Deep Learning Scientist – Downers Grove, Illinois


Job Overview


About Syngenta

Syngentais a global leader in agriculture; rooted in science and dedicated to bringingplant potential to life. Each of our 28,000 employees in more than 90 countrieswork together to solve one of humanity’s most pressing challenges: growing morefood with fewer resources. A diverse workforce and an inclusive workplaceenvironment are enablers of our ambition to be the most collaborative andtrusted team in agriculture. Our employees reflect the diversity of ourcustomers, the markets where we operate and the communities which we serve. Nomatter what your position, you will have a vital role in safely feeding theworld and taking care of our planet. Join us and help shape the future ofagriculture.

AtSyngenta, we are working to build the most collaborative and trusted team inagriculture that provides leading seeds innovations to enhance the prosperityof farmers. We are seeking an applied scientist with a passion for utilizingrigorous machine learning approaches to help transform our Seeds productdevelopment pipeline through enhanced analytics. As a Deep Learning (DL) Scientist you willwork collaboratively on complex problems using machine learning to provide autonomous solutions, improvedecision making and simplify our processes.


  • Playa major role in defining, designing, experimenting and evaluatingproduct-focused AI solutions utilizing machine learning methods, deep learning,computer vision and natural language processing
  • Modelcomplex problems, discover insights, and identify opportunities via the use ofstatistical, algorithmic, and visualization techniques
  • Learnand understand the Seeds Development pipeline and operations, associated dataand key decisions in order to recognize opportunities for enhancing ourdevelopment pipeline
  • Createprototypes to address needs and enhance fundamental decision-making
  • Evaluatealgorithm performance—validate findings using a trial and iterative approachand effectively communicate findings
  • Identifydata needs; efficiently process, clean and verify the integrity of data usedfor analyses
  • Researchand apply the latest Artificial Intelligence methodologies to address SeedsDevelopment challenges
  • Networkand collaboratively work with seeds development, analytics and data scienceexperts, IT and product managers to build and incorporate AI-based capabilitiesinto solutions and offerings that are deployed globally
  • Workwith Seeds Research and Development stakeholders in communicating analyticalresults to develop enhancement opportunities, share key learnings andcontribute to technical training offerings to support implementation ofinnovative approaches
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