
51 - 200 employees
Founded 2021
đ Transport
đŠ Logistics
đ Real Estate
Transport âą Logistics âą Real Estate
Outpost is a technology company that provides strategic locations for truck parking, fleet positioning, and drop trailer relays, facilitating seamless freight movement across the United States. Their rapidly growing nationwide network of secure yards supports trucking companies, from enterprise fleets to owner-operators, by maximizing property utilization and improving operational efficiency. By partnering with yard owners, Outpost enables better returns on investment while enhancing the logistics infrastructure essential for the supply chain.
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51 - 200 employees
Founded 2021
đ Transport
đŠ Logistics
đ Real Estate
Transport âą Logistics âą Real Estate
Outpost is a technology company that provides strategic locations for truck parking, fleet positioning, and drop trailer relays, facilitating seamless freight movement across the United States. Their rapidly growing nationwide network of secure yards supports trucking companies, from enterprise fleets to owner-operators, by maximizing property utilization and improving operational efficiency. By partnering with yard owners, Outpost enables better returns on investment while enhancing the logistics infrastructure essential for the supply chain.
âą Own tracking and reporting of CV accuracy metrics, per customer and per identifier type. âą Investigate misclassifications and false negatives, categorize root causes, and identify patterns across customers and yards. âą Curate, label, and prioritize datasets for model retraining, partnering closely with our ML and CV engineers. âą Build and improve the continuous learning pipeline so new models ship weekly with minimal manual engineering effort. âą Define functional acceptance criteria for CV accuracy per customer and track progress against them. âą Translate accuracy findings into decisions the engineering team and customer-facing stakeholders can act on. âą As the pipeline matures, expect to move from flagging issues to fixing them directly; building the labeling/preprocessing tooling, running retraining jobs, and owning fixes for the error patterns you find, not just reporting them.
âą 3+ years in a data quality, ML data engineering or applied ML role. âą Experience working with computer vision or object detection systems in production. âą Comfortable writing Python for data analysis, pipeline automation, and dataset tooling. âą Strong analytical rigor, comfortable digging into large volumes of imagery/data to find patterns, not just running a script and reporting a number. âą Experience with dataset annotation/labeling tools and workflows (Roboflow, Labelbox, CVAT, or similar). âą Strong communication skills in English â you write clearly and engage well async.
âą Outpost is an Equal Opportunity Employer and Prohibits Discrimination of Any Kind.
Apply Nowđ July 22
Data Engineer designing, implementing, and automating deployment of distributed systems for data collection and processing. Working collaboratively with Data Analysts and internal partners for future data solutions.
Airflow
ETL
Kafka
Python
Spark
SQL