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Founding Machine Learning Engineer

Opus Recruitment Solutions
Hull
1 month ago
Applications closed

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🚀 Machine Learning Engineer – Founding Team | Stealth AI Startup (Audio + Generative Models)


Location: London (Hybrid) | Full-time | Competitive Salary + Equity


A well-funded, early-stage startup backed by top-tier investors is seeking an ambitiousMachine Learning Engineerto join as theirfirst full-time ML hire.


As a core member of the founding team, you’ll generative voice and speech-to-speech models and your work will directly shape the company’s core products and have a real impact on users.


The ideal candidate is a builder at heart—someone who’s either been a founder or has shipped impressive side projects—and is excited to work in a fast-paced, high-performance environment.


🔧 What You’ll Do

  • Design and implement cost-efficient, high-performance infrastructure for storing and transforming massive audio datasets.
  • Apply ML audio and DSP techniques to clean, segment, and filter speech data.
  • Manage large-scale cloud data storage with a deep understanding of cost-performance tradeoffs.
  • Build scalable ML training pipelines in PyTorch using large datasets.
  • Contribute to research and development of generative voice and speech-to-speech models.
  • Prototype and implement novel ML/statistical approaches to enhance product capabilities.
  • Develop robust testing pipelines to evaluate model performance on audio data.


✅ What We’re Looking For

  • PhD in a relevant field (e.g., Deep Generative Models, TTS, ASR, NLU), or equivalent industry experience.
  • Deep expertise in voice conversion, generative models, deep learning, or statistical modeling.
  • Strong hands-on experience with ML frameworks (PyTorch, TensorFlow, Keras).
  • Proficiency in Python and C/C++.
  • Experience with scalable data tools (e.g., PySpark, Kubernetes, Databricks, Apache Arrow).
  • Proven ability to manage GPU-intensive data processing jobs.
  • 4+ years of applied research or industry experience.
  • Creative problem-solver with a bias for action and a passion for building world-class products.
  • Excellent communication skills.


🌟 Bonus Points

  • Extensive experience in applied research, especially in voice conversion, speech synthesis, or NLP.
  • PhD specialization in voice or speech-related ML fields.
  • A track record of thought leadership through publications, open-source contributions, or patents.
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