Machine Learning Researcher Engineer (NYC)
New York City, NY$150k - $300kFull-timePosted 2mo ago
About the role
Machine Learning Engineer / Researcher role at BoldVoice focused on developing and deploying ML models for AI coaching, pronunciation feedback, and accent detection, with emphasis on production-ready pipelines and real-time/batch inference for a speech/audio AI product.
Responsibilities
- Designing, training, and fine-tuning machine learning models for AI coaching, pronunciation feedback, and accent detection (including LLMs, speech models like Wav2We2.0, and multimodal speech-to-speech models)
- Deploying models into production environments for real-time and batch inference
- Building reusable data preprocessing pipelines for audio and text data
- Setting up automated evaluation systems to monitor model performance
- Optimizing training workflows to reduce time-to-deployment
Qualifications
- At least 5 years of experience working on machine learning models in production environments (Speech, NLP, and/or Vision)
- Experience in Automatic Speech Recognition (ASR) and knowledge of phonetics and accents is a plus
- Proficiency in Python and frameworks like TensorFlow, PyTorch (or similar)
- Up to date with latest developments in using LLM tools (e.g., Claude Code, Cursor, Codex) for rapid prototyping and shipping code
Skills
Required:PythonTensorFlowTorch/PyTorch
Benefits
- Salary and generous stock options
- Fully paid health/vision/dental insurance and 401K program
- In-person office in downtown Manhattan, NYC with relocation assistance if needed
- Access to exclusive startup events, conferences and networks
Last updated Oct 14, 2026. Interested? Apply on the company site.

About BoldVoice
Speech and accent coaching app for non-native English speakers
BoldVoice helps non-native English speakers to speak clearly and confidently. We combine bite-sized video lessons from Hollywood accent coaches with instant pronunciation feedback from AI, to create an effective and engaging learning experience.
educationspeech-recognition
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