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Machine Learning Engineer / Researcher at BoldVoice, you’ll play a critical role in driving the development and optimization of our AI systems. Your work will directly enhance the user experience by creating new machine learning-enabled capabilities, and improve the accuracy and efficacy of our existing machine learning systems.
Job Responsibility:
Designing, training, and fine-tuning machine learning models for AI coaching, pronunciation feedback, and accent detection. This will include working on LLMs, speech models like Wav2Wec2.0, and multi-modal models like speech to speech models
Deploying these models into production environments for real-time and batch inference
Building reusable and organized data preprocessing pipelines for various data, including audio data, text data and more
Setting up automated evaluation systems to monitor model performance
Optimizing training workflows to reduce time-to-deployment
Requirements:
At least 5 years of experience working on machine learning models in production environments, specifically training, fine-tuning, evaluating and directly implementing machine learning models, in the fields of Speech, NLP, and/or Vision
Experience in Automatic Speech Recognition (ASR) will be particularly useful, as will knowledge of phonetics and the ability to discern sounds and accents
Proficiency in Python and frameworks like TensorFlow, PyTorch, or similar
Up to date with latest developments in using LLM tools like Claude Code, Cursor, Codex or similar to rapidly prototype, and ship code quickly