ML Engineer: Agriculture Computer Vision

Syngenta Group; United States; On-site; USD 108,000 - 200,000; Full time

Benefits offered by this job

Medical, Dental & Vision

401k with company match

Paid vacation & holidays

Education assistance

Wellness programs

Job summary

Syngenta Group seeks a Machine Learning Engineer to drive the development and deployment of advanced computer vision and AI solutions for phenomics and seed programs. You will transform raw imagery and sensor data into scalable production tools used across research, product development, and operations.

You will build cloud-based data pipelines, apply modern ML techniques, and collaborate with stakeholders to translate scientific goals into robust, deployed solutions that maximize impact for

Qualifications

• Master's or Doctoral degree in Computer Science, Remote Sensing, Engineering, Mathematics/Statistics, Geosciences or related technical field.
• 5+ years of experience in ML engineering and data science with 4+ years in applied computer vision.
• Deep expertise in CNNs, vision transformers, segmentation/detection models and frameworks (PyTorch, TensorFlow, Keras, scikit-learn, XGBoost).
• Productionalize ML models using Python/SQL, MLOps tooling (MLflow, Weights & Biases), Docker, CI/CD and cloud platforms (AWS, GCP, Azure).
• Experience with ETL/ELT, Airflow/Kubeflow/Argo/Prefect and cloud-native services for ML pipelines.
• Domain knowledge in plant phenotyping/agriculture imaging; familiarity with self-supervised learning and foundation models.

Responsibilities

• Design and deploy production-grade computer vision models from multi-modal imagery.
• Build scalable phenomics pipelines processing thousands of field plots.
• Collaborate with breeders and researchers to translate objectives into ML solutions.
• Shape strategy for computer vision in phenomics and multi-modal data fusion.
• Lead end-to-end ML projects from problem definition to deployment and monitoring.
• Develop cloud-based data pipelines and workflow orchestrators for imagery data.
• Productionize research code and optimize ML systems for reliability and scale.
• Architect mobile-first AI products for real-time image analysis and trait measurements.
• Maintain automated image preprocessing and quality control workflows.
• Share knowledge and document ML concepts for non-technical stakeholders.
• Follow an agile approach across global teams.

Skills

Machine Learning

Applied computer vision

Python

SQL

MLOps

Cloud platforms

Data pipelines

Education

Master's or Doctoral degree in Computer Science or related fields

Tools

PyTorch

TensorFlow

Keras

scikit-learn

Docker

Airflow

Kubeflow

Argo

Prefect

MLflow

Weights & Biases

Job description

Syngenta Group seeks a Machine Learning Engineer to drive the development and deployment of advanced computer vision and AI solutions for phenomics and seed programs. You will transform raw imagery and sensor data into scalable production tools used across research, product development, and operations.

You will build cloud-based data pipelines, apply modern ML techniques, and collaborate with stakeholders to translate scientific goals into robust, deployed solutions that maximize impact for