Act as the technical owner for enterprise customer post-training engagements involving audio and speech workloads
Translate customer requirements into concrete post-training specifications for ASR, TTS, and speech-to-speech tasks
Design and execute data generation, preprocessing, augmentation, and quality filtering processes for audio corpora
Fine-tune and adapt audio/speech models for customer-specific use cases, owning delivery from requirements through deployment
Design task-specific evaluations for audio model performance (noise robustness, speaker variation, latency) and interpret results
Build reusable applied tooling and workflows that accelerate future customer engagements

Hands-on experience with data generation and evaluation for ML model post-training
Experience training or fine-tuning models using SFT, preference alignment, and/or RL
Strong intuition for data quality and evaluation design
Experience with speech or audio ML models (ASR, TTS, audio understanding, vocoders, or speech-to-speech systems)
Proficiency in Python and PyTorch with autonomous coding and debugging ability
Experience with audio data pipelines at scale (preprocessing, augmentation, quality filtering)
Experience delivering applied ML work to external customers with measurable outcomes
Familiarity with on-device deployment under latency and memory constraints

Competitive base salary with equity in a unicorn-stage company
We pay 100% of medical, dental, and vision premiums for employees and dependents
401(k) matching up to 4% of base pay
Unlimited PTO plus company-wide Refill Days throughout the year

Member of Technical Staff – Post Training, Applied, Audio

Key skills