Research Engineer/Research Scientist, Audio jobs in United States
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Anthropic · 2 days ago

Research Engineer/Research Scientist, Audio

Anthropic is a public benefit corporation focused on creating reliable and interpretable AI systems. They are seeking a Research Engineer/Research Scientist for their Audio team to develop and optimize audio models and systems, ensuring they are safe, steerable, and beneficial. The role involves working across various audio ML tasks, collaborating with teams to push the boundaries of audio technologies.

Artificial Intelligence (AI)Foundational AIGenerative AIInformation TechnologyMachine Learning
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H1B Sponsorednote

Responsibilities

Develop audio codecs and representations
Source and synthesize high quality audio data
Train large-scale speech language models and large audio diffusion models
Develop novel architectures for incorporating continuous signals into LLMs
Build advanced steerable systems spanning end-to-end conversational systems, speech and audio understanding models, and speech synthesis capabilities
Collaborate closely with teams across pretraining, finetuning, reinforcement learning, production inference, and product to get advanced audio technologies from early research to high impact real-world deployments

Qualification

Audio model trainingJAXPyTorchLarge-scale distributed trainingSpeech recognitionSpeech synthesisConversational AIReinforcement learningCollaborationCommunication

Required

Have hands-on experience with training audio models, whether that's conversational speech-to-speech, speech translation, speech recognition, text-to-speech, diarization, codecs, or generative audio models
Genuinely enjoy both research and engineering work, and you'd describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other
Are comfortable working across abstraction levels, from signal processing fundamentals to large-scale model training and inference optimization
Have deep expertise with JAX, PyTorch, or large-scale distributed training, and can debug performance issues across the full stack
Thrive in fast-moving environments where the most important problem might shift as we learn more about what works
Communicate clearly and collaborate effectively; audio touches many parts of our systems, so you'll work closely with teams across the company
Are passionate about building conversational AI that feels natural, steerable, and safe
Care about the societal impacts of voice AI and want to help shape how these systems are developed responsibly
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience

Preferred

Large language model pretraining and finetuning
Training diffusion models for image and audio generation
Reinforcement learning for large language models and diffusion models
End-to-end system optimization, from performance benchmarking to kernel optimization
GPUs, Kubernetes, PyTorch, or distributed training infrastructure

Benefits

Equity and benefits
Optional equity donation matching
Generous vacation and parental leave
Flexible working hours
A lovely office space in which to collaborate with colleagues

Company

Anthropic

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Anthropic is an AI research company that focuses on the safety and alignment of AI systems with human values.

H1B Sponsorship

Anthropic has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (105)
2024 (13)
2023 (3)
2022 (4)
2021 (1)

Funding

Current Stage
Late Stage
Total Funding
$33.74B
Key Investors
Lightspeed Venture PartnersGoogleAmazon
2025-09-02Series F· $13B
2025-05-16Debt Financing· $2.5B
2025-03-03Series E· $3.5B

Leadership Team

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Dario Amodei
CEO & Co-Founder
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Daniela Amodei
President and co-founder
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Company data provided by crunchbase