At a Glance
- Tasks: Research and build innovative models for speech technologies like TTS and ASR.
- Company: Join a cutting-edge speech research team focused on generative audio models.
- Benefits: Flexible remote work, collaboration with experts, and potential publication opportunities.
- Other info: Ideal for curious minds eager to tackle open-ended research challenges.
- Why this job: Dive into advanced speech research and make a real impact in the field.
- Qualifications: PhD or MSc in ML, Signal Processing, or CS; experience with PyTorch required.
The predicted salary is between 63000 - 77000 £ per year.
- Job
- Title: Speech ML Research
- Contractor
Type: 3–6 Month Contract (Full-Time or Part-Time: 20 hrs/wk for Ph D students) Role Overview Join an advanced speech research team conducting exploratory, hypothesis-driven research in text-to-speech (TTS), automatic speech recognition (ASR), and generative audio models.
Open to current Ph D candidates (flexible ~20 hrs/week) or recent Ph D/MSc graduates (full-time).
What You'll Do Research and build models for TTS, ASR, voice conversion, and audio generation.
Experiment with modern generative architectures: Transformers, Diffusion, Flow Matching, GANs, VAEs, and Neural Audio Codecs .
Clean, analyze, and evaluate real-world audio datasets at scale.
Collaborate with research scientists with opportunities to publish at top-tier ML venues.
Requirements
Education: Currently enrolled in or recent graduate (within 1 yr) of a Ph D or MSc in ML, Signal Processing, or CS.
Core
Stack: Hands-on experience with Py Torch and handling complex data pipelines.
ML Depth: Strong theoretical grasp of generative modeling (Diffusion, Flow Matching, Codecs).
Skills: Independent, curious, and comfortable with open-ended research problems.
Interview Process Technical Interview (60 min): ML depth and research breadth discussion (no live coding).
Values Interview (30 min): Collaboration, communication, and team alignment.
Research Intern employer: Randstad Digital UK
Randstad Digital UK is an exceptional employer, offering a vibrant work culture that fosters collaboration and innovation. With a focus on employee growth, you will have access to continuous learning opportunities while working on impactful projects that reach millions of users globally. Located in a dynamic environment, we prioritise quality and teamwork, making it a rewarding place for experienced Android engineers to thrive.
