Senior Data & Machine Learning Engineer II
Job Description
Corteva Agriscience, the world's leading agriscience company, is seeking a Senior Data & Machine Learning Engineer II to join their innovative team. This role represents a unique opportunity to combine cutting-edge technology with agricultural advancement, making a real impact on global food production and sustainability.
The position focuses on designing and maintaining sophisticated data pipelines that drive Corteva's data-driven initiatives in agriculture. As a senior engineer, you'll work with various data types, including structured, unstructured, and geospatial data, while implementing advanced machine learning solutions using modern frameworks like TensorFlow and Scikit-Learn.
The role offers an attractive salary range of $154,149 to $190,000 per year, with comprehensive benefits including health coverage from day one, generous PTO (4 weeks plus 2 weeks well-being pay), and extensive parental leave benefits. The position allows for telecommuting from anywhere in the US, providing flexibility while working with a purpose-driven organization.
You'll be part of a company that values innovation and sustainability, working on projects that directly impact global agriculture. The role requires expertise in Python, SQL, distributed computing, and cloud platforms, making it ideal for someone who wants to apply their technical skills to solve real-world agricultural challenges.
This position is perfect for an experienced professional with a Master's degree in Statistics, Computer Science, or related field, who has a strong background in data engineering and machine learning. You'll have the opportunity to work on meaningful projects while enjoying competitive compensation and excellent work-life balance.
The company culture emphasizes curiosity, bold thinking, and taking stands on what's right for customers, co-workers, partners, and the planet. If you're passionate about using technology to make the world a better place and want to be part of a company that's completely dedicated to advancing agriculture, this role offers an excellent opportunity to make a significant impact.
Responsibilities For Senior Data & Machine Learning Engineer II
- Design, build, and maintain data pipelines
- Handle large volumes of structured, unstructured, and geospatial data
- Develop anomaly detection algorithms
- Diagnose data quality root causes
- Optimize and deploy machine learning models
- Develop production-ready code libraries
- Integrate CI/CD tools for automated testing, deployment, and version control
Requirements For Senior Data & Machine Learning Engineer II
- Master's degree or equivalent in Statistics, Computer Science, or related field
- 5 years related experience
- Experience designing, developing, and optimizing scalable ETL data pipelines for agriculture use cases
- Experience implementing data ingestion patterns from relational databases, APIs, and manual sources
- Experience with machine learning model optimization and deployment using TensorFlow and Scikit-Learn
- Proficiency in Python, SQL, and distributed computing (Spark)
- Experience with Cloud data warehouses and data lake storage
- Experience developing production-ready code libraries and CI/CD tools
Benefits For Senior Data & Machine Learning Engineer II
- Numerous development opportunities
- Health benefits from day one
- Four weeks paid time off
- Two weeks well-being pay per year
- Paid holidays
- 16 weeks parental leave for both mother and father
- Competitive retirement savings plan
- Tuition reimbursement program
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