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- Tasks: Enhance voice assistant tech by developing natural and accurate TTS models.
- Company: Tech-driven company in the UK with a focus on innovation.
- Benefits: Competitive pay, remote work options, and opportunities for growth.
- Why this job: Join a cutting-edge team and shape the future of speech synthesis.
- Qualifications: Experience in machine learning and a passion for TTS technology.
- Other info: Dynamic work environment with a strong emphasis on collaboration.
The predicted salary is between 36000 - 60000 £ per year.
A tech-driven company in the United Kingdom is expanding its team and seeking a skilled MLE (TTS) to enhance their voice assistant technology. The role involves ensuring TTS models are natural and accurate, collaborating with product teams, and staying updated with advances in speech synthesis. With a strong focus on TTS and deep learning, this position offers competitive compensation and remote work options.
Remote ML Engineer – TTS & Speech Synthesis in London employer: Aiphoria
Contact Detail:
Aiphoria Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote ML Engineer – TTS & Speech Synthesis in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, join relevant online communities, and attend virtual meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your TTS projects or any relevant work. This is your chance to demonstrate your expertise in ML and speech synthesis, making you stand out from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on common ML concepts, especially around TTS and deep learning. Practise explaining your past projects and how they relate to the role – confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Remote ML Engineer – TTS & Speech Synthesis in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with TTS and deep learning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about speech synthesis and how you can contribute to our team. Let us know what excites you about this role and our company.
Showcase Your Collaboration Skills: Since this role involves working closely with product teams, highlight any past experiences where you’ve successfully collaborated on projects. We love seeing teamwork in action, so share those stories!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Aiphoria
✨Know Your TTS Inside Out
Make sure you brush up on your knowledge of Text-to-Speech (TTS) technologies and speech synthesis. Be ready to discuss the latest advancements in the field and how they can be applied to improve voice assistant technology.
✨Showcase Your Collaboration Skills
Since the role involves working closely with product teams, prepare examples of past collaborations. Highlight how you’ve effectively communicated technical concepts to non-technical team members and contributed to successful projects.
✨Demonstrate Your Deep Learning Expertise
Be prepared to dive deep into your experience with deep learning frameworks. Discuss specific models you've worked with, the challenges you faced, and how you overcame them. This will show your problem-solving skills and technical prowess.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current TTS projects and future goals. This not only shows your interest in the role but also helps you gauge if the company aligns with your career aspirations.
