Anthropic · 7 hours ago
Research Engineer, Audio
Friendly, MD
Full-time
Hybrid
Senior Level
$350K/yr - $500K/yrAnthropic is a public benefit corporation focused on creating reliable and interpretable AI systems. As a Research Engineer on the Audio team, you will work on developing audio codecs, training large-scale speech language models, and collaborating across various teams to advance audio technologies for real-world deployments.
Artificial Intelligence (AI)Foundational AIGenerative AIInformation TechnologyMachine Learning
Responsibilities
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
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
Qualification
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
Company
Anthropic
Anthropic is an AI research company that focuses on the safety and alignment of AI systems with human values.
Founded in 2021
501-1000 employees
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 StageTotal Funding
$33.74BKey Investors
Lightspeed Venture PartnersGoogleAmazon
2025-09-02Series F· $13B
2025-05-16Debt Financing· $2.5B
2025-03-03Series E· $3.5B
Leadership Team
Dario Amodei
CEO & Co-Founder
Daniela Amodei
President and co-founder
Recent News
Sherwood News
2026-01-16
The Express Tribune
2026-01-16
2026-01-16
Company data provided by crunchbase