Audio AI Engineer

Job Summary

To support a national security mission, the full-time Audio AI Engineer will optimize and adapt multilingual speech-to-text models for mobile devices, ensuring high performance and accuracy while collaborating with mobile engineering teams.

Key Responsibilities

• Ingest, clean, segment, label, and version multilingual audio and transcript data, focusing on code-switching and borrowed-word phenomena
• Fine-tune and compress large ASR models to meet iPhone-class memory, latency, and battery constraints while maintaining transcription quality
• Design model packaging for dynamic, per-language deployment based on use-case context and build evaluation pipelines to assess model performance

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Machine Learning, Computational Linguistics, or a closely related field
• Strong data-engineering background with experience in building production pipelines for large audio/text datasets
• Hands-on experience fine-tuning or adapting speech/audio models using parameter-efficient methods and model compression techniques
• Practical experience with ASR/speech-to-text model development and evaluation across multiple languages
• Strong Python and SQL skills; familiarity with PyTorch, Hugging Face Transformers/PEFT, and related tools