John Deere
Industrial · Autonomous tractors / See & Spray CV
John Deere has 6 active AI-related job listings. The most represented stages are agents and data, each accounting for 33% of the roles. Engineering is the top function, with hiring concentrated in the United States and Brazil. Frequently tagged technologies include agent orchestration, tool use, and RAG.
Industrial · Autonomous tractors / See & Spray CV
Currently tracking 6 active AI roles, down 13% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $109k–$170k (avg $151k).
John Deere currently has 11 active AI-related roles in our index. The most common open titles are: Engineer Perception System Integration (m/f/d), Lead Product Manager, Farmer Insights Applications, Part-Time Student - Data Science & Analytics, Part-Time Student - Data Science and Analytics - Austin, TX or Urbandale, IA, Part-Time Student - Software Engineer - Moline, IL. Most positions are in Engineering and Product.
John Deere's active AI hiring is concentrated in: agents (36%), data (27%), application (18%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
John Deere is hiring AI talent in: United States (8 roles), Brazil (3 roles).
Job postings at John Deere most frequently mention: Robotics, Machine Learning, Software Engineering, Perception, Linux.
In the past 30 days, John Deere has posted 9 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Part-Time Student - Software Engineer - Moline, IL Student Software Engineer role focused on designing, implementing, and operationalizing systems using LLMs and multimodal models, including RAG, agent frameworks, and tool use. Involves developing embedding pipelines and vector search strategies. | AgentData | 8 |
| Staff Data Scientist Staff Data Scientist role focused on leading the design, development, validation, deployment, and production support of scalable data science, AI, and machine learning solutions. The role involves building robust analytical methods and production-ready capabilities for various modeling techniques (benchmarking, similarity, causal inference, sequence analysis, impact modeling) using modern data science and cloud platforms. Responsibilities include technical leadership, translating business problems into analytical requirements, developing production-ready models and pipelines, and mentoring other data scientists. | Serve | 7 |
| SR Data Scientist - Global Team - Indaiatuba/SP Develop, deploy, and monitor predictive models for asset valuation in John Deere Financial. This role involves model lifecycle management, data analysis, SQL query development, and production deployment using MLOps practices. | Serve | 7 |
| Engineer Perception System Integration (m/f/d) Engineer responsible for integrating perception systems, including sensors like cameras, lidar, and radar, onto real machine platforms. This involves working across software, electronics, and sensing to ensure seamless operation of automation technologies in agriculture and construction machinery. The role spans the full development cycle from ideation to field validation and performance evaluation, with a focus on system-level integration and problem-solving. | AgentServe | 7 |
| Senior Perception Engineer Senior Perception Engineer role focused on developing and deploying applied ML models for autonomous systems, with responsibilities spanning the full autonomy stack from data ingestion to model deployment on embedded platforms. The role requires strong C++ and ML skills, with an emphasis on production reliability and system integration. | ShipData | 7 |
| Senior AI Engineer - Indaiatuba/SP Senior AI Engineer role focused on building and operating backend APIs and workflows that expose AI accelerator capabilities to product teams. The role involves end-to-end delivery of AI capabilities, applying responsible AI/LLMOps practices, and working with RAG/agentic workflows. Requires strong Python and full-stack experience, cloud familiarity (AWS), and CI/CD practices. | AgentServe | 7 |