Research Scientist

Há 3 dias

São Paulo, São Paulo, Brasil beBeeresearch Tempo inteiro US$120.000 - US$200.000

We are seeking a talented AI Research Engineer to join our team of experts. This is an exciting opportunity to work on cutting-edge projects and drive innovation in the field of artificial intelligence.

As an AI Research Engineer, you will be responsible for designing and deploying state-of-the-art model serving architectures that deliver high throughput and low latency while optimizing memory usage. You will also establish clear performance targets and build, run, and monitor controlled inference tests in both simulated and live production environments.

The ideal candidate will have a deep understanding of modern model serving architectures and inference optimization techniques, including state-of-the-art methods for achieving low-latency, high-throughput performance, and efficient memory management in diverse, resource-constrained deployment scenarios.

You will work closely with cross-functional teams to integrate optimized serving and inference frameworks into production pipelines designed for edge and on-device applications. Your contributions should have led to measurable improvements in inference latency, throughput, and memory footprint for domain-specific applications, particularly on resource-constrained devices and edge platforms.

In this role, you will have the opportunity to apply empirical research to overcome challenges in model serving, such as latency optimization, computational bottlenecks, and memory constraints. You should be proficient in designing robust evaluation frameworks and iterating on optimization strategies to continuously push the boundaries of inference performance and system efficiency.

To succeed in this position, you will need to have a strong background in computer science or a related field, with a solid track record in AI R&D (with good publications in A* conferences). Experience in low-level kernel optimizations and inference optimization on mobile devices is essential. Strong expertise in writing CPU and GPU kernels for mobile devices, as well as a deep understanding of model serving frameworks and engines, is required.

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