Senior Software Engineer/Data Scientist

The Team:

The Autonomy Integration Team, Performance Evaluation accelerates the progress of Motional’s autonomous vehicles by processing large-scale data into meaningful insights across the organization. Specifically, the AV system and subsystem metrics are used to guide the development and evaluation of our AI, machine learning, and other autonomous software features. Our dashboards and insights are used to guide strategic decisions across all levels, including senior leadership, and our data infrastructure provides always-available critical tools to research scientists and developers.  

What You’ll Be Doing:

• Drive the approach to analyze AV performance using data-backed statistical and ML methods for simulation and on-road data
• Develop new statistical analysis methods to analyze AV performance data, and establish confidence in the insights
• Establish correlation between on road and simulation data
• Make sense of large data sets to drive insights and communicate results
• Experience and deeply understand the product to identify and establish novel lenses through which we should be evaluating its performance
• Using simulation and on road data, develop new metrics, identify and investigate trends and anomalies. Collaborate with developers to drive action based on these results
• Establish a self service model for analysis such that developers understand the impact of their changes
• Be an advisor and influence collaborators across multiple teams, promote data aware decision making and establish best practices around use of data 
• Mentor and collaborate with Software Engineers and Data Scientists and foster a positive, collaborative work environment
• Drive the use of learned methods and models for performance evaluation
• 5-10% travel to operational sites to experience the product, and connect with teammates in person

What You Bring

• Computer Science, Computer Engineering, Data Science, Robotics, Physics, Mathematics or related Bachelor’s or higher degree, Master’s a plus.
• 5+ years of industry experience solving complex problems with large data sets 
• Strong Python and SQL skills & practices
• Experience applying advanced statistical and/or ML methods to drive insights from large and complex data sets
• Demonstrated experience with with statistical analysis, hypothesis testing, causal analysis and data analysis 
• Demonstrated ability to work independently with minimal guidance
• Proven track record of strong communication and interpersonal skills
• Demonstrated problem-solving skills and ability to think logically to remove bias from evaluating problems

Bonus Points

• Familiarity with C++
• Robotics development
• Data pipeline/engineering experience