Research EngineerResearch Scientist, Audio

About Anthropic

Anthropics 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.

Anthropics Audio team pushes the boundaries of whats 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 youll 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.

Our team focuses primarily but not exclusively on speech building advanced steerable systems spanning end-to-end conversational systems speech and audio understanding models and speech synthesis capabilities. The team works closely with many collaborators across pretraining finetuning reinforcement learning production inference and product to get advanced audio technologies from early research to high impact real-world deployments.

You may be a good fit if you:

• Have hands-on experience with training audio models whether thats 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 youd 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 youll 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

Strong candidates may also have experience with:

• 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

Representative projects:

• Training state-of-the art neural audio codecs for 48 kHz stereo audio
• Developing novel algorithms for diffusion pretraining and reinforcement learning
• Scaling audio datasets to millions of hours of high quality audio
• Creating robust evaluation methodologies for hard-to-measure qualities such as naturalness or expressiveness
• Studying training dynamics of mixed audio-text language models
• Optimizing latency and inference throughput for deployed streaming audio systems

Logistics

Education requirements: We require at least a Bachelors degree in a related field or equivalent experience.

Location-based hybrid policy: Currently we expect all staff to be in one of our offices at least 25% of the time. However some roles may require more time in our offices.

Visa sponsorship:We do sponsor visas! However we arent able to successfully sponsor visas for every role and every candidate. But if we make you an offer we will make every reasonable effort to get you a visa and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy so we urge you not to exclude yourself prematurely and to submit an application if youre interested in this work. We think AI systems like the ones were building have enormous social and ethical implications. We think this makes representation even more important and we strive to include a range of diverse perspectives on our team.

Your safety matters to us.To protect yourself from potential scams remember that Anthropic recruiters only contact you addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money fees or banking information before your first day. If youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

How were different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact advancing our long-term goals of steerable trustworthy AI rather than work on smaller and more specific puzzles. We view AI research as an empirical science which has as much in common with physics and biology as with traditional efforts in computer science. Were an extremely collaborative group and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic including: GPT-3 Circuit-Based Interpretability Multimodal Neurons Scaling Laws AI & Compute Concrete Problems in AI Safety and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits optional equity donation matching generous vacation and parental leave flexible working hours and a lovely office space in which to collaborate with colleagues. Guidance on Candidates AI Usage:Learn aboutour policyfor using AI in our application process