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- Tasks: Build and optimise ultra-low-latency speech systems using cutting-edge technology.
- Company: Join a leading tech firm in the UK with a focus on innovation.
- Benefits: Enjoy a competitive salary, equity options, and private health insurance.
- Why this job: Make an impact in AI by working on advanced speech systems.
- Qualifications: Strong software skills, C++ experience, and a top university background.
- Other info: Dynamic role with opportunities for growth in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
A cutting-edge technology firm in the UK seeks a Software / Embedded Engineer to construct and optimize its ultra-low-latency speech systems. This role spans cloud infrastructure and on-device deployment, focusing on creating APIs and backend systems while deploying and optimizing machine learning models on resource-constrained devices.
Candidates should possess strong software fundamentals, experience with C++, and an educational background from a top university. Competitive salary, equity, and private health insurance are offered.
Edge AI Engineer - Ultra-Low-Latency Speech Systems in London employer: Neuphonic
Contact Detail:
Neuphonic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Edge AI Engineer - Ultra-Low-Latency Speech Systems in London
✨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 refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to ultra-low-latency systems or machine learning. This will give potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your C++ skills and understanding cloud infrastructure. Practice coding challenges and be ready to discuss your thought process during problem-solving.
✨Tip Number 4
Don’t just apply anywhere; focus on companies that excite you! Use our website to find roles that match your passion for cutting-edge technology and ultra-low-latency speech systems. Tailor your approach to each application!
We think you need these skills to ace Edge AI Engineer - Ultra-Low-Latency Speech Systems in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with C++ and any relevant projects you've worked on. We want to see how your skills align with our ultra-low-latency speech systems!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the job description. Mention your experience with cloud infrastructure and machine learning models, as these are key for us.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure your achievements and experiences shine through without unnecessary fluff.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Neuphonic
✨Know Your Tech Inside Out
Make sure you brush up on your C++ skills and understand the principles of ultra-low-latency speech systems. Be ready to discuss specific projects you've worked on, especially those involving APIs and machine learning models. This will show that you’re not just familiar with the tech but have hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think about how you would optimise a speech system for resource-constrained devices. Practising coding problems or system design scenarios can help you articulate your thought process clearly.
✨Understand the Company’s Vision
Research the cutting-edge technology firm and its products. Knowing their mission and how they approach ultra-low-latency speech systems will allow you to align your answers with their goals. It shows genuine interest and helps you stand out as a candidate who fits their culture.
✨Ask Insightful Questions
Prepare thoughtful questions about the role, team dynamics, and future projects. This not only demonstrates your enthusiasm but also gives you a chance to assess if the company is the right fit for you. Questions about their approach to deploying machine learning models can spark engaging discussions.