Machine Learning Engineer

Shipwell is a company that empowers supply chain efficiency and service effectiveness at scale. As a Machine Learning Engineer, you will play a pivotal role in building and scaling AI-powered logistics solutions by designing, developing, and maintaining data pipelines and ML infrastructure.

Responsibilities:

• Collaborate closely with our engineering, analytics, data science, and product teams as we take our machine learning projects and infrastructure to the next level
• Right at the start you will be contributing to existing ML projects, creating and maintaining the data pipelines they need, and communicate the results to the organization
• You will own all of the data and ML processes you create
• You will become the expert on our machine learning and data infrastructure and make critical decisions in our path forward
• You will have the opportunity to grow your skill set and take part in projects at the forefront of GenAI, ML, and data science in the logistics industry

Requirements:

• Experience designing and implementing ML models and maintaining relevant data in AWS
• Experience working with DevOps to enable your team access to the tools they need
• Contributing to every part of the machine learning product lifecycle
• Proven track record of implementing data engineering best practices in all aspects of the data pipeline, i.e. ETL, data integrity, and monitoring
• Demonstrable proficiency with Python, dbt, SQL, and modern ML tooling
• Experience working with large-scale data model refactoring for better performance, interpretability, and maintainability
• Experience with version control tools (GitHub, GitLab) and Agile methodologies
• Experience with agentic tooling and pipelines including LangChain, LangGraph, and LangSmith
• Bachelor's Degree in a quantitative field such as Physics, Engineering, Computer Science, or demonstrated equivalent quantitative experience
• Excellent communication skills to effectively collaborate with different teams within the engineering org