Machine Learning Engineer
Employment Information
Job Description
Machine Learning Engineer at Shipwell building and scaling AI-powered logistics solutions. Designing and maintaining data pipelines while collaborating with cross-functional teams to enhance machine learning capabilities.
Responsibilities:
- As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building and scaling our AI-powered logistics solutions.
- You'll design, develop, and maintain the data pipelines and ML infrastructure that power our autonomous digital workers and drive data-driven decision-making across the organization.
- 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.
- You'll optimize our AWS infrastructure, establish data integrity standards, and create scalable architectures that enable research teams to access the data they need.
- Working closely with engineering, analytics, data science, and product teams, you'll take our machine learning capabilities to the next level.
- 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.
- You'll own the processes you create and have the opportunity to grow your skills while revolutionizing how the supply chain operates.
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
Benefits:
- Unlimited Paid Time Off (PTO)
- A robust healthcare package that includes medical, dental & vision benefits, short-term and long-term disability, AD&D coverage, and flexible/health savings accounts
- 401K program where Shipwell matches up to 4%
- All employees receive stock options
- A yearly learning and development budget
- Subsidized internet, cell phone, fitness, and educational reimbursements
- Virtual team-building events where fun and connection take center stage
- Join a vibrant, inclusive workplace shaped by friendly, talented individuals
- Receive a technology package, including a MacBook Pro
- Employee Recognition Program to celebrate and incentivize hard work and success!
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