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- Tasks: Develop innovative audio models and enhance evaluation methods in AI research.
- Company: Leading AI research firm at the forefront of audio technology.
- Benefits: Competitive salary, bonuses, equity, and comprehensive benefits package.
- Why this job: Join a pioneering team and shape the future of audio understanding and generation.
- Qualifications: PhD in Computer Science or related field with experience in audio/video generation.
- Other info: Exciting opportunity for impactful research in a dynamic environment.
The predicted salary is between 84000 - 120000 £ per year.
A leading AI research firm is seeking a Research Scientist focused on audio understanding and generation. The role involves developing novel architectures to advance audio modeling and enhancing evaluation methods. Candidates must have a PhD in Computer Science or a related field, along with a proven track record in audio or video generation. This full-time position offers a competitive salary range of $141,000 - $202,000, plus bonuses, equity, and benefits.
Research Scientist, Sound & Audio AI — Equity + Benefits employer: The Rundown AI, Inc.
Contact Detail:
The Rundown AI, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist, Sound & Audio AI — Equity + Benefits
✨Tip Number 1
Network like a pro! Reach out to professionals in the audio AI field on LinkedIn or at conferences. We can’t stress enough how a personal connection can give you an edge over other candidates.
✨Tip Number 2
Showcase your work! Create a portfolio that highlights your projects in audio understanding and generation. We want to see your innovative architectures and evaluation methods in action!
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of audio modeling. We recommend practicing common questions and even doing mock interviews with friends or mentors to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Research Scientist, Sound & Audio AI — Equity + Benefits
Some tips for your application 🫡
Show Off Your Expertise: Make sure to highlight your PhD and any relevant experience in audio or video generation. We want to see your track record, so don’t hold back on showcasing your achievements!
Tailor Your Application: Customise your CV and cover letter to reflect the specific skills and experiences that align with the role. We love seeing how you can contribute to advancing audio modelling and evaluation methods.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your ideas are easy to follow and well-structured.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at The Rundown AI, Inc.
✨Know Your Audio Inside Out
Make sure you brush up on the latest trends and technologies in audio understanding and generation. Familiarise yourself with novel architectures and evaluation methods that are currently being used in the field. This will not only show your passion but also your expertise during the interview.
✨Showcase Your Research
Prepare to discuss your previous work in audio or video generation in detail. Bring along examples of your research, publications, or projects that highlight your skills and contributions. Being able to articulate your findings and their impact will impress the interviewers.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's current projects, future directions in audio AI, and how they measure success in this role. This demonstrates your genuine interest and helps you assess if the company is the right fit for you.
✨Practice Problem-Solving
Expect technical questions or case studies related to audio modelling. Practise solving problems on the spot, as this will showcase your analytical thinking and creativity. You might even want to simulate a mock interview with a friend to get comfortable with articulating your thought process.
