Audio AI Engineer

📋 Description

• Ingest, clean, label multilingual audio data for ASR on-device use.
• Fine-tune and compress large models to fit iPhone constraints.
• Package language-specific weights for on-demand deployment.
• Handle loanwords and transliteration decisions in transcripts.
• Evaluate latency, accuracy, and robustness across languages.
• Document model cards and evaluation results for stakeholders.

🎯 Requirements

• Bachelor's degree in CS/DS/ML or related field.
• Strong data-engineering for large audio/text datasets.
• Experience fine-tuning/optimizing speech models (LoRA/QLoRA, quantization, distillation).
• ASR model development and multilingual evaluation with code-switching.
• Strong Python and SQL; experience with PyTorch, Hugging Face Transformers/PEFT, torchaudio, librosa.
• Production ML deployment and secure handling of data in regulated environments.

🎁 Benefits

• Generous and flexible time-off policy
• Flexible work schedules and telework options
• Career development and training opportunities
• Industry-leading benefits including health plans, FSA, commuter benefits
• 401K matching with company contribution
• Regular team events and social activities