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# Senior Machine Learning Engineer in San Francisco

- **Company:** Energy Jobline
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $150,000.0 - $265,000.0
- **Contract:** Permanent contract
- **Skills:** Training Data, Airflow, Amazon Web Services, Computer Vision, Microsoft Azure, Cloud Computing, Information Engineering, Extract Transform Load (ETL), Python (Programming Language), Machine Learning, Software Tools, Tensorflow, SQL Databases, Pytorch, Apache Spark, Pandas, Containerization, Kubernetes, Machine Learning Operations, Data Pipelines, Docker
- **Published:** August 8, 2026
- **Apply:** https://www.energyjobline.com/job/senior-machine-learning-engineer-san-francisco-31406285

## About the Role

* 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.

Bonus Points:

 * 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!

## Description

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., * As an early engineer, you'll receive generous equity compensation, * 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.


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