Anthropic

Research Engineer/Research Scientist

Hybrid (25% office time)hybridUSD 350,000–500,000
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Skills

training audio modelsJAX, PyTorch or large-scale distributed trainingsignal processing fundamentalslarge language model pretraining and finetuningreinforcement learning for large language models and diffusion modelsend-to-end system optimization

About the role

Research Engineer/Research Scientist, Audio About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Anthropic’s Audio team pushes the boundaries of what's possible with audio with large language models. We care about making safe, steerable, reliable systems that can understand and generate speech and audio, prioritizing not only naturalness but also steerability and robustness. As a researcher on the Audio team, you'll work across the full stack of audio ML, developing audio codecs and representations, sourcing and synthesizing high quality audio data, training large-scale speech language models and large audio diffusion models, and developing novel architectures for incorporating continuous signals into LLMs

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