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US

  • You will own and deliver end-to-end computer vision projects for power grid analysis, including defect detection and vegetation monitoring.
  • You will bridge research and production by reading papers, adapting algorithms, and deploying reliable models.
  • You will work within a team of experienced ML engineers with the autonomy to drive your own projects.

Python PyTorch Git Docker

4 jobs similar to Computer Vision & Machine Learning Engineer

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US

  • Deliver end-to-end computer vision projects for power grid defect detection, thermal anomalies, vegetation monitoring, and surveillance.
  • Advance ML research by implementing novel algorithms from papers and conducting systematic experiments for production viability.
  • Develop production-grade Python libraries and pipelines covering the full ML lifecycle from data ingestion to model serving.

Buzz uses AI to analyze and maintain power grid infrastructure for enhanced safety and efficiency. The team is composed of experienced ML engineers working in a collaborative, autonomous environment.

  • Assist in developing computer vision models for wildfire detection and environmental monitoring.
  • Help implement and maintain ML/CV pipelines and deploy models on NVIDIA Jetson edge platforms.
  • Collaborate with AI researchers, software engineers, and product teams to optimize and document solutions.

Pano AI is the leader in AI-powered wildfire detection and intelligence, helping fire professionals detect, respond to, and contain wildfires faster and more safely. We are a team of more than 175 people working in a hybrid-remote environment across North America and Australia, with headquarters in San Francisco.

$90,000–$115,000/yr
US

  • Design, develop, and optimize computer vision models and deep learning capabilities across the product portfolio.
  • Build and maintain ETL pipelines, clean datasets, and perform feature engineering for machine learning applications.
  • Collaborate with cross-functional teams to productionize, deploy, and monitor models in real-world environments.

FloVision is a remote-first startup improving the food supply chain with computer vision and ML. It is a Series A company with a distributed team across the US, UK, and Ireland.

Latin America

  • Own tracking and reporting of CV accuracy metrics, investigating misclassifications and identifying patterns across customers.
  • Curate, label, and prioritize datasets for model retraining, partnering closely with ML and CV engineers.
  • Build and improve the continuous learning pipeline, moving from flagging issues to fixing them directly.

We are building the backbone of freight by reinventing supply chain infrastructure with carrier agnostic truck terminals. We are a vertically integrated real estate, operations, and technology company backed by $1B, scaling to build the most valuable logistics network in the country, with a culture of accountability, integrity, and high performance.