Senior Machine Learning Engineer
Core
Designing, evaluating, and optimizing speech-oriented AI models (ASR, TTS, speech-to-speech) for the Cognigy platform, focusing on rigorous measurement of quality, cost, and latency.
Role type
Senior Machine Learning Engineer (Speech AI Evaluation & Optimization)
Builds
Speech AI models and evaluation frameworks for the Cognigy conversational AI platform
Domain
Speech AI, Conversational AI, Cloud Infrastructure
Deliverable
production ML models
Required skills
Speech AI systems expertise (ASR, TTS, speech-to-speech), evaluation methodology design, quantitative analysis, Python, cloud infrastructure (AWS/Azure/GCP), model optimization (LoRA/PEFT, quantization, SGLang/vLLM), GPU cost modeling
Preferred skills
Multi-language model evaluation, multi-cloud deployment, latency/cost optimization techniques, contact center or conversational AI platform experience, global team collaboration
Technologies
Python, AWS, Azure, GCP, SGLang, vLLM, LoRA, PEFT
Responsibilities
Design and maintain a speech-oriented test suite covering quality, cost, and latency; Monitor the industry for state-of-the-art transcription and speech-to-speech models; Design and evaluate techniques to optimize speech model usage for operational deployment; Produce clear, quantitative evaluation reports and model recommendations; Contribute to the broader model evaluation framework; Stay informed of advances in speech AI technologies
Seniority
Senior, hands-on IC
