Senior Computer Vision Data Scientist

Spore; Paris; Hybride; EUR 65 000 - 85 000; Plein temps

Résumé du poste

A dynamic deeptech start-up in Paris is seeking a Senior Computer Vision Data Scientist to lead the deployment of computer vision models. This role requires a Master's degree or PhD in a relevant field, along with a minimum of 4 years experience in Computer Vision or Deep Learning. The ideal candidate will join an innovative team focused on revolutionary microbiological monitoring technologies, with opportunities for remote work and a supportive environment for professional growth.

Prestations

Flexible remote work options

Budget for remote work equipment

Gymlib subscription

Premium health insurance (Alan)

Swile card for meals

Frequent team events

Qualifications

• Minimum 4 years of professional experience, with proven track record of deploying models.
• Experience in Computer Vision or Deep Learning.

Responsabilités

• Deploy and adapt computer vision models to meet field constraints.
• Train, validate, and benchmark machine learning models.
• Mentor junior team members and foster growth.

Connaissances

Proficiency with PyTorch

Strong coding fundamentals

Solid understanding of neural network architectures

Experience with data processing tools

Exposure to cloud environments

Formation

Master's degree or PhD in Data Science, Computer Science, Engineering

Outils

Deep Learning frameworks

pandas

FastAPI

Description du poste

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 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 you

Required qualifications/experience:

• 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.

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

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).
• 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.

Soft Skills & Mindset:

• Demonstrated ability to mentor and guide junior data scientists.
• Ability to navigate and contribute in multi‑disciplinary environments, including client‑facing or cross‑functional discussions.
• Proactive, execution‑oriented mindset: you take ownership and make things happen.

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.
• 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!