DEEP LEARNING SCIENTIST

Be among the first 25 applicants. About 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. Would you like to work within an early stage company where much remains to be built, get exposure to an amazing network of aerospace individuals with a genuine drive to make a difference? Job Description You will start as a Deep Learning Scientist within our technical team, with the opportunity to expand your scope into full‑stack data science as you grow with us. Responsibilities Deep Learning – build killer deep‑learning algorithms Develop deep‑learning algorithms 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 projects 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 and deliver data to support decision making on sustainability. Aviation sustainability ambassador – spread the word Support the sales team 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. "This cannot work" is a sentence you use very carefully. Recruitment Process A first interview with a data scientist (30 min). Get‑to‑know and discussion about experience, motivation and interests – a short technical challenge "e.g. how does an airplane fly?" A second interview with a member of the tech team (30 min). Presentation of technical challenge and discussion of case. A third interview with the co‑founders (1 h). Skill assessments and aligning expectations. Opportunity to get answers to your remaining questions. 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 40 000 € and 80 000 € per year 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. #J-18808-Ljbffr