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.
Through leading innovations, we help farmers around the world meet the challenge of feeding a growing population while taking care of our planet. We are currently seeking an energized and collaborative Machine Learning Scientist for the Seeds Research and Development team. As a Machine Learning Scientist, you will:
Play a major role in defining, designing, experimenting, and evaluating product-focused solutions utilizing machine learning methods, deep learning, computer vision and natural language processing
You will help meet the world’s most pressing needs by:
Utilizing rigorous machine learning approaches to help transform our Seeds product development pipeline to deliver maximum value to our growers and sustainability to agriculture Working collaboratively on complex problems using machine learning to provide autonomous solutions, improve decision making and simplify our processes in order to deliver value to our growers Modeling complex problems, discover and deliver insights leading to new intelligence and identify opportunities via the use of statistical, algorithmic, and visualization techniques
Create prototypes to address needs and enhance fundamental decision-making Learn and understand the Seeds Development pipeline and operations, associated data and key decisions in order to recognize opportunities for enabling and enhancing our 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 Identify data needs; efficiently process, clean, and verify the integrity of data used for analyses Network and collaboratively work with seeds development, analytics and data science experts, IT, and product managers to build and enable end to end solutions Work with Seeds Research and Development stakeholders in communicating analytical results to develop enhancement opportunities, share key learnings and contribute to technical training offerings to support implementation of innovative approaches
2+ years of experience: Deep Learning, Machine Learning, programming, data modeling 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 Ph.D. or Masters’ degree with equivalent experience in Computer Science, Machine Learning, AI, Mathematics, Engineering, or related quantitative field 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 Experience in Machine Learning and Deep Learning libraries such as TensorFlow, Keras, MXNet, PyTorch or Scikit-Learn Experience effectively collaborating across science disciplines, IT and Engineering to deliver scalable, end-to-end solutions
What We Offer:
Full Benefit Package Medical, Dental & Vision that starts the same day you do 401k plan with company match, Profit Sharing & Retirement Savings Contribution Paid Vacation, 12 Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts among others A culture that promotes work/life balance, celebrates diversity and offers numerous family-oriented events throughout the year
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
Equal Employment Opportunity Commission's EEOC
Employee Polygraph Protection Act EPPA