Roadie
Atlanta
51-200 employees
Roadie is a crowdsourced delivery platform that enables urgent, same-day and local next day delivery of just about anything, anywhere, across the U.S.
Machine Learning Engineer
Machine Learning Engineer
This job is no longer open
Roadie, a UPS Company, is a crowdsourced delivery platform. Founded in 2014, Roadie works with consumers, small businesses and enterprises across virtually every industry to enable scheduled, same day and urgent delivery in passenger vehicles across the U.S. With more than 200,000 drivers nationwide, Roadie reaches more than 20,000 zip codes – the largest local same-day delivery network in the nation.
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 developers and data scientists, you will create technology solving real-world problems in the crowdsourced delivery space.
What You'll Be Doing
- Design, build and maintain new machine learning pipelines at the intersection of crowdsourced systems and logistics
- Perform exploratory data analysis to discover patterns and trends in data and use both supervised and unsupervised learning or simple algorithms to address requirements
- Write production code to solve problems and work cross functionally to understand and validate solutions
- Advocate for data driven decision making throughout the company
What You Bring
- Bachelor’s degree in Computer Science or Masters in Artificial Intelligence, Statistics, Computer Science or a related field
- 2+ years of hands-on experience with applied machine learning
- Extensive hands-on experience with Python and SQL
- Expertise in optimization, machine learning algorithms (unsupervised and supervised ) and statistical methods
- Experience in evaluating model performance
- Experience using 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 Spark and distributed machine learning
- 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
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
- The technology you need to get the job done
This job is no longer open