Machine Learning Engineer
Core
Applied machine learning role focusing on statistical exploration and model deployment to optimize pricing, carrier forecasting, and recommendation systems for a digital freight platform.
Role type
Senior IC machine learning engineer (applied/research-oriented)
Builds
Production ML models for pricing, forecasting, and recommendation engines
Domain
Logistics / Transportation / AI
Deliverable
production ML models
Required skills
Statistical analysis, hypothesis testing, Python, SQL, Git, Cloud data warehouses (Snowflake), LLMs, End-to-end model deployment
Preferred skills
Experience with interactive data apps/dashboards (Streamlit, PowerBI), Business acumen in logistics
Technologies
Python, SQL, Git, Snowflake, Jupyter Notebooks, Streamlit, PowerBI, LLMs
Responsibilities
Develop bid estimation and margin-optimization algorithms; Build predictive models for carrier behavior and market capacity; Maintain and improve recommender systems; Explore new ML solutions for freight routing and network optimization; Partner with Product Managers for product discovery and prototyping; Integrate LLMs and AI agents into workflows and products; Collaborate with MLOps platform team for model deployment
Seniority
Senior, hands-on IC
