Machine Learning Engineer (Senior)
Machine Learning Engineer (Senior)
Machine Learning Engineer (Senior)
Orchard
Orchard Robotics is a Series A startup focused on automating farming through AI technology. They are seeking a Senior Machine Learning Engineer to develop solutions for machine learning and computer vision challenges related to processing large datasets from their advanced camera systems used in agriculture. The role offers equity compensation, flexible hours, and a collaborative work environment in San Francisco.
Qualification
- Experience in machine learning and computer vision.
- Proficiency in building ETL pipelines and processing large datasets.
- Familiarity with cloud infrastructure and edge device deployment.
- Ability to collaborate with cross-functional teams and domain experts.
- Strong problem-solving skills and creativity in developing ML solutions.
Responsibility
- Build and maintain scalable ETL pipelines for processing large image datasets from tractor-mounted camera systems.
- Stay updated with current literature in computer vision models and architectures, applying relevant advancements.
- Develop, deploy, and monitor infrastructure for model training, evaluation, and inference 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.
- Work closely with agronomists and farmers to understand crop biology and translate domain knowledge into actionable ML features.
- Support different parts of the software stack as needed.
