Staff Research Engineer - Audio & Video AI
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The role
Lead end-to-end ML systems for multimodal audio and video applications, translating research into production-ready capabilities.
Collaborate with Research Scientists to prototype and validate new architectures, training methods, and evaluation strategies.
Own the design and deployment of scalable ML pipelines for training, fine-tuning, deployment, monitoring, and continuous evaluation.
Optimize large-scale models and infrastructure to improve latency, throughput, and resource efficiency across distributed environments.
Create and curate high-quality multimodal datasets, including annotation pipelines and standards for data quality, diversity, and evaluation.
Provide technical leadership and mentorship, aligning cross-functional teams and shaping long-term ML strategy.
Collaborate with Research Scientists to prototype and validate new architectures, training methods, and evaluation strategies.
Own the design and deployment of scalable ML pipelines for training, fine-tuning, deployment, monitoring, and continuous evaluation.
Optimize large-scale models and infrastructure to improve latency, throughput, and resource efficiency across distributed environments.
Create and curate high-quality multimodal datasets, including annotation pipelines and standards for data quality, diversity, and evaluation.
Provide technical leadership and mentorship, aligning cross-functional teams and shaping long-term ML strategy.
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