Machine Learning Engineer - Remote

Overview

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.

In Short

• 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

Requirements

• 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

Benefits

• Competitive compensation packages
• 100% covered health insurance premiums for yourself
• 401k with company match
• Tuition and student loan repayment assistance
• Flexible work schedule with unlimited PTO
• Monthly 3-day weekends
• Monthly WFH stipend
• Paid sabbatical leave for tenured team members
• The technology you need to get the job done