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Machine Learning Researcher Engineer

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Helpcare AI

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Location:
United States , New York

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Contract Type:
Not provided

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Salary:

150000.00 - 220000.00 USD / Year

Job Description:

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
What we offer:
  • Excellent fully paid health/vision/dental insurance
  • 401K program
  • Help with relocation to NYC
  • Access to exclusive startup events, conferences and networks
  • Generous stock options

Additional Information:

Job Posted:
January 20, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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