DEEP LEARNING SCIENTIST

Company Overview We believe in a more responsible way of flying. Our purpose is to help aerospace companies reduce their climate impact. We have looked at all options: new generation aircraft, contrail mitigation, sustainable aviation fuel, electric airplanes… all will have a role to play and we are here to help companies navigate those options with data.

Our co-founders have experience at Airbus, MIT, Preligens & Aéroports de Paris. Our passion for aviation grounds our determination to improve the environmental impact of the sector.

Job Description

Deep Learning - build killer deep-learning algorithms

Develop Deep Learning algorithms, notably to analyze contrails and their climate impacts on satellite images (MTG, GOES, LEO)

Prototype, iterate, and deploy models to cloud platforms, ensuring scalability and real-world applicability.

Lead data-science project as part of our product roadmap

Over time, take ownership of end-to-end data projects, from pipeline development to product integration.

Support our research team to push boundaries of climate modelling

Impact - drive customers to mitigate their climate impact

Operations: work closely with customers & deliver data to support decision making on sustainability

Aviation sustainability ambassador - spread the word

Support the sales team effort at tradeshows or when drafting technical propositions

Attend technical sessions with external stakeholders to present your work

Communicate and educate our community on the best ways to reduce the impact of the sector, be a mastermind at bringing complex climate science to the many

Preferred Experience

4+ years of experience as a Deep Learning Scientist, ideally in aerospace, aviation, or academia.

Expertise in computer vision, especially satellite imagery analysis and geospatial data, using PyTorch/TensorFlow.

MLOps experience: Building automated pipelines and deploying models at scale.

Strong Python and SQL skills, with experience in Pandas, efficient coding, and cloud deployment (GCP, AWS, Docker, FastAPI, BigQuery).

Interest in full-stack data science: Experience or curiosity in data engineering, backend development, or building data products is a plus.

Candidate should be curious, autonomous and a reliable team player with interest for aviation, sustainability & impact

Fluent in french is a plus but not necessary, we speak day to day in english

Estuaire is an equal opportunity employer and makes employment decisions on the basis of merit. All qualified applicants will receive consideration for employment without regard to race, age, religion, gender, sexual orientation, origin, disability.

Additional Information

Contract Type: Full-Time

Start Date: 01 December 2025

Location: Paris

Education Level: Master's Degree

Experience: > 4 years

Occasional remote authorized

Salary: between 40000€ and 80000€ / year

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