Tech Lead, Android Core Product - Casablanca, Morocco
Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for diverse use cases. Deploy and operate the core ML inference workloads for the AI Voices serving pipeline. Introduce new techniques, tools, and architecture to improve the performance, latency, throughput, and efficiency of deployed models. Build tools to provide visibility into bottlenecks and sources of instability and design and implement solutions to address the highest priority issues.
Tech Lead, Android Core Product - Guadalajara, Mexico
Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to their customers for a diverse range of use cases; deploy and operate the core ML inference workloads for AI Voices serving pipeline; introduce new techniques, tools, and architecture to improve performance, latency, throughput, and efficiency of deployed models; build tools to gain visibility into bottlenecks and sources of instability and design and implement solutions to address the highest priority issues.
Tech Lead, Android Core Product - Cebu, Philippines
Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for a diverse range of use cases. Deploy and operate the core machine learning inference workloads for the AI Voices serving pipeline. Introduce new techniques, tools, and architecture to improve performance, latency, throughput, and efficiency of deployed models. Build tools to identify bottlenecks and sources of instability and design and implement solutions to address the highest priority issues.
Tech Lead, Android Core Product - Alexandria, Egypt
Work alongside machine learning researchers, engineers, and product managers to bring our AI Voices to their customers for a diverse range of use cases. Deploy and operate the core ML inference workloads for our AI Voices serving pipeline. Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our deployed models. Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues.
Tech Lead, Android Core Product - Nairobi, Kenya
Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for various use cases; deploy and operate core ML inference workloads for the AI Voices serving pipeline; introduce new techniques, tools, and architecture to improve performance, latency, throughput, and efficiency of deployed models; build tools to identify bottlenecks and sources of instability and design and implement solutions to address the highest priority issues.
Tech Lead, Android Core Product - Seongnam, South Korea
Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for diverse use cases. Deploy and operate the core ML inference workloads for the AI Voices serving pipeline. Introduce new techniques, tools, and architectures to improve the performance, latency, throughput, and efficiency of deployed models. Build tools for visibility into bottlenecks and sources of instability and design and implement solutions to address high priority issues.
Tech Lead, Android Core Product - Ankara, Turkey
Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for diverse use cases. Deploy and operate the core machine learning inference workloads for the AI Voices serving pipeline. Introduce new techniques, tools, and architecture to improve performance, latency, throughput, and efficiency of deployed models. Build tools to identify bottlenecks and sources of instability and design and implement solutions to address the highest priority issues.
Tech Lead, Android Core Product - Istanbul, Turkey
Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for a diverse range of use cases. Deploy and operate the core machine learning inference workloads for the AI Voices serving pipeline. Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of deployed models. Build tools to provide visibility into bottlenecks and sources of instability, then design and implement solutions to address the highest priority issues.
Tech Lead, Android Core Product - Porto Alegre, Brazil
Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for a diverse range of use cases. Deploy and operate the core ML inference workloads for the AI Voices serving pipeline. Introduce new techniques, tools, and architecture to improve the performance, latency, throughput, and efficiency of deployed models. Build tools to provide visibility into bottlenecks and sources of instability and design and implement solutions to address the highest priority issues.
Tech Lead, Android Core Product - Yogyakarta, Indonesia
Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for a diverse range of use cases. Deploy and operate the core machine learning inference workloads for the AI Voices serving pipeline. Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of deployed models. Build tools to provide visibility into bottlenecks and sources of instability and design and implement solutions to address the highest priority issues.
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