Orchard
Machine Learning Engineer
San Francisco · Full-time
Sponsorship not specifiedDetected 130 days ago
PythonSQLAWSGCPCloud PlatformsDockerKubernetesMachine LearningPyTorchPandasData EngineeringComputer VisionMLOpsRobotics
About the role
- Full-time, in-person role at our San Francisco or Seattle office.
- Comprehensive Health, Vision, and Dental coverage, and we cover 100% of the premium
- We move fast, and sometimes this means staying late or working weekends
Responsibilities
- Build and maintain scalable ETL pipelines for processing large, diverse image datasets collected from our tractor-mounted camera systems in farms.
- Develop and deploy infrastructure for model training, evaluation, and inference, both in the cloud and on edge devices.
- Design and implement 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.
- 2+ years of real-world, industry experience building production-grade data pipelines and ML infrastructure.
Requirements
- Proficiency in Python and experience with ML frameworks (e.g., PyTorch).
- Strong experience with data engineering tools (e.g., Pandas, SQL, MLFlow, WandB).
- Familiarity with cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes).
- Experience working with massive amounts of real-world training data.
- Familiarity with MLops software and data engineering to ensure consistent deployment of ML models.
- Ability to work independently, learn quickly, and operate in a dynamic environment
Nice to have
- 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.
Skills
- Orchard Robotics is a Series A startup backed by top VCs like Quiet Capital, Shine Capital, and General Catalyst.
- Our state-of-the-art AI analyzes every one of the billions of fruit across a farm.
- Today, our technology is trusted by some of the largest farms in the nation.
- Farmers use our software every day to make critical decisions and run more efficient, profitable operations.
Compensation
- As an early engineer, you'll receive generous equity compensation
Benefits
- As an early engineer, you'll receive generous equity compensation
- Stay up-to-date with current literature in computer vision models and architectures, and apply relevant advancements to our systems.
Company info
- We start by building AI-powered camera systems that collect the most valuable data for farmers, telling them everything about what is growing on their millions of trees, vines, and plants, across thousands of acres of farmland.
- We provide accurate yield estimates, fruit counts, size projections, disease detection, inventories, bloom maps, and more!
- All this data lives in our cloud platform, FruitScope OS, that we've developed from the ground up to enable farmers to manage their crop with precision.
- We are growing fast, and have the industry-leading product.
- Enthusiasm for taking on multiple roles and responsibilities as our company grows.
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This listing is sourced directly from Orchard's careers page and normalized into a canonical job model.