Propio Language Services is a leading provider of multilingual interpretation, translation, and localization services operating at scale across healthcare, legal, and other industries. This on-site role is based in Overland Park, Kansas, United States, and we are hiring a Senior Machine Learning Engineer, Speech & LLM Training Data to transform large volumes of multilingual conversational audio into high-quality training and evaluation datasets. This hands-on role oversees audio processing, dataset curation, annotation and QA workflows, model training, and evaluation for multilingual speech, translation, and conversational AI systems.

Key responsibilities: - Define the data roadmap for multilingual speech, translation, multimodal LLMs, and conversational AI. - Build audio-processing pipelines covering resampling, channel handling, VAD, diarization, language identification, transcription, alignment, and quality filtering. - Build dataset pipelines for cleaning, deduplication, PII/PHI redaction, quality scoring, sampling, balancing, versioning, and lineage. - Design annotation guidelines, QA rubrics, golden datasets, and reviewer workflows. - Build evaluation datasets, analyze model failures, and translate performance gaps into targeted data improvements. - Run training, fine-tuning, post-training, and evaluation experiments, including SFT, preference data, DPO/RLHF-style workflows, and synthetic data generation. - Productionize secure, traceable, and reproducible data and ML workflows on AWS.

Propio Language Services is a leading provider of multilingual interpretation, translation, and localization services operating at scale across healthcare, legal, and other industries. This on-site role is based in Overland Park, Kansas, United States, and we are hiring a Senior Machine Learning Engineer, Speech & LLM Training Data to transform large volumes of multilingual conversational audio into high-quality training and evaluation datasets. This hands-on role oversees audio processing, dataset curation, annotation and QA workflows, model training, and evaluation for multilingual speech, translation, and conversational AI systems.

Key responsibilities: - Define the data roadmap for multilingual speech, translation, multimodal LLMs, and conversational AI. - Build audio-processing pipelines covering resampling, channel handling, VAD, diarization, language identification, transcription, alignment, and quality filtering. - Build dataset pipelines for cleaning, deduplication, PII/PHI redaction, quality scoring, sampling, balancing, versioning, and lineage. - Design annotation guidelines, QA rubrics, golden datasets, and reviewer workflows. - Build evaluation datasets, analyze model failures, and translate performance gaps into targeted data improvements. - Run training, fine-tuning, post-training, and evaluation experiments, including SFT, preference data, DPO/RLHF-style workflows, and synthetic data generation. - Productionize secure, traceable, and reproducible data and ML workflows on AWS.