deep learning models tailored to real-world maritime environments.
• Work closely with cross-functional teams, including product, data, and platform engineers, to deliver impactful, production-ready solutions to complex maritime safety and operational challenges.
• Own model quality in production, including validation strategies, performance analysis, failure investigation, and continuous improvement.
• Stay current with relevant research and translate state-of-the-art methods into practical, scalable systems.

Qualifications

7+ years of hands-on experience in Computer Vision and/or Deep Learning, with a proven track record of taking models from POC to production.

Experience working with CCTV or video-based datasets is required.

Master’s degree in Computer Science, Engineering, or a related technical field.

Strong proficiency in Python, with the ability to write clean, maintainable, and scalable code for large, long-lived projects.

Deep expertise in PyTorch and solid experience with OpenCV and other computer vision libraries.

Strong mathematical foundation and the ability to read, understand, and critically evaluate research papers and algorithms.

Bonus if you have experience deploying and optimizing models on edge devices or resource-constrained environments.