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At our company, we prioritize our people and seek professionals who are passionate, collaborative, and excel in their execution. Leaders are expected to communicate effectively, develop teams and lead by example. Our industry and our function are changing rapidly so we seek team members with a strong desire to develop themselves. You will be a great fit if you have:

A Ph.D. or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Mathematics, Engineering, or a related quantitative field, with at least 10 years of experience in Deep Learning, Machine Learning, programming, data modeling, evaluation, probability, and high-dimensional datasets

• Experience with cloud computing platforms such as AWS, GCP, or Azure
• Experience with MLFlow, Kubeflow, Sagemaker, Vertex AI, or equivalent
• Experience with machine learning frameworks such as Tensorflow, Pytorch, or Keras
• Proficiency in coding (Python, Java, C#, C/C++) and scripting (Python, R, Matlab)
• In-depth knowledge of feature stores, graph databases, SQL, NoSQL, data lakes, and other data storage technologies
• Expertise in data visualization tools such as Qlik, Spotfire, or Power BI
• Excellent written and verbal communication skills
• A strong ability to collaborate effectively with technical resources in a fast-paced environment
• A problem-solving mindset with the ability to rapidly deliver innovative solutions
• Experience working in cross-functional Agile engineering teams
• Strong overall software development approach. You deliver clean, well-tested code.

• Full Benefit Package (Medical, Dental & Vision) that starts the same day you do
• 401k plan with company match, Profit Sharing & Retirement Savings Contribution 
• Paid Vacation, 9 Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts among others
• A culture that promotes work/life balance, celebrates diversity and offers numerous family-oriented events throughout the year

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.

Family and Medical Leave Act (FMLA) 
(http://www.dol.gov/whd/regs/compliance/posters/fmla.htm)

Equal Employment Opportunity Commission's (EEOC)
(http://webapps.dol.gov/elaws/firststep/poster_direct.htm)

Employee Polygraph Protection Act (EPPA)
(http://www.dol.gov/whd/regs/compliance/posters/eppa.htm)