Machine Learning Engineer - Digital Product Biology

Syngenta Group - Vero Beach, FL

Full-time - Mid Level

Vero Beach, FL

Merchant Wholesalers, Nondurable Goods

About the position

The Machine Learning Engineer role is an integral part of our Global Product Biology team within the Research and Development (R&D) organization at Syngenta. This position is focused on the development of innovative Crop Protection (CP) solutions aimed at enhancing agricultural productivity and sustainability. As a Machine Learning Engineer, you will be responsible for creating advanced software image analysis solutions that yield non-subjective, quantitative data from agricultural fields. This involves leveraging both traditional image analysis techniques and cutting-edge artificial intelligence methods, particularly Deep Learning, to analyze and process images effectively. In this role, you will build and deploy machine learning systems that are essential to our data analysis pipeline. Your contributions will directly impact the efficiency and effectiveness of our crop protection strategies, ensuring that farmers have the tools they need to protect their crops from various threats, including pests, diseases, and environmental challenges. You will be expected to write elegant, maintainable, and reusable code for image analysis, acting as a subject matter expert in Artificial Intelligence and Machine Learning within the Global Product Biology team. Collaboration is key in this role, as you will work closely with the image annotation team to ensure that the images required for model creation are fit for purpose. You will also be tasked with developing, testing, and deploying new machine learning models specifically tailored for computer vision applications, contributing to the overall mission of Syngenta to provide safe, nutritious, and affordable food for all while minimizing agricultural inputs.

Responsibilities

• Develop novel software image analysis solutions to provide quantitative data from agricultural fields through image analysis and processing.
• Build and deploy machine learning systems throughout the data analysis pipeline.
• Write elegant, maintainable, reusable code for image analysis.
• Act as a subject matter expert in Artificial Intelligence, Machine Learning, and design of new image analysis systems within the Global Product Biology team.
• Work directly with the image annotation team to ensure the images needed for model creation are fit-for-purpose.
• Develop, test, and deploy new machine learning models for computer vision applications.

Requirements

• Proficiency with the fundamentals and state-of-the-art methods in image analysis, computer vision, and machine learning.
• Ability to write maintainable, reusable code to develop high-quality software and artificial intelligence systems.
• Strong programming skills in Python.
• Ability to produce solutions independently in an organized manner and work in a team when required.
• Strong communication skills, fluent in written and spoken English.

Nice-to-haves

• Experience with machine/deep learning frameworks like Tensorflow and PyTorch.
• Proficiency with remote sensing, location, mapping, and geospatial data.
• Proficiency with imaging system design and component selection.
• Understanding of QGIS, git, and AWS.
• Strong analytical skills and attention to detail.
• Interest in new technology and innovation.
• Proactive communication and alignment with stakeholders.
• Strategic thinking with the ability to focus on delivering what matters.
• Open-minded thinking beyond current practices and structures.

Benefits

• A culture that celebrates diversity & inclusion and promotes professional development.
• Flexible work options to support work and personal needs.
• Full Benefit Package (Medical, Dental & Vision) that starts your first day.
• 401k plan with company match, Profit Sharing & Retirement Savings Contribution.
• Paid Vacation, Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts.