ML Internship
About us Spore.Bio is a deeptech startup born in 2023, building a new paradigm in quality control systems for Food & Beverage, Cosmetics, and Pharmaceutical factories. After spending a lot of time in factory environments, we saw the pain it was to make sure products were safe. Traditional quality control has heavy constraints and long waiting times. To chan…
Datos sobre Spore Biotechnologies
- Sector
- Salud, farmacia y biotecnología
- Tipo de empresa
- Financiada con capital riesgo
- Fase
- Startup early-stage
- Sede
- Boulogne-Billancourt
- Dominio oficial
- spore.bio
- Fundación
- 2023 · 3 años
- Plantilla publicada
- 91 empleados
- Última ronda
- Early stage · 2026-01-01
- Ofertas abiertas
- 11
Inversores mencionados
Detalles de la oferta
La descripción completa publicada por Spore Biotechnologies.
About us
Spore.Bio is a deeptech startup born in 2023, building a new paradigm in quality control systems for Food & Beverage, Cosmetics, and Pharmaceutical factories. After spending a lot of time in factory environments, we saw the pain it was to make sure products were safe. Traditional quality control has heavy constraints and long waiting times. To change that, we decided to build Spore.Bio , a new generation of microbiological testing.
Our team is dedicated to developing a cutting-edge solution, based on advanced photonic and deep-learning technologies, to detect bacterial contamination within minutes.
What You Will Do
At Spore.Bio , we are seeking a dynamic and motivated ML intern. We are building our own optical hardware, data produced by this hardware is then analysed by our computer vision algorithms to detect bacteria in real-time. We are looking for passionate individuals to join our team and help us shape the future of microbiology! This is an exciting opportunity to be part of our cutting-edge project, collaborating closely with our interdisciplinary teams and making a meaningful impact in various industries.
- Model Development: Assist in shipping models to production and improve their performances by monitoring and identifying recurrent errors in the predictions
- Exploratory Projects: Work on exploratory projects to solve technological challenges.
- Data Quality Management: Ensure the highest quality of data at the input of our models by keeping track of data sources.
- Interdisciplinary Collaboration: Collaborate with experts in microbiology and optics to integrate domain knowledge into our machine learning solutions.
About you
We believe in the continuous learning and growth of each team member. Therefore, while specific skills and experiences are valuable, we also value the willingness and eagerness to learn and adapt.
- Education: Currently pursuing an Engineering degree, Master's degree or equivalent in Computer Science, Data Science, or a related field (M2 level).
- Technical
Skills
Familiarity with machine learning, deep learning, and computer vision techniques. Experience with frameworks such as PyTorch, or OpenCV is a plus. - Programming
Skills
Proficiency in Python programming language.
- Analytical Thinking: Strong analytical skills and the ability to approach problems in a structured and logical manner.
- Autonomous Problem-Solving: Exhibit the ability to work autonomously and make informed decisions. Your proactive nature will be crucial in driving projects forward and achieving meaningful outcomes. If you're passionate about the intersection of Machine Learning, Deep Learning, and Computer Vision and want to be part of a dynamic and innovative team, apply now and let's make a difference together! Learn more about us on our website and join us on this incredible journey!
What we offer
Gymlib subscription to stay in shape wherever you are.
- Swile card for your meals, if you are based in France.
- Location: Paris, on-site. Our
Recruitment Process
- Intro call: a first conversation with a member of the ML team
- Technical fit: a live session of technical questions and hands-on case studies
- On-site visit: come meet us at the office and speak with one of our founders
Lugar de trabajo
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