We are seeking a Senior Machine Learning Engineer to lead the development of a sophisticated computer vision and real-time analytics platform with strong expertise in computer vision, distributed systems, and real-time processing architectures.
As the Principal Architect with a Senior ML Engineering discipline you will continuously iterate and benchmark end-to-end strategies for real-time video processing and analysis of camera feeds to continuously monitor, optimize, and innovate the pipelines capabilities.
Requirements:
- Capable of architecting solutions that meet or exceed the requirements and have the technical capacity and acumen to “show me” rather than “tell me”.
- Extremely disciplined in at least python and/or golang.
- Capable of implementing object detection, classification, and video segmentation algorithms.
- Competent with distributed processing to achieve magnitudes of scale in short order.
Must be able to understand the how, why, and when for benchmarking all components in the pipeline.
Bonus Points
- MLops, DevOps, or Platform Engineering experience.
- Has a keen interest in reducing resource requirements at scale.
- Can enjoy a mentoring first approach with a “learning & earning” mentality.
Next Steps
- Definitely submit your profile.
- Absolutely include any references to architecture, benchmarking, or repositories that are related to, or within, our problem domain.
- One interview and then it’s decision time!