Company Description
Syngenta Seeds is one of the world’s largest developers and producers of seed for farmers, commercial growers, retailers and small seed companies. Syngenta seeds improve the quality and yields of crops. High-quality seeds ensure better and more productive crops, which is why farmers invest in them. Advanced seeds help mitigate risks such as disease and drought and allow farmers to grow food using less land, less water and fewer inputs.
Syngenta Seeds brings farmers more vigorous, stronger, resistant plants, including innovative hybrid varieties and biotech crops that can thrive even in challenging growing conditions.
Syngenta Seeds is headquartered in the United States.
Job Description
At Syngenta, we believe every employee has a role to play in safely feeding the world and taking care of our planet. To support that challenge, we are currently seeking a Machine Learning Engineer. As a Machine Learning Engineer at Syngenta, you will work within a multidisciplinary global team to discover, define, and design experiences that empower researchers to work more effectively and efficiently by utilizing our data-driven solutions.
Duties:
- Design, build, and maintain scalable machine learning solutions in production environments
- Contribute across the full lifecycle of machine learning projects, including problem definition, data exploration, model selection, performance evaluation, and deployment
- Develop robust, maintainable code for AI model serving and inference optimization
- Architect prompt engineering systems and LLM orchestration frameworks
- Collaborate with product managers and engineers to integrate ML systems into user-facing products
- Implement robust software engineering practices for ML systems including version control, testing, and CI/CD pipelines
- Stay current with the latest ML techniques and propose adaptations and improvements to internal practices
Qualifications
- Master's or Doctoral degree in Computer Science, Mathematics, Statistics, Engineering or a related field
- 5-8 years of experience in a machine learning engineering role with solid software development practices
- Proficiency with machine learning frameworks and libraries (e.g., PyTorch, TensorFlow, Keras, scikit-learn, XGBoost) and data manipulation (e.g. Pandas/Polars, SQL)
- Experience applying ML to both structured (tabular) and unstructured (text, image) data
- Knowledge of modern AI approaches including large language models, agentic orchestration, and generative AI applications
- Solid understanding of data fundamentals, machine learning algorithms, and statistical methods
- Strong programming skills in Python with emphasis on writing production-quality code, proficiency in SQL
- Knowledge of cloud services (e.g. AWS, GCP, Azure) and containerization technologies (e.g. Docker)
Preferred:
- Experience optimizing models for production deployment and inference
- Experience with ML monitoring, observability, and evaluation frameworks
- Experience implementing agentic AI systems
- Familiarity with LangGraph or similar agentic LLM orchestration frameworks
- Familiarity with vector databases and embedding models for information retrieval
- Experience fine-tuning language models
Additional Information
What We Offer:
- A culture that celebrates diversity & inclusion, promotes professional development, and strives for a work-life balance that supports the team members. Offers flexible work options to support your 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, among other benefits.
- Salary for this role is $102,900 to 191,000 per year.
Syngenta has been ranked as a top employer by Science Journal.
Learn more about our team and our mission here: https://www.youtube.com/watch?v=OVCN_51GbNI
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.
WL: 5B
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