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Cognitive Analytics EngineerCorteva Agriscience • United States
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Cognitive Analytics Engineer

Corteva Agriscience
  • US
    United States
  • US
    United States
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About

At
Corteva Agriscience
, you will help us grow what’s next. No matter your role, you will be part of a team that is building the future of agriculture – leading breakthroughs in the innovation and application of science and technology that will better the lives of people all over the world and fuel the progress of humankind.
***Please note: there is no visa sponsorship provided for this role.
We're looking for a
Cognitive Analytics Engineer
to join our Artificial Intelligence in Breeding group. You'll work at the intersection of agentic AI systems, simulation, and reinforcement learning — building and deploying the intelligent systems that enable breeding teams to optimize complex, multi-stage decisions through digital twin environments and AI-driven orchestration.
This role is central to our cognitive analytics strategy: you'll help build and deploy the agentic systems and digital twin environments that enable teams to seamlessly integrate simulation, reinforcement learning, and AI-powered decision tools into breeding pipelines and workflows. You'll partner with scientists and engineering stakeholders to deploy these systems to our breeding teams across crops and geographies.
Who You Are:
You're a systems-minded AI engineer who thinks natively in terms of agents, environments, and optimization. You're comfortable building the infrastructure that makes agentic workflows reliable and scalable, and you have the theoretical grounding to reason about reinforcement learning formulations, simulation fidelity, and reward design. You thrive in collaborative, cross-disciplinary teams and can translate between ML research and production engineering.
What You'll Do:
Build and maintain agentic AI systems that orchestrate analytics, simulation, and decision workflows for breeding pipelines, guiding solutions from prototype through production deployment
Implement and optimize digital twin components for use with agentic inference systems and reinforcement learning training pipelines
Develop and train reinforcement learning agents that optimize breeding pipeline strategy
Collaborate with scientists and domain experts to address breeding challenges with agentic-driven solutions leveraging simulation and deterministic optimization
Architect for scale and deployment — distributed training, efficient orchestration, and production-grade reliability of AI systems
What Skills You Need:
Master's degree in computer science, machine learning, or a related field (or equivalent practical experience), with 3–5 years of relevant experience
Strong Python skills with computational and scientific libraries
Experience with deep learning frameworks (e.g. PyTorch, JAX)
Experience with reinforcement learning frameworks and theory
Experience with simulation environments or digital twin systems
Experience with deployment of orchestrated agents and associated components (e.g. MCP, ACP)
Experience with distributed training and efficient AI orchestration
Strong communication skills — able to bridge AI/ML concepts with domain scientists and cross-functional teams
Experience with Linux and Docker
What Makes You Stand Out:
Experience with LLM-based agent architectures, tool-use orchestration, or multi-agent systems
Experience designing or building custom reinforcement learning environments for real-world decision problems
AWS/Kubernetes experience
Experience with compiled languages (e.g. C++, Rust) for performance optimization
Background in plant breeding, genetics, agriculture, or related domains — candidates with reinforcement learning and simulation backgrounds in other complex decision domains (robotics, operations research, autonomous systems) are encouraged to apply
Benefits – How We’ll Support You:
Numerous development opportunities offered to build your skills
Be part of a company with a higher purpose and contribute to making the world a better place
Health benefits for you and your family on your first day of employment
Four weeks of paid time off and two weeks of well-being pay per year, plus paid holidays
Excellent parental leave which includes a minimum of 16 weeks for mother and father
Future planning with our competitive retirement savings plan and tuition reimbursement program
Learn more about our total rewards package here - Corteva Benefits (https://hrportal.ehr.com/LinkClick.aspx?fileticket=2Nre68t3vrs%3d&portalid=351)
Check out life at Corteva! www.linkedin.com/company/corteva/life
Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team.
Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.
Corteva Agriscience™ is an equal opportunity employer. We are committed to boldly embracing the power of inclusion, diversity, and equity to enrich the lives of our employees and strengthen the performance of our company, while advancing equity in agriculture. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability or any other protected class. Discrimination, harassment and retaliation are inconsistent with our values and will not be tolerated. If you require a reasonable accommodation to search or apply for a position, please visit:Accessibility Page for Contact Information
For US Applicants: See the ‘Equal Employment Opportunity is the Law’ poster. To all recruitment agencies: Corteva does not accept unsolicited third party resumes and is not responsible for any fees related to unsolicited resumes.
  • United States

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