Machine Learning Engineer - Computer Vision

Job Location

San Francisco Bay Area, CA, USA

Job Level


Type of Job

Full Time

About the job


  • Researching, developing and deploying advanced algorithms for image and video processing as well as computer vision.

  •  Build Machine Vision and Computer Vision models for fault and anomaly detection 

  • Experience training models on Google Kubernetes and Compute Engines 

  • Build Predictive models and Causal Inference models for generating predictive insights 

  • Deploy dynamic models on cloud infrastructure and as service APIs 

  • Integrating ML models with our Software Platform 

  • Implementing ML/AI solutions for web and mobile platforms through the collaboration with Software engineers. 

To apply, send a cover letter and resume to


  • A strong background in machine learning engineering . 3-5 years industry experience is ideal.

  • MS/PhD in Machine Learning, Computer Science, Mathematics or  related field with specialization in Machine Learning and/or Computer  Graphics.

  • Experience in image/video processing, computer vision, machine learning

  • Experience working with CNNs, RNNs, Neural Networks, Predictive models, Keras, Tensorflow

  • Experience with Git, Docker, Compute Engine, VMs, Kubernetes Engine

  • Experience deploying ML models in production

  • Strong data science and machine learning skills

  • Experience with Cloud Infrastructure such as Google Cloud Platform, AWS

  • Experience with deploying Machine Learning models in production on Google Cloud Platform, AWS

  • Proficient in Python, PySpark, OpenCV, MLFlow, KubeFlow, Docker

  • Strong analytical and problem-solving skills

About us

Buzz Solutions safeguards the world's energy infrastructure by providing AI-based actionable insights and predictive analytics for power line and energy infrastructure inspections.

We are disrupting the power utility industry by providing automation for inspection and maintenance operations for infrastructure, using our AI-powered software platform, and are a venture backed and funded startup looking for great talent to share our vision of energy industry transformation.

Our solutions and technology allows the utilities to reduce current inspection operation costs by at least 50%, prevent power outages, prevent wildfires and manage their assets in an effective way.

You will be working with a talented, passionate and hardworking team of engineers and product managers to build end-to-end Machine Learning products and pipelines that will be deployed for our customers in order to prevent issues such as power outages, forced shutdowns, impact of climate change on the aging grid infrastructure and preventing wildfires.


San Francisco Bay Area, CA, USA

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