
Ship In is a maritime technology company that offers Fleet Vision™, an AI-powered platform designed to enhance fleet management by improving safety, operational efficiency, and environmental…

Ship In is a maritime technology company that offers Fleet Vision™, an AI-powered platform designed to enhance fleet management by improving safety, operational efficiency, and environmental…
Product: FleetVision — AI computer-vision platform that analyzes onboard CCTV for safety, security, compliance, and performance insights
Scale: Claims support for 1,500+ vessels and 2.5B+ hours of video analyzed
Impact: Reported up to 40% reduction in onboard incidents and ~60-day platform ROI
Recent funding: Raised $24M Series A (Oct 2022); total funding reported ~$40M
Maritime fleet safety, operational efficiency, and compliance using onboard video analytics.
2018
Maritime Transportation
$24,000,000
Reported Series A announced October 19, 2022 with participation from Munich Re Ventures, Hyperplane, and at.inc/
“Backed by strategic investors including Munich Re Ventures and venture investors such as Zeev Ventures and Hyperplane”
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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 an Applied Computer Vision Researcher, you will develop and improve computer vision models for large-scale maritime CCTV environments, working on real-world video understanding challenges in a domain where production-scale computer vision systems are still relatively uncommon.
You will take part in building new AI capabilities for ShipIn’s FleetVision platform, from early-stage research and experimentation to deployment in production. The role combines applied research with hands-on engineering, and includes working with continuous video streams, challenging environmental conditions, and large-scale operational data.
You’ll work closely with product, data, and engineering teams to turn operational and safety needs into practical, reliable computer vision solutions used by global fleets.
Key Responsibilities
Qualifications
ShipIn is operating on a hybrid model: 2 days in the office.
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