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Strong Tier-1 brand, metro location, mid-level generalist ML role, and broad stack requirements increase competition.
Role requires ML/AI and ML-infrastructure specialization, making cross-industry transferability limited.
Multiple explicit years requirements and mandatory ML/infra specializations create strict technical filters.
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Write, test, and maintain product or system development code focusing on specialized ML areas and leverage ML infrastructure.
Collaborate with peers through design and code reviews to ensure best practices in code quality and efficiency.
Triage and debug product or system issues impacting hardware, network, or service operations, and contribute to documentation and educational content updates.
Bachelor’s degree or equivalent practical experience.
5 years programming experience in Python or C++.
3 years experience with ML infrastructure and one or more ML specializations such as speech/audio or reinforcement learning.
3 years experience testing, maintaining, or launching software products plus 1 year in software design and architecture.
Experienced in specialized ML fields with strong expertise in ML infrastructure and scalable system design.
Demonstrated ability to collaborate in peer review processes and maintain high coding standards.
Capable of leading technical troubleshooting and adapting documentation based on evolving product needs.