Senior Software Engineer

Summary

Join Motional's Data Mining team and spearhead new mining strategies and workflows to improve the performance of our autonomous driving vehicles. You will own large-scale mining workflows, build high-quality datasets for ML product improvement, and contribute to data processing pipelines. Rigorous error analysis across complex driving scenarios will be a key part of your role, providing statistical depth on model performance. This position requires a BS in computer science or a similar discipline and 5+ years of experience in architecting and shipping high-performance, large-scale distributed systems. The role offers the possibility of remote work within the United States and a competitive salary.

Requirements

• BS in computer science or similar discipline
• 5+ years of experience architecting and shipping high-performance & large-scale distributed systems
• Experience with core AWS services (S3, RDS, EMR, EKS, OpenSearch etc.)
• Experience with writing complex yet efficient SQL queries for data analysis purposes
• Experience with common DBMS (PostgreSQL, MySQL, MongoDB etc.)
• Experience with data warehousing and parquet data manipulation (e.g. Athena, Redshift, BigQuery)
• Experience with Spark, Beam, Kafka, Hadoop or other data processing tools
• Fluency in Python and experience on production-quality software development
• Solid software engineering principles (software design patterns, configuration management, source control, build processes, code reviews, testing methodologies, app containerization, continuous integration etc.)

Responsibilities

• Own large-scale mining workflows that surface rare objects, model errors & long-tail events
• Build high-quality datasets to improve ML products through training & edge case validation
• Contribute to data processing pipelines that fuel our in-house billion-scale image search engine
• Provide statistical depth on model performance & generalization through rigorous error analysis across complex driving scenarios

Preferred Qualifications

• MS/PhD in computer science, machine learning, statistics or computer vision
• Experience with at least one of the following ML techniques/models: Few-shot Learning, Metric Learning, Information Retrieval, Recommender Systems, Contrastive Learning, Semi-supervised Learning, Object Detection / Segmentation / Prediction
• Experience with data visualization tools (Redash, Looker, PowerBI, Tableau etc.)
• Experience with PyTorch or other deep learning frameworks
• Experience with A/B testing methodologies and metrics tracking systems
• Experience with machine learning in the autonomous driving domain
• Familiarity with autonomous driving sensors (cameras, lidar, radar, localization sensors etc.)

Benefits

• This position can support remote work within the United States
• Medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance