Machine Learning Engineer, Shipwell
$130-163k
+ stock options + bonus
Data-driven connectivity platform for modernizing shipping
Be an early applicant
Data-driven connectivity platform for modernizing shipping
21-100 employees
Be an early applicant
$130-163k
+ stock options + bonus
21-100 employees
Company mission
To empower companies to efficiently scale their supply chain, no matter their size, stage or industry.
Role
Who you are
- 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 the job involves
- 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
- 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
Our take
The existing infrastructure of the U.S. shipping industry is becoming antiquated, with the complexity of shipping logistics being siloed and requiring manual organization. Shippers must directly communicate with freight companies to organize their shipping logistics, in addition to organizing and paying drivers and managing vehicle fleets en-masse.
Shipwell provides an online marketplace and toolkit to help companies manage the booking, organization, and analysis of their shipping systems through an all-in-one service. The aim of the company is to improve the customer's ability to upscale their business and shipping fleets through automation and data insights.
Shipping management software is on the rise, so Shipwell finds itself within a competitive market. However, the company had a very successful 2024, having been recognized as a Challenger in the 2024 Gartner® Magic Quadrant™ for Transportation Management Systems (TMS), as well as experiencing exceptional growth. Going forward, the company remains focused on delivering even greater value for its customers, and with 16 consecutive quarters of growth since its launch, it's sure to continue impressing.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
1% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Oct 2019
$35m
SERIES B
Oct 2018
$10m
SERIES A
Total funding: $47m
Company benefits
- Healthcare: Shipwell offers Medical, Dental, Vision, HSA, FSA, Critical Illness, Accident, Life Insurance and more
- Parental Leave: 4 weeks of fully paid parental leave to care for the newest member of your family
- Flexible time off: Take the time you need outside of work to reset, relax and enjoy life
- Learning & Development: Grow in your career and skills with our education reimbursement program
- Remote-forward: Enjoy the flexibility of working remotely, in-office or both. Choose the work environment that best suits you
- Extra perks: Cell phone and home WiFi reimbursement automatically included in your paychecks
- 401(k): Shipwell offers traditional 401(k) and Roth plans with matching
- Mental Wellness: We have an Employee Assistance Program (EAP) and encourage employees to take mental health days
Company HQ
Sixth Street Historic District, Austin, TX
Leadership
Gregory Price
(Co-Founder & CEO)Having studied for a Master's at MIT, they worked as an MIT Research Fellow for Quest Diagnostics and spent 2 years as a McKinsey Consultant. They left this role in August 2016 to co-found Shipwell as CEO.
Share this job
View 2 more jobs at Shipwell