Machine Learning Engineer

Company Description

About Syngenta

At Syngenta Seeds Field Crops, we're shaping the future of agriculture and empowering farmers to meet the ever-growing demand for food and fuel. We’re a global Ag Tech powerhouse, headquartered in the United States, with passionate, local experts collaborating with farmers to deliver solutions that create market opportunities. We unite precision breeding, advanced biotechnology trait choice, and digital platforms for unmatched in-field performance. Our seeds help mitigate risks such as disease, insect, weed, and extreme weather pressures, all while promoting sustainable farming practices that protect and enhance our planet. Join our mission of revolutionizing food security and transforming agriculture.

Job Description

At Syngenta, we are building the most collaborative and trusted team in agriculture to provide leading seeds innovations that enhance the prosperity of farmers worldwide. Our Data Science and Engineering team in R&D Digital is seeking a motivated Machine Learning Engineer who will drive the development and deployment of advanced computer vision and machine learning solutions, with an initial focus on leveraging imagery and sensor data to accelerate breeding programs and bring superior seeds to market faster.

As an individual contributor, you will use your technical expertise and scientific rigor to transform raw imagery and other diverse data sources into scalable, production-grade AI tools that empower internal and external users across research, product development, and operational workflows. This includes not only developing research prototypes but also building and maintaining the underlying software and cloud components (data pipelines, orchestration, deployment, monitoring) required to run reliably in production.

To do so, you will engage directly with stakeholders, researchers, product managers, and technical partners to translate business objectives and scientific goals into robu