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Audio Ai Engineer Jobs (NOW HIRING)

As Audio AI Engineer, you own the real‑time audio pipeline on the robot, the models that turn sound into meaning, and the voice interface that lets people speak to our humanoids the way they would ...

About David AI David AI is the first audio data research company. We bring an R&D approach to data ... About our Engineering team At David AI, our engineers build the pipelines, platforms, and models ...

About David AI David AI is the first audio data research company. We bring an R&D approach to data ... About our Engineering team At David AI, our engineers build the pipelines, platforms, and models ...

About David AI David AI is the first audio data research company. We bring an R&D approach to data ... About our Engineering team At David AI, our engineers build the pipelines, platforms, and models ...

About David AI David AI is the first audio data research company. We bring an R&D approach to data ... About our Engineering team At David AI, our engineers build the pipelines, platforms, and models ...

Product Engineer, Backend

San Francisco, CA · On-site

$165K - $225K/yr

About David AI David AI is the first audio data research company. We bring an R&D approach to data ... About our Engineering team At David AI, our engineers build the pipelines, platforms, and models ...

Product Engineer, Frontend

San Francisco, CA · On-site

$165K - $225K/yr

About David AI David AI is the first audio data research company. We bring an R&D approach to data ... About our Engineering team At David AI, our engineers build the pipelines, platforms, and models ...

About David AI David AI is the first audio data research company. We bring an R&D approach to data ... About our Engineering team At David AI, our engineers build the pipelines, platforms, and models ...

Full-Stack Engineering, Audio AI, Data Infrastructure, AI/ML Tooling Experience: 6+ years About Our Client Our client is building the data infrastructure behind the next generation of audio AI. The ...

New

Sr. AI Engineer (Speech)

Bay, AR · On-site +1

$117K - $155K/yr

Your Role As a Sr. AI Engineer: Speech, you'll be a senior technical leader on our Speech Team ... Lead research, adaptation, and implementation of ASR/STT, speech-enhancement, and related audio ...

Deployment Strategist

New York, NY · On-site

$145K - $175K/yr

As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This is where David AI comes in. David AI was founded in 2024 by a team of former Scale AI engineers and ...

Design and build conversational and audio AI experiences using STT, TTS, LLMs, audio understanding ... Bachelor's degree in Computer Science, Software Engineering, AI/ML, or a related technical field ...

Full-Stack Engineering, Audio AI, Data Infrastructure, AI/ML Tooling Experience: 6+ years About Our Client Our client is building the data infrastructure behind the next generation of audio AI. The ...

New

Full-Stack Engineering, Audio AI, Data Infrastructure, AI/ML Tooling Experience: 6+ years About Our Client Our client is building the data infrastructure behind the next generation of audio AI. The ...

New

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Audio Ai Engineer information

See salary details

$29.5K

$84.5K

$171.5K

How much do audio ai engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for audio ai engineer in the United States is $84,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $113,000.00 per year, depending on experience, location, and employer.

What cities are hiring for Audio Ai Engineer jobs?

Cities with the most Audio Ai Engineer job openings:

What states have the most Audio Ai Engineer jobs?

States with the most job openings for Audio Ai Engineer jobs include:

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Infographic showing various Audio Ai Engineer job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $84,456 per year, or $40.6 per hour.

Audio AI Engineer (human)

On-site

Other

Posted 9 days ago


Job description

Hearing is essential to how a robot understands and responds to the world. At NEURA Robotics, audio is a first-class modality: spoken instructions, contact sounds, and ambient cues all inform autonomous action. As Audio AI Engineer, you own the real‑time audio pipeline on the robot, the models that turn sound into meaning, and the voice interface that lets people speak to our humanoids the way they would to another person.

The role can emphasize conversational AI, audio ML modeling, or embedded audio DSP. We expect depth in at least one area and breadth across the others; you will lead where strongest and collaborate with AI and hardware teams on the rest.

Your mission & challenges
  • Voice Interaction Stack: You build and own the edge‑to‑cloud hybrid automatic speech recognition, text‑to‑speech, wake‑word, voice activity detection, and natural language understanding pipelines that connect the human voice to our robot's cognitive core, optimizing for low latency, multi‑speaker scenarios, and noisy real‑world environments.
  • Audio Encoder Research: You design, train, and integrate audio encoders that feed our foundation models, and develop the ambient and contact‑acoustic event recognition that gives our robot situational awareness.
  • Real‑Time Audio Pipeline: You architect the shared audio substrate from microphones to model input - acquisition, denoising, beamforming, source separation, and tight synchronization with vision and proprioception streams - and optimize it for our on‑robot compute and latency budgets.
  • Models, Data & Evaluation: You evaluate, fine‑tune, and deploy state‑of‑the‑art models across speech and general audio, drive data collection from real deployments, and build the evaluation infrastructure that turns recordings into measurable model improvements.
  • Sensor Strategy & Integration: You help select and qualify audio hardware (mic arrays, contact and tactile microphones, ADC frontends) with the hardware team, define calibration and mounting requirements, and ensure clean integration with the AI, hardware, and agentic stacks.
What we can look forward to
  • An excellent Master's or PhD in Computer Science, Electrical Engineering, Computational Linguistics, or a related field.
  • 3+ years of professional experience in audio‑related AI engineering.
  • A proven track record: your projects show measurable impact, whether through publications, shipped systems, or both.
  • Depth in at least one of the following, with curiosity and breadth across the others:
    • Conversational AI: ASR, TTS, NLP/NLU, dialogue systems, real‑time speech systems with LLMs.
    • Audio ML modeling: audio representation learning, multimodal / VLA foundation models with an audio branch, generative audio.
    • Embedded audio DSP: real‑time signal processing, mic‑array processing, low‑level audio I/O, quantized inference for on‑device deployment.
  • Strong programming skills in Python; solid C/C++ a plus for real‑time and on‑device work.
  • Familiarity with ROS or robotics middleware is a plus.
  • Experience with agentic frameworks and LLM tool‑use is a plus.
  • Experience with audio simulation, room acoustics, or spatial audio is a plus.
  • Hands‑on experience setting up audio recording equipment for ML data collection (microphone selection, placement, calibration) is nice to have.
  • Team spirit, initiative, and the ability and willingness to explore new paths.
  • Excellent English skills; German is optional but welcome.
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