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Tier-1 brand, metro location, and early-mid experience increase competition, but ML specialization reduces applicant pool.
Specialized GenAI and ML infrastructure requirements make background fit highly domain-specific and less transferable.
Explicit years, mandatory ML infrastructure and ML-area experience impose stringent shortlisting filters.
Lead the technical transition from foundational AI research to real-time production for a zero-to-one Generative AI creation engine.
Build and optimize sub-second 2D/3D asset pipelines and develop specialized foundation language models.
Design and implement autonomous agentic playtesting harnesses as part of AI/ML product development.
Bachelor’s degree or equivalent practical experience.
At least 2 years software development experience in programming languages or 1 year if holding an advanced degree.
Minimum 1 year experience in speech/audio processing, reinforcement learning, ML infrastructure, or other ML specialization.
At least 1 year experience with ML infrastructure components like model deployment, evaluation, and debugging.
Experienced in transitioning AI/ML research projects into production systems, especially in Generative AI.
Skilled in developing complex ML pipelines involving 2D/3D assets and foundation language models.
Comfortable working in advanced ML fields including speech technology, reinforcement learning, and ML infrastructure optimization.