Shipwell
Machine Learning Engineer
Remote Machine Learning Engineering role with clear candidate location fit.
PostedJul 1, 2026
Eligible countries3 accepted countries
Seniority signalSenior
Work settingRemote
Accepted candidate locations
CanadaMexicoUSA
Role overview
Machine Learning Engineer
Requirements and responsibilities
Readable role content extracted into sections for faster review.
What we’re looking for:
- 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
What you’ll do when you get here:
- 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
Why Shipwell:
- Enjoy working remotely with the added perk of a home office reimbursement
- 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!
Similar roles
Keep a backup shortlist.
Stack
Use these tags to compare similar remote roles.
Location eligibility
Candidates should apply only when their profile country is listed here.
Hiring flow
WithMira shows the role, then sends candidates to the company application.
1Check role fit, stack, and location eligibility in WithMira.
2Open the company application page from the tracked apply link.
3Save the role or subscribe for similar opportunities before leaving.