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- Tasks: Build and improve audio processing pipelines while conducting impactful research in speech AI.
- Company: Join a cutting-edge team at the forefront of speech AI and clinical research.
- Benefits: Competitive salary, remote work flexibility, and opportunities for professional growth.
- Other info: Work in a dynamic environment with a focus on innovation and collaboration.
- Why this job: Make a real difference in the field of speech AI and contribute to meaningful research.
- Qualifications: Research experience with audio data and proficiency in speech processing tools required.
The predicted salary is between 70000 - 100000 £ per year.
Remote, Europe
3-5 days per week
€70,000 - €100,000 salary (or equivalent compensation)
Sentinel is partnering with a specialist team working at the cutting edge of speech AI and clinical research. Their work sits at the intersection of acoustic engineering, machine learning and regulated clinical environments.
This is a senior individual contributor role with two core objectives: producing credible, publishable research that validates the science externally, and building the models and pipelines that power the product internally.
Responsibilities:
- Building and improving audio and transcript processing pipelines - segmentation, noise reduction, feature extraction
- Extracting acoustic, prosodic and linguistic features: pitch, speech rate, pauses, jitter, shimmer, spectral features, sentiment and more
- Developing models that map signals to behavioural indicators and well-being scores
- Fine-tuning and integrating LLMs for conversation summarisation, signal labelling and emotion assessment
- Designing validation studies and contributing to publications, reports and clinical evidence packages
Requirements:
- Research background, including publishing and presenting
- Hands-on experience with raw audio data and speech processing tools (such as librosa, Kaldi, Praat)
Senior Audio Data Scientist (Research) in London employer: Sentinel
Contact Detail:
Sentinel Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Audio Data Scientist (Research) in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the audio data science field on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to audio processing and machine learning. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and research experience. Be ready to discuss your past projects and how they relate to the role of Senior Audio Data Scientist.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team, so make sure to submit your application directly for the best chance at landing that dream job.
We think you need these skills to ace Senior Audio Data Scientist (Research) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in audio data science and research. We want to see how your skills align with the role, so don’t be shy about showcasing your projects and publications!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about speech AI and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills: Don’t forget to mention your hands-on experience with tools like librosa or Kaldi. We’re looking for someone who can hit the ground running, so highlight any relevant projects or research that demonstrate your expertise.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Sentinel
✨Know Your Stuff
Make sure you brush up on your knowledge of audio data processing and the tools mentioned in the job description, like librosa and Kaldi. Be ready to discuss your past projects and how they relate to the responsibilities of the role.
✨Showcase Your Research Skills
Since this role involves producing credible research, prepare to talk about your previous publications and presentations. Highlight any experience you have with validation studies or clinical evidence packages, as this will show you're a good fit for their objectives.
✨Demonstrate Problem-Solving Abilities
Be prepared to tackle hypothetical scenarios related to audio processing challenges. Think about how you would approach building and improving pipelines or extracting features from raw audio data. This will showcase your analytical skills and creativity.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company’s work. Inquire about their current projects in speech AI or how they validate their models. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.