Senior Software Engineer, Data & Machine Learning Infrastructure

Mission Summary

At Motional, data plays a critical role in fueling our ML-centered autonomous driving vehicle. Our robo-taxi fleet collects petabytes of data on the road every day – the Data Mining team is mining & filtering the massive influx of fleet data by developing billion-scale data workflows and state-of-the-art mining algorithms. Through our Continuous Learning Framework we continuously improve the on-road performance of ML products for perception, prediction & planning with every mile driven.

We mine for model errors, anomalies, rare objects & long-tail driving scenarios across millions of driving hours – these are used for laser-focused ML model training and continuous edge case validation. We are looking for an engineer to spearhead new mining strategies & workflows and help deliver high-quality data that improve our core ML products.

Read more about Continuous Learning and Data Mining at Motional:

• Continuous Learning Framework
• Scenario Mining

What You'll Do:

• 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.

What We're Looking For:

• 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, Open Search etc.).
• Experience with writing complex yet efficient SQL queries for data analysis purposes.
• Experience with common DBMS (Postgre
  
  SQL, MySQL, Mongo
  
  DB etc.).
• Experience with data warehousing and parquet data manipulation (e.g. Athena, Redshift, Big Query).
• 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.).

Preferred, but not required:

• 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, Power
  
  BI, 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.).

This position can support remote work within the United States.

The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity.

Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.

Salary Range $155,300 — $207,000 USD

Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.

Our journey is always people first.

We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are…