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- Tasks: Research and develop next-gen voice synthesis models using deep learning.
- Company: Join a cutting-edge tech company focused on AI innovation.
- Benefits: Attractive salary, flexible work options, and opportunities for growth.
- Why this job: Be at the forefront of AI technology and create impactful voice synthesis solutions.
- Qualifications: Experience in machine learning and a passion for audio technology.
- Other info: Collaborative team environment with exciting projects and career advancement.
The predicted salary is between 43200 - 72000 £ per year.
We are looking for a Gen AI Researcher for Audio to join our team and help develop next-generation voice synthesis models. You'll research and build deep learning systems that can generate expressive, natural-sounding speech from text or audio prompts, and collaborate with cross-functional teams to integrate your work into production-ready pipelines.
We are looking for a Senior Machine Learning Engineer to join our team and help build state-of-the-art generative systems for video and audio synthesis.
Senior Machinelearning Engineer Ii in England employer: BRAHMA
Contact Detail:
BRAHMA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machinelearning Engineer Ii in England
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues 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 voice synthesis or deep learning. 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 technical knowledge and soft skills. Practice common interview questions and be ready to discuss your past projects in detail. Remember, confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are excited about joining our team. Plus, it shows you’re genuinely interested in what we do.
We think you need these skills to ace Senior Machinelearning Engineer Ii in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning and audio synthesis. We want to see how your skills align with the role, so don’t be shy about showcasing your projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about generative AI and how your background makes you a perfect fit for our team. Let us know what excites you about the role!
Showcase Your Projects: If you've worked on any cool projects related to voice synthesis or deep learning, make sure to mention them! We love seeing practical applications of your skills, so include links or descriptions of your work.
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!
How to prepare for a job interview at BRAHMA
✨Know Your Stuff
Make sure you brush up on the latest advancements in generative AI, especially in audio and voice synthesis. Be ready to discuss specific models you've worked with and how they relate to the job description.
✨Showcase Your Projects
Prepare to talk about your previous projects involving deep learning systems. Highlight any experience you have with integrating these systems into production-ready pipelines, as this will demonstrate your practical skills.
✨Collaborate Like a Pro
Since the role involves working with cross-functional teams, think of examples where you've successfully collaborated with others. Be ready to discuss how you communicate complex technical concepts to non-technical team members.
✨Ask Smart Questions
Prepare insightful questions about the company's current projects in voice synthesis and generative systems. This shows your genuine interest in the role and helps you understand how you can contribute effectively.
