AI Research Engineer- Speech 1

What you'll do

• Design and develop audio language and reasoning models, including speech understanding, reasoning, and generation.
• Build speech-to-speech systems, evaluation frameworks, and efficient low-latency inference pipelines.
• Align speech encoders with LLMs, optimize audio representations, and collaborate on production deployment and research documentation.

What they ask for

• Master's degree in Computer Science, Electrical Engineering, or a related field focused on speech, audio ML, or multimodal learning; Ph.D. preferred.
• 2+ years of industry or applied research experience in speech/audio AI, Large Language Models, or multimodal systems.
• Applied research contributions through publications, patents, or shipped products in speech/audio AI or LLMs.
• Proficiency in Python and PyTorch, GPU-accelerated large-scale model training, and understanding of speech/audio processing and modern LLM architectures.

Nice to have

• Publications at top-tier venues in audio language models, speech reasoning, or multimodal learning.
• Experience building or fine-tuning Large Audio Language Models, speech representation models, or Speech-to-Speech components.

Pay

$150-$160k USD annually (base salary)

Tools

Python, PyTorch, CUDA, torchaudio/librosa, Hugging Face Transformers, LoRA, FastAPI/gRPC, ONNX/TensorRT

AI focus

Research and engineering for Large Audio Language Models, audio reasoning, and Speech-to-Speech systems, including model alignment, speech tokenization, evaluation, and optimized inference.