Machine Learning Engineer - Digital Product Biology

Company Description

As a world market leader in crop protection, we help farmers to counter these threats and ensure enough safe, nutritious, affordable food for all – while minimizing the use of land and other agricultural inputs. Syngenta Crop Protection keeps plants safe from planting to harvesting.  From the moment a seed is planted through to harvest, crops need to be protected from weeds, insects and diseases as well as droughts and floods, heat and cold. Syngenta Crop Protection is headquartered in Switzerland.

Job Description

Role purpose

The Machine Learning Engineer role is part of our Global Product Biology team, which is part of the R&D organization responsible for the development of new Crop Protection (CP) solutions for growers worldwide. In this role you will:

• Develop novel software image analysis solutions to provide non-subjective, quantitative data from agricultural fields through image analysis and processing. This could be through a combination of traditional image analysis and artificial intelligence (Deep Learning).
• Build and deploy machine learning systems throughout our data analysis pipeline

Accountabilities 

• Write elegant, maintainable, reusable code for image analysis
• Act as a subject matter expert in Artificial Intelligence, Machine Learning, and design of new image analysis systems and capabilities within the Global Product Biology team
• Work directly with the image annotation team to ensure the images you need to create models are fit-for-purpose.
• Develop, test, and deploy new machine learning models for computer vision applications

Qualifications

• Proficiency with the fundamentals as well as state of the art methods in image analysis, computer vision, and machine learning
• Ability to write maintainable, reusable code to develop high quality software and artificial intelligence systems
• Strong programming skills in Python
• Must be able to produce solutions independently in an organized manner and also be able to work in a team when required
• Strong communication skills. Fluent in written and spoken English

Preferred technical capabilities

• Experience with machine/deep learning frameworks like Tensorflow and PyTorch
• Proficiency with remote sensing, location, mapping, and geospatial data
• Proficiency with imaging system design and component selection
• Understanding of QGIS, git, and AWS

Preferred professional and personal capabilities

• Strong analytical skills, attention to detail, interest in new technology
• Contributes to a culture of innovation – creates an environment that inspires and supports creativity
• Proactive communication and alignment with stakeholders
• Strategic thinking with the ability to focus to deliver on what matters
• Open-minded thinking – beyond current practices and structures

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

Additional Information

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)

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