GenLogs is a transportation-technology company building the next generation of truck intelligence. Backed by Battery and IVP.
About the role
You’re a problem solver at heart. You thrive at the intersection of engineering, math, and machine learning , and you’re motivated by questions that don’t have obvious answers. You bring a background in engineering, computer science, physics, applied math, or another hard science discipline, and you enjoy applying that technical foundation to real-world ML challenges.
What they're looking for
- 2–5 years of professional experience in Data Science, Machine Learning, or Software Engineering
- Technical foundation in engineering, physics, math, computer science , or related applied fields
- Experience deploying or building models using:
- Machine learning fundamentals (classification, clustering, time-series, anomaly detection)
- Computer vision (OCR, object detection, embeddings)
- Geospatial data analysis (mapping, clustering, location intelligence)
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 the freight intelligence 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’re a problem solver at heart. You thrive at the intersection of engineering, math, and machine learning , and you’re motivated by questions that don’t have obvious answers. You bring a background in engineering, computer science, physics, applied math, or another hard...
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