Senior Computer Vision Data Scientist

About us

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 , 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 Senior Computer Vision Data Scientist to lead 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.

About the role

• Build a thorough understanding of the end-to-end data generation pipeline, from sample preparation to downstream processing.

• Deploy and adapt 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

• Define and scope data acquisition needs to improve model training and generalization.

• 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.

• Mentor and guide junior team members, fostering technical growth and best practices.

About youRequired qualifications/experience:

We value curiosity, initiative, and a growth mindset. Not every box needs to be ticked to apply.

• Education & Background: Master's degree or PhD in Data Science, Computer Science, Engineering, or a related field

• Experience (professional or academic) in Computer Vision and/or Deep Learning

• Minimum 4+ years of professional experience, with proven track record of deploying models to production

Technical Skills:

• Proficiency with PyTorch or similar deep learning frameworks

• Solid understanding of modern neural network architectures for vision tasks (e.g. Vision Transformers, segmentation networks, CycleGANs)