About us

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 Senior Computer Vision Data Scientist - New Microbiological Assays to lead the research, development, and deployment 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

• Lead computer vision models for new microbiological assays discovery, improvement and certification.

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

• Design and conduct experiments to validate new approaches and architectures for improving model accuracy and robustness.

• Deploy and adapt computer vision models to meet field constraints and production requirements.

• Define and scope data acquisition strategies to improve model training and generalization, including experimental design and data collection protocols.

• Train, validate, and benchmark machine learning models; perform detailed error analysis and ablation studies to guide improvements.

• Identify bottlenecks and propose novel solutions to data workflows and model architectures to accelerate development.

• Work in a multi-disciplinary environment, collaborating with optical engineers, microbiologists, R&D engineers, product managers, and clients.

• Stay at the forefront of computer vision research, exploring and implementing state-of-the-art techniques relevant to our domain.

About you

Required qualifications/experience:

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

• Education & Background: PhD in Data Science, Computer Science, Engineering, or related field, OR Master's degree with 5+ years of research-focused experience

• Research experience in Computer Vision and/or Deep Learning, with publications or demonstrated contributions to advancing the field

Technical Skills:

• Expert proficiency with PyTorch or similar deep learning frameworks

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

• Strong experimental methodology: design of experiments, statistical analysis, ablation studies, and rigorous evaluation protocols

• Experience deploying ML models in production environments and handling operational constraints

• Familiarity with data processing and backend tools (e.g. pandas, FastAPI)

• Exposure to cloud environments (AWS, GCP, or Azure) is a plus

• Strong coding fundamentals and clean code practices

• Experience with research tools and practices: version control, experiment tracking (W&B, MLflow), reproducible research

Soft Skills & Mindset:

• Research mindset: ability to formulate hypotheses, design experiments, and iterate based on findings

• Ability to navigate and contribute in multi-disciplinary environments, including client-facing or cross-functional discussions

• Strong communication skills: ability to present complex research findings to both technical and non-technical audiences

• Proactive, execution-oriented mindset: you balance exploration with delivery, taking ownership of both research and implementation

We don't expect you to know everything from day one. What matters most is your curiosity, drive to learn, and willingness to dive into challenges.

Why joining us?

• Work in an innovative and rapidly growing startup.

• Lead cutting-edge research at the intersection of optics, biology, and AI.

• Participate in exciting and impactful projects with real-world applications.

• Evolve in a collaborative and stimulating work environment.

• Opportunities for professional development and continuous training.

• Contribute to publications and patents as we advance the field.

What we offer

We believe that flexibility and trust are important parts of a company. Our work environment reflects this thanks to:

Flexible remote: If you live in Paris, you can work from our office or from your place with no constraints.

On top of that, we offer many perks such as:

• 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!

Recruitment process

• 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

You might also be invited to meet other team members at the office for a lab visit and a coffee!

This is a unique opportunity for someone who thrives on curiosity and has a genuine passion for technology. If you enjoy taking on challenges and solving complex problems, this role will provide the perfect environment for growth and impact. The ideal candidate is someone who is self-driven, eager to learn, and excited to contribute to shaping the future of microbiology monitoring. Join our innovative and dynamic team, and let's make a difference together! We look forward to meeting you!