Remote ML Engineer – TTS & Speech Synthesis
Remote ML Engineer – TTS & Speech Synthesis

Remote ML Engineer – TTS & Speech Synthesis

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • 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 deep learning.
  • 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 employer: Aiphoria

Join a forward-thinking tech company in the UK that prioritises innovation and employee development. With a strong emphasis on collaboration and cutting-edge technology, this role offers competitive compensation, flexible remote work options, and ample opportunities for professional growth in the exciting field of speech synthesis.
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Contact Detail:

Aiphoria Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Remote ML Engineer – TTS & Speech Synthesis

Tip Number 1

Network like a pro! Reach out to folks in the industry on LinkedIn or join relevant online communities. We can’t stress enough how valuable personal connections can be in landing that dream role.

Tip Number 2

Show off your skills! Create a portfolio showcasing your TTS projects or any relevant work. We all know that actions speak louder than words, so let your work do the talking!

Tip Number 3

Prepare for those interviews! Brush up on common ML and TTS-related questions, and don’t forget to have a few questions ready for them too. It shows you’re genuinely interested in the role and the company.

Tip Number 4

Apply through our website! We make it super easy for you to find and apply for roles like this one. Plus, it gives us a chance to see your application first-hand, which is always a bonus!

We think you need these skills to ace Remote ML Engineer – TTS & Speech Synthesis

Machine Learning
Text-to-Speech (TTS)
Speech Synthesis
Deep Learning
Collaboration Skills
Natural Language Processing (NLP)
Model Evaluation
Data Preprocessing
Programming (Python, TensorFlow, or similar)
Staying Updated with Technology Trends

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. Keep it engaging and personal – we love to see your personality come through!

Showcase Your Collaboration Skills: Since this role involves working closely with product teams, highlight any past experiences where you collaborated effectively. We value teamwork, so let us know how you’ve contributed to successful projects in the past.

Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our awesome team at StudySmarter!

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 into your experience with deep learning frameworks relevant to TTS. Discuss specific models you've worked with, the challenges you faced, and how you overcame them to achieve natural and accurate speech synthesis.

Ask Insightful Questions

At the end of the interview, don’t shy away from asking questions. Inquire about the company’s future plans for TTS technology or how they measure the success of their voice assistant. This shows your genuine interest and helps you gauge if it’s the right fit for you.

Remote ML Engineer – TTS & Speech Synthesis
Aiphoria

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