Orchard
Senior Machine Learning Engineer
San Francisco · Senior · Full-time
Sponsorship not specifiedDetected 130 days ago
PythonSQLAWSGCPAzureCloud PlatformsDockerKubernetesMachine LearningTensorFlowPyTorchPandasSparkAirflowData EngineeringComputer VisionMLOpsRobotics
About the role
- Full-time role at our San Francisco, CA office
- Comprehensive Health, Vision, and Dental coverage, and we cover 100% of the premium
- In order to analyze billions of fruit on farms all year long, our advanced, tractor-mounted camera systems have to know a.) precisely where they are, and b.) everything about the fruit they are seeing.
Responsibilities
- Build and maintain scalable ETL pipelines for processing large, diverse image datasets collected from our tractor-mounted camera systems in farms.
- Develop, deploy, and monitor 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.
Requirements
- 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, Apache Airflow, Spark).
- Familiarity with cloud platforms (AWS, GCP, or Azure) 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 technology is used today across some of the largest farms in the nation.
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 collecting the most valuable data for farmers, telling them everything about what is growing on their millions of trees, across thousands of acres of farmland.
- We do this using advanced camera systems we build, that take pictures of every one of the billions of fruit in a farm.
- This data lives in our cloud data platform, FruitScope, that we've developed from the ground up to help farmers manage their crops with precision.
- Farmers across the nation use our industry-leading software to look at their data, make critical decisions, and command farming operations on a daily basis.
- 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.