The Data Services team is integrated with perception and machine learning to mine logs, find interesting events, and turn useful data into impacting ML approaches.
Responsibilities:
Work with backend engineers and end users to build libraries & CLI tools to empower our machine learning and perception software developers and research scientists.
Build scalable data pipelines for data mining and analytics.
Build and manage various workflows to support daily development.
Provide technical strategy and expertise across the open world mining team and others
Build algorithms for automating analytics for large autonomous vehicle powered data set
Build AWS infrastructure to deploy scripts in large scale and view results across multiple teams
Required
Bachelor's degree or higher - Computer Science or equivalent field
Strong Python skills.
5+ years professional work experience as a software engineer. (6+ for senior)
5+ years experience working with Linux. (6+ for senior)
3+ years AWS experience, or equivalent GCP, Azure. (4+ for senior)
Experience with ETL or large scale data processing
Experience with scalability
Ability to learn quickly and multi-task in a fast-paced, dynamic environment
Bonus
Expert in one or more object-oriented programming languages - C++, C# or Java
Experience with deployment using Docker, REST API, CI/CD
Experience with data warehousing systems(BigQuery, Redshift, Snowflake etc).
This job is no longer open
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