Experience: 5+ years
We are looking for a Senior Machine Learning Engineer to build creative, practical, and robust solutions to ML/CV software and infrastructure problems, relating to training edge ML models on massive amounts of real-world farm image data collected by our camera systems.
- As an early engineer, you'll receive generous equity compensation
- Full-time role at our San Francisco, CA office
- Flexible working hours
- 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
- Our team is close-knit & highly driven, you'll work directly with our CEO and entire team
- We're deeply motivated by the impact we're making - every line of code written or new system built means less food that goes to waste, and more people who are fed.
- Build and maintain scalable ETL pipelines for processing large, diverse image datasets collected from our tractor-mounted camera systems in farms.
- Stay up-to-date with current literature in computer vision models and architectures, and apply relevant advancements to our systems.
- 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.
- 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.
- 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
- Enthusiasm for taking on multiple roles and responsibilities as our company grows.
- 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!
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This posting was published by Orchard Robotics on their own careers system and is shown here with a direct link to apply there. Employers: for corrections or removal, contact jobs@veritahire.com.