Machine Learning Engineer

Syngenta Group; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

Syngenta Group is seeking a Machine Learning Engineer to support analytics and data science work within our North American development and research function focused on seeds. The role is based remotely in North Carolina and connects with a cross-functional team bridging research farming and data-driven decision making.

You will apply ML techniques to datasets from development operations, collaborate to translate research findings into usable models, and contribute to model development, testing,

Qualifications

• Background in machine learning, data science, computer science, or a related quantitative discipline.
• Practical experience building and evaluating models from real-world datasets.
• Ability to work remotely while staying connected to a regional development team.
• Eligibility to work in the United States.

Responsibilities

• Apply machine learning techniques to datasets produced by North American development and research farming operations.
• Collaborate with analytics and data sciences colleagues to translate research findings into usable models.
• Support data analysis needs for ongoing development programs across the region.
• Contribute to model development, testing, and iteration in alignment with department priorities.

Skills

Machine learning

Data science

Model development

Collaboration

Job description

Role overview

This is a regular, full-time Machine Learning Engineer position supporting analytics and data science work within a North American development and research function focused on the seeds business. The role is based remotely in North Carolina and sits inside a development department that bridges research farming and data-driven decision making.

Responsibilities

• Apply machine learning techniques to datasets produced by North American development and research farming operations.
• Collaborate with analytics and data sciences colleagues to translate research findings into usable models.
• Support data analysis needs for ongoing development programs across the region.
• Contribute to model development, testing, and iteration in alignment with department priorities.

Requirements

• Background in machine learning, data science, computer science, or a related quantitative discipline.
• Practical experience building and evaluating models from real-world datasets.
• Ability to work remotely while staying connected to a regional development team.
• Eligibility to work in the United States.