Software and Data Infrastructure Team

The SDI Team is a key enabler of the May Mobility mission, operationalizing the experience of using autonomous technology for real people on real routes. We leverage automation and DevOps culture to build cloud infrastructure and developer productivity tools at scale. We provide the data backbone of the company, from raw log data on vehicles to consumers with varying needs. We build experiences for internal teams managing the fleet, external customers and passengers. Members of this tight-knit group act as a force multiplier for the company.

Your Opportunity to Drive Success

• Analyze, build, test, and implement models that utilize various and diverse data sets to solve problems related to autonomous and shared transportation
• Build and implement machine learning and statistical models that extract meaningful insights from vehicle data to power May Mobility’s data products
• Build data visualization, dashboards, and reports for internal and external customers
• Collaborate with data engineers on our real-time and historical data pipelines to enable our fleet to operate and facilitate continuous development of our system
• Define, build, and expand analytic tools for managing, searching, and analyzing vehicle datasets with internal and external partners
• Identify programmatic or data issues and build solutions
• Participate in new technology introduction initiatives for modern data tools and industry best practices

Required Qualifications:

• B.S. Degree in Engineering, Data Science, Math, Statistics, or an equivalent degree and 2 years of industry experience
• 2 years of experience designing, building, productizing and improving statistical and machine learning models
• Experience with a programming language, such as Python, R, SQL
• Experience working with databases, such as Postgres, MySQL, SQL Server
• Experience analyzing, evaluating and transforming data from multiple sources
• Attention to detail
• Written and verbal communication skills
• Experience with robotics, automotive engineering, or start-ups is not required
• Ability to undergo a driving record check

Desirable Qualifications:

• M.S. Degree in Engineering, Data Science, Math, Statistics, or an equivalent degree and 2 years of industry experience
• Expertise in Python, R, SQL
• Experience with Hadoop, Hive, Presto, Spark
• Familiarity with data visualization principles
• Experience with GIS
• BI Tool experience (e.g. AWS Quicksight, Tableau)
• Working knowledge of data structures and algorithms
• Working knowledge of telemetry systems and real-time data processing

Benefits and Perks

• Paid health benefits including vision and dental
• Unlimited paid vacation policy and generous holidays
• Significant stock options
• Daily catered lunches and snacks