Roadie, a UPS Company, is a logistics management and crowdsourced delivery platform. Founded in 2014, Roadie offers businesses fast, flexible and asset-light logistics solutions for last-mile delivery. Roadie enables local delivery to more than 95% of U.S. households by providing access to more than 200,000 independent drivers nationwide – allowing businesses to offer their customers delivery optionality for almost any industry, from airlines to artisans.
As a Machine Learning Engineer at Roadie, you will build algorithms and models that run our core systems, from matching deliveries and drivers in a two-sided market, to routing optimizations and dynamic pricing schemes. Collaborating with Software Engineers and Data Scientists, you will create technology that solves real-world problems in the crowdsourced delivery space. This position will initially be focused on machine learning capabilities with marketplace pricing.
What You’ll Do
- Design, build and maintain new machine learning pipelines at the intersection of crowdsourced systems and logistics
- Creatively apply the state of the art in machine learning to optimize Roadie’s automated decision-making
- Build new pricing solutions for our expanding delivery marketplace
- Work with engineering, product and design on a cross functional team to implement the pipelines in a production environment
- Advocate for data driven decision making throughout the company
What You Bring
- MS or PhD in Machine Learning, Artificial Intelligence, Statistics, Computer Science, Operations Research or a related field
- 2+ years of experience with applied machine learning
- Extensive hands-on experience with Python and SQL
- Expertise in machine learning algorithms (unsupervised and supervised) and statistical methods
- Experience in evaluating model performance
- Experience using machine learning in the context of logistics
- Familiarity with libraries such as Pandas, Numpy, Scikit-Learn, SciPy, PyTorch, Tensorflow, Keras and related
- Understanding of modern deep learning techniques such as CNN, RNN
- Ability to effectively articulate technical challenges and solutions to multiple audiences
Bonus
- Experience with graph algorithms
- Experience with combinatorial or nonlinear optimization techniques
- Experience with containers, Docker, or Kubernetes
- Experience with cloud environments such as AWS, GCP, or Azure
- Experience building machine learning pipelines and full loop machine learning systems
- Experience with dynamic programming, approximate dynamic programming, and/or optimal control theory
Why Roadie?
- Competitive compensation packages
- 100% covered health insurance premiums for yourself
- 401k with company match
- Tuition and student loan repayment assistance (that’s right - Roadie will contribute directly to your existing student loans!)
- Flexible work schedule with unlimited PTO
- Monthly 3-day weekends
- Monthly WFH stipend
- Paid sabbatical leave- tenured team members are given time to rest, relax, and explore
- The technology you need to get the job done
This role is not eligible for Visa sponsorship. Applicants must be authorized to work for any employer in the U.S.
Top Skills
What We Do
Roadie is the nation’s first “on the way” crowdsourced delivery platform. Roadie works with consumers, small businesses and big global brands across virtually every industry to provide a faster, cheaper, more scalable solution for scheduled, same-day and urgent delivery. With more than 200,000 active drivers nationwide, Roadie reaches more than 11,000 cities and 20,000 zip codes – the largest local same-day delivery footprint in the nation.
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