Audio Generalist Evaluator Expert

As an Audio Generalist Evaluator Expert at Anthropic, you will be responsible for evaluating the audio quality and capabilities of Anthropic's large language models. This involves assessing the models' performance on a variety of audio-related tasks, such as audio generation, audio classification, audio enhancement, and more. You will work closely with our research and engineering teams to provide feedback and insights that will help improve the models' audio capabilities. Key responsibilities: - Evaluate the audio quality and capabilities of Anthropic's large language models across a range of audio-related tasks - Provide detailed feedback and insights to the research and engineering teams to help improve the models' audio performance - Collaborate with cross-functional teams to design and execute experiments and benchmarks for evaluating audio capabilities - Stay up-to-date with the latest advancements in audio-related AI and machine learning research - Contribute to the development of novel audio-related AI techniques and applications Required qualifications: - Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related technical field - Extensive experience in audio signal processing, audio analysis, and audio-related machine learning - Strong programming skills in Python and familiarity with popular audio processing libraries (e.g., PyTorch, TensorFlow, librosa) - Excellent analytical and problem-solving skills, with the ability to quickly understand and evaluate complex audio-related problems - Strong communication skills and the ability to effectively collaborate with cross-functional teams - Passion for the field of AI and a desire to push the boundaries of what's possible with large language models

Anthropic is an artificial intelligence research company that is developing safe and ethical AI systems to help solve important problems facing humanity. We are working on advancing the field of machine learning and natural language processing, with a focus on ensuring that AI systems are aligned with human values and interests.