Software Engineer, Abnormal AI

• Experience in Python, Spark, Databricks, Airflow, Django, Postgres
• Experience building data pipelines using PySpark
• Experience in “large-scale” solutions or environments with complex integrations, latency requirements, or throughput challenges
• Performance debugging and benchmarking
• Proven experience translating business requirements into software requirements and explaining the systems design
• Proven experience working effectively with cross-functional teams
• BS degree in Computer Science, Applied Sciences, Information Systems or other related engineering field
• 2+ years of professional production experience in fullstack development

Desirable

• This position represents a unique opportunity to contribute significantly to our mission of providing unparalleled detection capabilities worldwide
• The team’s mission revolves around empowering our detection team with high-quality data and cutting-edge tools, ensuring that all misclassifications can be easily assessed and analyzed
• The strategic approach encompasses the development of essential detection tools, improved misclassification comprehension, and enhanced communication with customers
• Enhance the speed and quality of detection systems development
• Power pipelines to process and respond to customer feedback responsibly
• Supply detection teams with top-notch, accurate data used for evaluating and training ml models
• Automate processes to improve customer responses
• Develop, design, modify, and test systems for enhanced data quality and understanding
• Collaborate with Technical Program Managers, Product Managers, Data Engineers, Data Scientists, and operational and engineering teams to implement, verify, and iterate on product development
• Exercise sound judgment in selecting methods and techniques for problem-solving
• Writes code with testability, readability, edge cases, and errors in mind
• Writes and reviews technical design documents