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- Tasks: Develop next-gen voice synthesis models and create natural-sounding speech from text.
- Company: Global media-tech leader in the UK with a focus on innovation.
- Benefits: Competitive compensation and the chance to work with advanced AI technologies.
- Why this job: Join a cutting-edge team and shape the future of audio technology.
- Qualifications: 5+ years in software engineering, machine learning, and proficiency in Python.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 48000 - 72000 £ per year.
A global media-tech leader in the UK is seeking a Gen AI Researcher for Audio to develop next-generation voice synthesis models. You will work on creating expressive, natural-sounding speech from text, while collaborating with cross-functional teams.
Candidates should have over 5 years of experience in software engineering and machine learning, a strong grasp of deep learning techniques, and proficiency in Python and frameworks like PyTorch/TensorFlow.
This role offers competitive compensation and an opportunity to work with advanced AI technologies.
Senior Gen AI ML Engineer: Audio & Video Synthesis employer: BRAHMA
Contact Detail:
BRAHMA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Gen AI ML Engineer: Audio & Video Synthesis
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to audio and video synthesis. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your deep learning techniques and Python skills. Be ready to discuss your past experiences and how they relate to the role. Practice common interview questions to boost your confidence!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are passionate about working with advanced AI technologies. It shows initiative and makes it easier for us to find you!
We think you need these skills to ace Senior Gen AI ML Engineer: Audio & Video Synthesis
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in software engineering and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing your deep learning expertise and any projects you've worked on using Python or frameworks like PyTorch/TensorFlow.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about audio and video synthesis. We love seeing candidates who can express their enthusiasm for developing next-generation voice synthesis models and how they can contribute to our team.
Showcase Relevant Projects: If you’ve worked on any projects related to voice synthesis or AI technologies, make sure to mention them! We’re keen to see practical examples of your work, so include links to your GitHub or any demos that highlight your skills in action.
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 gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at BRAHMA
✨Know Your Tech Inside Out
Make sure you brush up on your deep learning techniques and frameworks like PyTorch and TensorFlow. Be ready to discuss specific projects where you've applied these skills, as well as any challenges you faced and how you overcame them.
✨Showcase Your Collaboration Skills
Since this role involves working with cross-functional teams, prepare examples that highlight your teamwork experience. Think about times when you successfully collaborated with others to achieve a common goal, especially in AI or software engineering contexts.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during the interview. Practice explaining complex concepts in simple terms, as you may need to demonstrate your understanding of voice synthesis models and their applications in real-world scenarios.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about the team’s current projects or the future direction of their AI technologies. This not only shows your enthusiasm but also helps you gauge if it’s the right fit for you.
