Deep Learning Researcher

At Spore.Bio, we’re reinventing how microbiology is done in industrial and clinical settings. After months spent inside factories and labs, we saw firsthand how slow and constrained traditional microbiological workflows still are. So we built a new paradigm using advanced optics and deep learning to deliver results in seconds instead of days.

Today, we’re taking this mission a step further.

We created

Spore.Labs , our

fundamental research division

dedicated to one of the biggest global health challenges starting with

antimicrobial resistance (AMR) . With the support of the

Google.org AI for Science Initiative , Spore.Labs is launching an open-source program to reduce AMR diagnostic time from days to minutes enabling rapid identification of resistance genes and promoting targeted, responsible antibiotic use.

And now, we’re entering the next chapter.

We’re building a team of exceptional

researchers ,

engineers , and

scientists

who will bring this project out of stealth mode and push the boundaries of

biophotonics ,

genomics , and

AI . If you want to work at the frontier of

AMR research , help shape open scientific infrastructure, and contribute to a global effort backed by

Google , we’d love to meet you.

About the role As a

Deep Learning Scientist specialized in Computer Vision , you will design and implement state-of-the-art models to extract and interpret complex patterns from biophotonic and microscopic data.

You will collaborate closely with microbiologists and physicists to translate optical signals and biological phenomena into actionable insights through AI.

Main Responsibilities

Develop, train, and optimize

deep learning models

(CNNs, Vision Transformers, self-supervised and generative approaches) for the analysis of biological and optical imaging data.

Implement

state-of-the-art methods

from the latest literature and adapt them to real-world biomedical contexts.

Translate research concepts into

robust, scalable, and interpretable models

ready for translational deployment.

Collaborate with the biophotonics and microbiology teams to

design experiments , define learning objectives, and validate biological relevance.

Contribute to

scientific publications, conferences, and patents

showcasing advances at the intersection of AI and microbiology.

About you Required qualifications/ experience :

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

Strong foundations in

Deep Learning theory

and model architectures (CNNs, ViTs, Diffusion models, etc.).

PhD +5 years of experience in

Computer Vision

(segmentation, detection, contrastive or self-supervised learning).

Experience in

translational research

— bringing AI from proof-of-concept to real-world biomedical use.

Mastery of

PyTorch

and associated ecosystems (Lightning, TorchVision, HuggingFace).

Proven experience in defining an ambitious research project and building a team of high-level contributors

Familiarity with

data preprocessing pipelines , model interpretability, and performance evaluation.

(Bonus) Experience with

clean code , testing, and deployment best practices (MLOps mindset).

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 1 hour technical case study followed by a debrief with team members

45-min personality interview with two 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!

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