Machine Learning Engineer

Avernsys builds Rotasal, a route optimization platform for last-mile delivery teams: dispatchers enter their orders and get optimized, driver-ready routes in seconds. We're a small, founder-led team in Palo Alto, and every hire shapes both the product and how we work. Good routes depend on good predictions: how long a stop takes, how traffic behaves at 8 a.m., which orders will show up tomorrow. You'll build those models and the pipelines that train, evaluate, and serve them inside the optimization loop. What you'll do Build and productionise models for travel-time, service-time, and demand prediction. Design feature pipelines, training jobs, evaluation, and monitoring. Work with the optimization team to feed predictions into the routing engine. Measure real-world impact and iterate with customer data. What we're looking for Experience taking ML models from notebook to production. Strong Python and solid software engineering habits; comfort with SQL. Grounding in statistics and evaluation — you know when a model is actually better. Working proficiency in English. Nice to have Experience with geospatial or time-series data. Familiarity with optimization or logistics. #J-18808-Ljbffr