Senior Machine Learning Engineer
Senior ML Engineer builds scalable ETL pipelines, develops ML infrastructure for training/evaluation/inference on cloud/edge, and integrates CV models for analyzing farm images from tractor cameras. Requires 5+ years experience with Python, PyTorch/TensorFlow, data engineering tools, and cloud platforms.
About the job
Responsibilities
- Build and maintain scalable ETL pipelines for processing large, diverse image datasets collected from tractor-mounted camera systems in farms.
- Stay up-to-date with current literature in computer vision models and architectures, and apply relevant advancements to 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 the software stack as needed.
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.
- Enthusiasm for taking on multiple roles and responsibilities as company grows.
Nice-to-Haves
- 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.
Compensation & Benefits
- Generous equity compensation.
- Full-time role at San Francisco, CA office.
- Flexible working hours.
- Comprehensive Health, Vision, and Dental coverage (100% premium covered).
Skills
Python, PyTorch, TensorFlow, pandas, SQL, Apache Airflow, Spark, AWS, GCP, Azure, Docker, Kubernetes, MLOps, Nvidia Jetson, Computer Vision
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