Senior Machine Learning Engineer

At Orchard, we’re securing America’s food supply by building the AI Farmer that automates our nation’s farms. We are the industry leader, growing rapidly, and backed by more than $25 million from leading investors, including Quiet Capital, Shine Capital, and General Catalyst. Every year, hundreds of billions of dollars in crop value are lost because critical farming decisions are made using incomplete and imprecise data. We’re building the technology to change that. Our AI-powered camera systems mount to tractors and scan millions of trees, vines, and plants, capturing precise data on yield estimates, fruit size, crop health, disease, and more. We train edge vision AI models that analyze every plant and determine exactly what interventions and treatments it needs. That intelligence flows into FruitScope OS, our farm-management platform, where growers can understand their crops, make better decisions, and direct operations in the field. Today, Orchard’s technology is trusted by some of our nation’s largest farms. They use our products to grow higher-quality crops while reducing chemical use and operating costs, helping them farm more profitably and sustainably than ever before. Our Culture: Unshakeable Resilience – Our customers feed millions of people, and our customers depend on us. We are ultra-hardworking, never give up, and we do whatever it takes. Always Keep Moving [... source excerpt omitted ...] ent intelligent active sampling infrastructure to optimize data collection and improve model performance. Collaborate with a multidisciplinary team to integrate ML solutions into production robotics systems. Work closely with agronomists and farmers to understand crop biology and translate domain knowledge into actionable ML features. Be a generalist, supporting different parts of our software stack as needed. What makes you a good fit: 5+ years of experience building production-grade data pipelines and ML infrastructure. Proficiency in Python and experience with ML frameworks (e.g., TensorFlow, PyTorch). Strong experience with data engineering tools (e.g., Pandas, SQL, Apac [... source excerpt omitted ...] ring to ensure consistent deployment of ML models. Ability to work independently, learn quickly, and operate in a dynamic environment Enthusiasm for taking on multiple roles and responsibilities as our company grows. Bonus Points: Experience deploying & optimizing ML models to run fast on embedded compute like NVIDIA Jetson Experience prototyping, evaluating, or deploying new ML/CV models on the edge. If you're looking to help make a positive impact in the world by building the future of farming, come join us!