Limagrain Field Seeds Research (LFSR) is recruiting an Artificial Intelligence (AI) researcher to join the Breeding Methods team within its Data Analytics platform based in Chappes (63), France.

The platform’s goal is to test and develop digital tools for data analysis and decision-making, as well as methods and recommendations to support breeders and supporting functions in creating more efficient varieties at a faster pace. The approaches rely on various fields such as statistics, machine learning, and quantitative genetics.

As an Artificial Intelligence Project Manager, you will contribute to the deployment of AI by developing methods and decision-support tools for research activities related to plant breeding. The scope includes genomic selection/prediction. Traditionally utilizing mixed linear models, genomic prediction forecasts the performance of varieties based on genetic data, significantly enhancing breeding program efficiency.

The objective of this fixed-term contract is to test new deep learning approaches for genomic prediction. Various network types will be tested, developed, or combined and applied to heterogeneous data sources (genomic, environmental, etc.).

You will be supervised by a senior AI researcher within a multidisciplinary and dynamic team tasked with developing innovative breeding support methods.

Your main responsibilities include:

Familiarizing yourself with the principles of genomic prediction.
Conducting a literature review on deep neural networks for genomic prediction.
Proposing one or more genomic prediction methods using neural networks that integrate multiple data types (genotypic, environmental).
Extracting plant breeding data for Limagrain's species of interest.
Implementing these neural networks in Python (using frameworks such as PyTorch, TensorFlow, Keras) for deployment on GPU servers.
Training and testing these networks on plant breeding datasets.
Comparing the networks' performances and recommending an architecture for genomic prediction.
Presenting results through reports and presentations.
Collaborating with experts across various domains.

What we’re looking for:

A PhD (or Master’s degree with 2–3 years of experience) in Artificial Intelligence, Applied Mathematics, Bioinformatics, or a related field.
Previous experience in developing and implementing AI methods.
Excellent knowledge of AI methods, particularly deep learning approaches.
Proficiency in Python, R, or Matlab.
Experience with deep learning frameworks such as PyTorch, TensorFlow, or Keras.
Autonomous, rigorous, and results-oriented.
Strong interpersonal skills with the ability to work effectively in a team.
Capable of thriving in an international, multicultural, and multidisciplinary environment.
Proficiency in written and spoken English.

Joining us means benefiting from:

Performance bonuses.
Profit-sharing bonuses.
Seniority bonuses.
A 214-workday agreement.
Family health insurance.
Supplemental retirement plans.
Employee benefits (works council advantages).
A work-life balance: telecommuting for up to 8 days/month for eligible roles, on-site restaurant, and company nursery.
A thorough onboarding program and regular training opportunities.
Joining Limagrain means integrating an international agricultural cooperative offering career opportunities in France and abroad.

At Limagrain, we value diversity and inclusion as sources of progress and richness for the company.

If you recognize yourself in this profile, don’t wait any longer—join us now to experience the Limagrain adventure!

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Initial screening of applications by our Talent Acquisition Manager.
(A preliminary phone interview may be conducted.)
An interview with the hiring manager and an HR representative.
A second interview may be scheduled.
Finally, shortlisted candidates will receive feedback. Various tests (language, personality, etc.) may also be conducted.

This process is indicative and subject to change based on the role requirements.