Senior Machine Learning Engineer
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Summary
Senior ML Engineer at Orchard Robotics in San Francisco builds ETL pipelines for large farm image datasets and infrastructure for model training, evaluation, deployment, and inference, integrating computer-vision ML into production robotics systems using Python, TensorFlow/PyTorch, Airflow/Spark, cloud platforms, Docker, and Kubernetes.
You will build ETL pipelines for farm image data and develop infrastructure for model training, evaluation, deployment, and inference. You will implement active sampling, integrate ML into robotics systems, translate crop knowledge into ML features, and support the software stack.
Responsibilities
- Build and maintain ETL pipelines for large image datasets
- Apply computer-vision model and architecture advancements
- Develop, deploy, and monitor infrastructure for model training, evaluation, and inference
- Design and implement active-sampling infrastructure
- Integrate machine-learning solutions into production robotics systems
- Translate crop biology and domain knowledge into machine-learning features
- Support different parts of the software stack
Requirements
- 5+ years building production-grade data pipelines and machine-learning infrastructure
- Python
- TensorFlow or PyTorch
- Pandas, SQL, Apache Airflow, or Spark
- AWS, GCP, or Azure
- Docker
- Kubernetes
- Experience with large real-world training datasets
- MLOps and data engineering experience
Benefits
- Equity
- Health coverage with 100% of premiums covered
- Vision coverage with 100% of premiums covered
- Dental coverage with 100% of premiums covered
