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- Tasks: Join us to build cutting-edge voice tech and shape the future of speech recognition.
- Company: Be part of a dynamic start-up focused on privacy and innovation in tech for good.
- Benefits: Enjoy fast-paced development, ownership of projects, and a collaborative work environment.
- Why this job: Make a real impact from day one and see your code in production quickly.
- Qualifications: Passion for ASR, NLU, and experience in building production systems are essential.
- Other info: Flexible roles available for those wanting to manage or dive deep into tech.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Are you tired of working on the same cloud-heavy, API-calling pipelines? Want to actually build something fundamental - tech that runs everywhere and values privacy and speed? This is a chance to shape voice and speech recognition at the early stage for products across many tech for good sectors. Pushing what’s capable in ASR (Automatic Speech Recognition) and beyond. No wrappers, no Big Tech middlemen - just real infrastructure for real devices taking huge ownership in a successful start-up.
We’re looking for a hands-on, “I’ll-build-it-myself” ASR Research Engineer to help us shape the backbone of voice tech for a privacy-conscious world. You’ll have a say in both stack and strategy. Like to ship fast, iterate faster, and see code in production in days? You’ll fit right in.
What You’ll Actually Do
- Take ownership of the SDK stack - API designing all the way to deploying models on all sorts of hardware
- Train, optimize, and deploy speech / NLU / dialog models
- Major impact from day 1: this code ships now, not “someday”
- Big say in tech, big say in company (want to manage down the line? Or just go technically deep? Both work here)
Who’s Going to do Well
- Obsessed with ASR, NLU, NLP, dialog systems - you’ve built production systems
Research Engineer - Speech Recognition / ASR employer: Click To Hired
Contact Detail:
Click To Hired Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer - Speech Recognition / ASR
✨Tip Number 1
Familiarise yourself with the latest advancements in ASR and NLU technologies. Being able to discuss recent trends or breakthroughs during your interview will show your passion and expertise in the field.
✨Tip Number 2
Prepare to demonstrate your hands-on experience with SDK stacks and model deployment. Consider bringing examples of past projects where you took ownership of similar tasks, as this aligns perfectly with what we're looking for.
✨Tip Number 3
Showcase your ability to iterate quickly and ship code efficiently. Be ready to discuss how you've managed tight deadlines and rapid development cycles in previous roles, as this is crucial for our fast-paced environment.
✨Tip Number 4
Express your interest in contributing to both the technical and strategic aspects of the role. We value team members who are eager to shape the direction of our technology and company, so share your vision and ideas during the conversation.
We think you need these skills to ace Research Engineer - Speech Recognition / ASR
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in ASR, NLU, and NLP. Include specific projects where you've built or optimised speech recognition systems, showcasing your hands-on skills.
Craft a Compelling Cover Letter: In your cover letter, express your passion for voice technology and how you align with the company's mission of building privacy-focused solutions. Mention your eagerness to take ownership of projects and contribute to the tech stack.
Showcase Technical Skills: Be explicit about your technical skills related to API design, model training, and deployment. Provide examples of tools and technologies you've used, and how they relate to the responsibilities outlined in the job description.
Demonstrate Problem-Solving Abilities: Include examples of challenges you've faced in previous roles and how you overcame them, particularly in relation to speech recognition or dialog systems. This will show your ability to think critically and innovate in a fast-paced environment.
How to prepare for a job interview at Click To Hired
✨Show Your Passion for ASR
Make sure to express your enthusiasm for Automatic Speech Recognition and related technologies. Share specific projects you've worked on that demonstrate your obsession with ASR, NLU, and NLP. This will show the interviewers that you're not just qualified, but genuinely excited about the field.
✨Demonstrate Hands-On Experience
Prepare to discuss your hands-on experience with building and deploying models. Be ready to explain the technical challenges you faced and how you overcame them. This is a chance to showcase your 'I’ll-build-it-myself' attitude that aligns with their company culture.
✨Discuss Your Approach to Ownership
Since the role involves taking ownership of the SDK stack, be prepared to talk about how you approach ownership in your work. Share examples of how you've taken initiative in past projects, whether it was designing APIs or deploying models on various hardware.
✨Be Ready to Talk Strategy
The company values input on both tech and strategy, so think about how you would contribute to these areas. Prepare to discuss your vision for the future of voice tech and how you would balance innovation with privacy concerns. This will demonstrate your strategic thinking and alignment with their mission.
