Job Location: Downers Grove, IL
About Syngenta
Syngenta is a global leader in agriculture; rooted in science and dedicated to bringing plant potential to life. Each of our 28,000 employees in more than 90 countries work together to solve one of humanity’s most pressing challenges: growing more food with fewer resources. A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture. Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. No matter what your position, you will have a vital role in safely feeding the world and taking care of our planet. Join us and help shape the future of agriculture.
About Us
Syngenta Digital is changing the agriculture industry and we want you to be part of that. Digital innovations, data and new technologies will transform the way that crops are managed in the future and enable farmers and agronomists to enhance efficiency and sustainable food production. You will help to develop solutions that turns data into meaningful information and ultimately helps to grow more food with fewer resources.
This position has the option to be remote for candidates in the Mid-West or Eastern United States, or Europe.
The Syngenta Analytics and Data Sciences team is seeking a Deep Learning Scientist with a passion for defining, designing, experimenting, and evaluating product-focused solutions and for delivering business insights by utilizing data mining, machine learning and deep learning methods, computer vision, and natural language processing. As a Deep Learning Scientist, you will be part of a dynamic team that supports Research and Development objectives to transform our business. In this role you will help transform digital agriculture by:
- Utilizing rigorous image analytics and data science approaches to help transform our Seeds product development pipeline to deliver maximum value to our growers and sustainability to agriculture.
- Drive and develop new image & video analytics algorithms, computer vision (CV) procedures that include image processing, machine learning and deep learning-based approaches for trait extraction from remote sensing systems (UAV, satellites) and other sensing modalities.
Accountabilities
- Identify viable image analytics and data science opportunities and test, develop, validate, and implement end-to end analytical solutions
- Create prototypes to address needs and enhance fundamental decision-making
- Research and apply the latest machine learning and deep learning methodologies to address Seeds Development challenges
- Evaluate algorithm performance—validate findings using a trial and iterative approach and effectively communicate findings to technical and non-technical audiences
- Identify data needs and provide recommendations; efficiently process, clean, and verify the integrity of data used for analyses
- Support implementation of digital phenotyping strategies and projects through implementation and deployment of computer vision and image analysis algorithms
Requirements
- PhD or Master’s degree with equivalent experience in Computer Science, Machine Learning, Artificial Intelligence, Mathematics, Engineering or related quantitative field
- 2+ years of demonstrated experience in Deep Learning, Machine Learning, programming, data modelling and evaluation, probability and answering questions in high-dimensional datasets
- 2+ years of practical experience applying Deep Learning and Machine Learning to solve real-world problems or relevant quantitative and qualitative research and analytics experience
- 2+ year of experience in computer vision (CV)/Image analytics preferably in a research environment
- Expert knowledge of image processing and analysis procedures for the quantitative extraction of traits from remote and proximal sensing systems (2D and 3D) including machine-learning (classifiers, regression, clustering, feature selection and dimensionality reduction) and deep learning-based algorithms, preferably in a life sciences context focused on biological or agricultural Research and Development
- Demonstrated experience and skills in programming image analytics, statistical data analysis, clustering/classification, multivariate analysis and machine learning
- Expertise in data wrangling, mining, and modelling
- Experience effectively collaborating across science disciplines, Information Technology and Engineering to deliver scalable, end-to-end solution
Preferred Requirements
- Experience with SQL and AWS
- Experience using a programming language (Python, C/C++, Matlab) for Machine Learning or a statistical computer language (R, Python, SQL) to manipulate data and draw insights from large data sets
- Research and practical experience in the computer vision and machine learning domain
- Understanding of sensor calibration, image processing and algorithm development of pixel data.
- Sound understating of AI, Augmented Reality, Sensor Analytics, GIS environments would be preferred
- Experience with open-source software like ImageJ, Fiji and OpenCV
- Experience in Machine Learning and Deep Learning libraries such as TensorFlow, Keras, MXNet, PyTorch, or Scikit-Learn
- Familiarity with common and state of the art CNN architectures for object detection, image segmentation and classification.
- Familiarity working with version control system (e.g. Git, CVS, SVN,etc).
- Familiarity working with cloud computing technologies and conducting experiments on cloud-based datasets (e.g. Databricks, Azure, AWS EMR, AWS S3, AWS EKS, Docker, KubeFlow, etc).
- Experience with visualization and rapid prototyping tools (R Shiny, Spotfire, Power BI)
- Experience with Kubernetes and Docker and the Agile Methodology
- Knowledge of fundamental concepts in imaging-based automated plant phenotyping and statistics
- Demonstrated success in being a key player in a complex results-oriented research program requiring scientific creativity, innovative thinking, organization, communication & collaborative skills
What We Offer:
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Full Benefit Package (Medical, Dental & Vision) that starts the same day you do
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401k plan with company match, Profit Sharing & Retirement Savings Contribution
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Paid Vacation, 12 Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts among others
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A culture that promotes work/life balance, celebrates diversity and offers numerous family-oriented events throughout the year
Work Level: 4A to 5A
Recruiter: Brian Howell brian.howell@syngenta.com
Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.
Family and Medical Leave Act (FMLA)
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Equal Employment Opportunity Commission’s (EEOC)
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Employee Polygraph Protection Act (EPPA)
(http://www.dol.gov/whd/regs/compliance/posters/eppa.htm)
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