As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building and scaling our AI-powered logistics solutions
Job Summary
As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building and scaling our AI-powered logistics solutions.
Your work will span the full machine learning lifecycle—from extracting and transforming data from diverse sources to implementing production-grade ML models in our cloud environment.
This is a dynamic opportunity to become the expert on Shipwell's ML and data infrastructure, make critical technical decisions, and contribute to projects at the forefront of GenAI and machine learning in the logistics industry.
Matching Summary
As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building and scaling our AI-powered logistics solutions.
Salary
$130-$163K per year; bonus upside; Not specified
Skills & Requirements
Must-have
designing and implementing ML models
maintaining ML data in AWS
full machine learning lifecycle
Python, dbt, SQL, modern ML tooling
large-scale data model refactoring
agentic tooling and pipelines (LangChain, LangGraph, LangSmith)
collaboration with engineering, analytics, data science, product teams
Nice-to-have
high-energy start-up environment
diversity of thought and collaboration
open, honest, careful communication
hands-on experience building something big
Key Requirements
Bachelor's Degree in a quantitative field or equivalent experience
Experience working with DevOps
Proven track record of implementing data engineering best practices
Experience with version control tools (GitHub, GitLab)