Machine Learning Engineer - Internship
OceanWings designs, manufactures and markets semi-rigid and rigid wingsails designed for installation on cargo ships, helping to reduce CO2 emissions by cutting fossil fuel consumption.
About OceanWings
OceanWings’ mission is to provide the Shipping Industry with the most efficient Wind Assisted Propulsion Systems, enabling them to reduce emissions, lower operational costs, and protect the long-term value of their investments. By making innovative technology accessible, OceanWings aims to become a global leader in the decarbonization of shipping, helping steer the industry towards wind energy as the most scalable and ready solution for a sustainable future.
Context
Within the Software Team, OceanWings is offering a Machine Learning Engineer internship (end-of-studies level) focused on artificial intelligence applied to the OceanWings® wind propulsion system.
You will contribute to the modeling, prediction, and optimization of wing performance through data-driven and hybrid (physics + AI) approaches.
Main Missions
Your missions will include the following:
Technical Discovery & Collaboration
Discover the OceanWings® technology and understand the challenges related to wing performance modeling.
Collaborate closely with the performance team to explore data and review relevant scientific literature.
Research & Development
Work on one or more focus areas:
Develop time series forecasting models for wing performance prediction.
Enhance vessel performance analysis using machine learning methods.
Improve physics-based simulations with ML-enhanced models.
Optimize data pipelines and ensure the robustness of model integration and monitoring.
Document methodologies, model architectures, and technical choices.
Profile & Skills
Education: 5-year engineering degree (Master’s level) with a specialization in Artificial Intelligence or Machine Learning.
Experience: Hands-on experience developing end-to-end AI projects.
Technical skills:
Strong proficiency in Python and ML frameworks such as scikit-learn, PyTorch, or TensorFlow.
Solid understanding of supervised and unsupervised learning methods.
Capacity to explore and apply state-of-the-art ML approaches.
Mindset:
Analytical, rigorous, and organized.
Autonomous, curious, and eager to learn.
Team-oriented and collaborative.
Languages: Fluent in English for technical and collaborative exchanges.
Bonus Skills:
Sailing or maritime experience.
Knowledge of Physics-Informed Neural Networks (PINNs) or Physics-Informed Machine Learning (PIML) — a strong plus but not mandatory.
What We Offer
Ownership of end-to-end R&D projects with real and measurable impact.
Exposure to concrete AI applications in an innovative maritime context.
A collaborative technical environment working alongside experienced engineers.
Tangible deliverables you can showcase at the end of your internship.
A direct contribution to the energy transition of maritime transport.
A dynamic and pioneering startup culture, with a passionate team and regular social activities (foosball, afterworks, climbing, spikeball, and more).
Conditions
Contract: 6-month internship
Location: Paris, with occasional travel to the industrial site in Blainville-sur-Orne
Working at OceanWings means...
Driving the future of sustainable maritime transport through innovative wind propulsion and smart technologies.
Growing within a multidisciplinary, forward-thinking environment where ideas become real impact.
- Team
 - Software
 - Locations
 - OceanWings Paris
 
About OceanWings
OceanWings’ mission is to provide the Shipping Industry with the most efficient Wind Assisted Propulsion Systems, enabling them to reduce emissions, lower operational costs, and protect the long-term value of their investments. By making innovative technology accessible, OceanWings aims to become a global leader in the decarbonization of shipping, helping steer the industry towards wind energy as the most scalable and ready solution for a sustainable future.
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