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 Machine Learning Engineer to develop our cutting-edge data science solution. Join our dynamic team of R&D experts and product managers, and help us build the future of industrial microbiology.

About the role

• Design, implement, and maintain clean, testable, and scalable code architectures for machine learning pipelines.
• Own the full training and validation pipeline, including dataset handling, reproducibility, and robust training infrastructure setup.
• Contribute to the deployment of machine learning models; ensure models perform reliably and efficiently in production environments.
• Collaborate closely with cross-functional teams (Microbiology, Optics, Software Engineering) to align ML workflows with broader product and research processes.

About you

Required qualifications/ experience :

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

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field.
• 2–4 years of hands-on experience developing and deploying computer vision or deep learning models.
• Proficiency with Python, including experience using PyTorch for model development.
• Experience building and maintaining APIs with FastAPI.
• Solid software engineering practices: version control, modular design, thorough testing, and refactoring.
• Experience with Docker; familiarity with Kubernetes for container orchestration.
• Exposure to cloud infrastructure (AWS preferred; GCP or Azure also valued).
• Ability to work effectively with multidisciplinary teams (e.g., biology, optics, ML).
• Familiarity with SQL and relational databases.

Preferred Qualifications:

• Experience designing scalable, production-grade ML pipelines.
• Prior work on performance optimization and efficient model deployment.
  
• High ownership and initiative; able to drive projects independently in ambiguous environments.

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.
• Participate in exciting and impactful projects.
• Evolve in a collaborative and stimulating work environment.
• Opportunities for professional development and continuous training.

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
• 45-min personality interview with two team members
• A 1 hour technical case study followed by a 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!