Founding Machine Learning Engineer

JR United Kingdom; Cambridge; Hybrid; GBP 50,000 - 90,000; Full time

Job summary

A leading stealth AI startup is seeking a founding Machine Learning Engineer to shape their core products, focusing on generative audio and speech-to-speech models. Ideal candidates will have a PhD or equivalent experience, deep expertise in voice conversion, and proficiency in ML frameworks. This full-time position offers a competitive salary and equity.

Qualifications

• 4+ years of applied research or industry experience.
• Strong hands-on experience with ML frameworks.
• Creative problem-solver with a bias for action.

Responsibilities

• Design and implement high-performance infrastructure for audio datasets.
• Develop robust testing pipelines for model performance.
• Prototype novel ML approaches to enhance product capabilities.

Skills

Deep learning

Generative models

Voice conversion

Statistical modeling

Python

C/C++

Education

PhD in relevant field

Tools

PyTorch

TensorFlow

Keras

PySpark

Kubernetes

Databricks

Apache Arrow

Job description

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Founding Machine Learning Engineer, cambridge

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Client:

Opus Recruitment Solutions

Location:

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

1

Posted:

04.06.2025

Expiry Date:

19.07.2025

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Job Description:

? 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 ambitious Machine Learning Engineer to join as their first 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.

? 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.