Key job responsibilities- Implement efficient and robust services to support ML model deployment and inference at sub millisecond latency.- Conduct thorough code reviews, ensuring reliability, efficiency, and maintainability of solutions.
- Develop and run regular A/B testing infrastructure, ensuring accuracy and scalability in experiments.
Mentorship & Career Growth
- Experience (non-internship) in professional software development
- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
- Experience programming with at least one software programming language
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
- Bachelor's degree in computer science or equivalent
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
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