GenLogs is a transportation-technology company building the next generation of truck intelligence. Backed by Battery and IVP.
About the role
You will own computer-vision problems end to end from the photons entering a roadside camera to the structured vehicle intelligence delivered by our platform. This is not a role where you train a model, publish an evaluation, and hand it to another team to productionize. You will be responsible for understanding the entire system: camera placement and configuration, image quality, training data, model architecture, edge inference, production deployment, monitoring, and downstream outcomes. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Proficient in Python, SQL, OpenCV, and PyTorch programming
- Knowledgeable in GPU computing and inference optimization tools including CUDA, ONNX, OpenVINO, and TensorRT
- Knowledgeable in object detection, segmentation, optical character recognition, signal processing, linear algebra, and Vision Transformer models
- Experience or interest in geospatial data analysis (e.g., GIS, GeoPandas)
- Experience with version control systems like Git
More about this role
ABOUT THE DATA TEAM
The Data Science team at GenLogs transforms raw observational data from the our sensor network into high-value intelligence used by law-enforcement agencies, regulators, ports, and private-sector freight operators. We build models, analytics, and measurement frameworks that enable vehicle detection, entity resolution, behavioral insights, fraud and theft indicators, compliance signals, and network-wide operational performance metrics. Our work sits at the center of our platform, shaping how billions of roadside observations become actionable information. We partner closely with Engineering and Product to deploy algorithms at scale and with Go-to-Market teams to define customer-facing analyses that drive real operational outcomes. The team blends statistical rigor, ML capability, and domain expertise to create a new standard for freight intelligence in the United States.
You will own computer-vision problems end to end from the photons entering a roadside camera to the structured vehicle intelligence delivered by our platform.
This is not a role where you train a model, publish an evaluation, and hand it to another team to productionize. You will be responsible...
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