Role overview
- Build a thorough understanding of the end-to-end data generation pipeline, from sample preparation to downstream processing.
- Contribute to deploying and adapting our computer vision models to meet field constraints and production requirements.
- Plan data acquisition hand in hand with microbiologists by understanding deeply and taking field constraints into account
- Train, validate, and benchmark machine learning models; perform detailed error analysis to guide improvements.
- Identify bottlenecks and propose enhancements to data workflows to accelerate model development.
- Work in a multi-disciplinary environment, collaborating with R&D engineers, product managers, and clients.
- Learn from experienced team members while bringing fresh perspectives and contributing your own ideas.
Benefits
- A budget for remote work equipment
- A Gymlib subscription for you to stay in shape wherever you are
- Premium health insurance (Alan in France)
- A Swile card for your meals, if you are based in France
- Frequent team events and in-person gatherings every quarter!
- 30-min call with the Hiring Manager
- A technical case study followed by a 45mns debrief with team members
- 1 hour Founders interview
- Reference calls
About the company
Spore.Bio is a deeptech start-up born in 2023, building a new paradigm in the quality control systems in Food&Beverage, Cosmetics, and Pharmaceutics factories.
After spending a lot of time in factories 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 bringing technology and developing a cutting-edge solution, based on advanced optical and deep-learning technologies, to detect bacterial contamination within seconds.
Are you ready to revolutionize microbiology monitoring in factories? Spore Bio is seeking a Junior Data Scientist to contribute to the deployment and adaptation of our computer vision models to real-world operational constraints. Join our dynamic team of R&D experts and product managers, and help us build the future of industrial microbiology.