Senior AI Audio Scientist: LALMs & S2S (Remote)

Centific; Redmond (WA); Hybrid; USD 150,000 - 160,000; Full time

Benefits offered by this job

Benefits package

Hybrid/Remote options

GPU infrastructure access

Job summary

Centific, Redmond‑based AI research company, is seeking an AI Engineer: Speech/Audio to advance LALMs and S2S systems. You will work at the intersection of cutting‑edge research and production, designing spoken language models that understand, reason over, and generate audio with human‑like capabilities.

Join world‑class researchers and engineers, shape the technical direction in audio‑native AI, and contribute to publications; strong background in Python, PyTorch, and audio processing is

Qualifications

• Master's degree in CS/EE or related field; PhD preferred.
• 2+ years in speech/audio AI, LLMs, or multimodal systems.
• Publications, patents, or shipped products in the field.

Responsibilities

• Design and deploy Large Audio Language Models for native audio understanding and generation.
• Develop Large Audio Reasoning Models with chain-of-thought reasoning for audio inputs.
• Contribute to Speech-to-Speech systems including synthesis components.
• Research alignment between speech encoders and LLM backbones using adapters and LoRA.
• Optimize inference pipelines for low-latency, streaming speech applications.
• Collaborate with teams to transfer research into production and publish results.

Skills

Python

PyTorch

Transformers

Speech processing

Multimodal learning

Research communication

Education

Master's degree in Computer Science or Electrical Engineering

Tools

GPU-accelerated training

Job description

Centific, Redmond‑based AI research company, is seeking an AI Engineer: Speech/Audio to advance LALMs and S2S systems. You will work at the intersection of cutting‑edge research and production, designing spoken language models that understand, reason over, and generate audio with human‑like capabilities.

Join world‑class researchers and engineers, shape the technical direction in audio‑native AI, and contribute to publications; strong background in Python, PyTorch, and audio processing is