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Tier-1 employer, mid-level generalist senior SWE in metro with broad ML and infra skills.
Heavy ML and large-scale data infrastructure focus limits cross-industry transferability.
Explicit multi-year software, testing, and design experience requirements increase selection strictness.
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Design and develop infrastructure for continuous learning loops to process interaction telemetry for real-time data optimizations.
Apply machine learning and algorithmic solutions to automate quality improvements and recognize patterns in interaction data.
Collaborate with teams to define data quality frameworks, partner feedback loops, and implement data governance policies for multiple data ownership types.
Bachelor’s degree or equivalent practical experience.
5 years of software development experience in one or more programming languages.
3 years experience in testing, maintaining, or launching software products; 1 year in software design and architecture.
Work Experience Required: 5+ years in software development as specified.
Experience in Information Retrieval, Machine Learning, or algorithmic solutions for real-time optimization and pattern recognition.
Familiarity with large-scale distributed data infrastructure (e.g., MapReduce, Flume, Spanner) and data governance frameworks.
Able to operate in ambiguous environments and bootstrap new product areas; actively leverages AI-assisted coding tools to enhance development speed.