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- Tasks: Join us as an AI Research Engineer, working on innovative Digital TV and Audio AI projects.
- Company: Be part of a globally recognised tech and consumer electronics company.
- Benefits: Enjoy a hybrid work model with 2 days remote each week and competitive perks.
- Why this job: Work on cutting-edge technology that impacts audio experiences and enhances digital media.
- Qualifications: A Master’s degree in Electronics, Physics, Mathematics, or Computer Science is required.
- Other info: Opportunity to innovate in AI and contribute to exciting projects in a collaborative environment.
The predicted salary is between 36000 - 60000 £ per year.
Do you have solid experience in Machine Learning/AI, and more specifically Embedded AI / Edge AI? Have Audio experience, including audio classification, audio separation, sound separation, voice and dialog or speech separation? Knowledge of one or more interpreted languages, such as Python and/or JavaScript?
We are seeking an AI Research Engineer to work on cutting edge Digital TV / Audio AI projects with a globally recognised tech/consumer electronics company. This is a permanent role working on a hybrid model (2 days per week working from home), based in the northwest Surrey/West London area (1 hour from King's Cross).
Required skills:
- A Master’s or higher degree in Electronics, Physics, Mathematics, Computer Science or related discipline. An equivalent period of industrial experience may be substituted.
- Proven skills in compiling, deploying, profiling and optimizing latency and quality models on embedded devices (NPU and/or CPU).
- Excellent general AI skills, including improving quality of models using various techniques, including developing new architectures and novel training approaches.
- Experience with building training pipelines, applying new datasets and achieving timely results.
- Specific experience and application of general sound enhancement technologies for voice or other audio components, including but not limited to AI technologies.
- Analysis and design of software modules within an embedded system, including creation of demo applications to showcase AI work.
- Prior experience of innovation in the AI space, finding new project domains and generating project proposals.
Any of the following would be considered a plus:
- Publications in top ML conferences (e.g. ICML, ICCV, SysML or similar).
- Contribution to open source ML frameworks such as TensorFlow, TensorFlow Lite, etc.
- Experience with knowledge distillation, computer vision algorithms, federated learning.
- Knowledge of one or more interpreted languages, such as Python and/or JavaScript.
- Experience of real-time and/or embedded software development in C++ (on embedded Linux) including multi-threaded programming (POSIX).
- Linux (or other Unix-like) programming experience, shell scripting.
- Version control systems, software build environments.
If this sounds interesting and you’d like to learn more, click the link below to apply or email me with a copy of your resume.
AI Research Engineer (Digital TV / Audio AI) - On Device AI / Edge AI employer: European Tech Recruit
Contact Detail:
European Tech Recruit Recruiting Team
smouland@eu-recruit.com
StudySmarter Expert Advice 🤫
We think this is how you could land AI Research Engineer (Digital TV / Audio AI) - On Device AI / Edge AI
✨Tip Number 1
Familiarise yourself with the latest trends in AI, particularly in the areas of Embedded AI and Edge AI. Being able to discuss recent advancements or projects during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Showcase any personal projects or contributions to open-source frameworks related to audio processing or machine learning. This hands-on experience can set you apart from other candidates and highlight your practical skills.
✨Tip Number 3
Network with professionals in the AI and audio technology sectors. Attend relevant meetups or webinars to connect with industry experts, which could lead to valuable insights or even referrals for the position.
✨Tip Number 4
Prepare to discuss specific examples of how you've optimised models for embedded devices. Be ready to explain your thought process and the impact of your work on previous projects, as this will demonstrate your problem-solving abilities.
We think you need these skills to ace AI Research Engineer (Digital TV / Audio AI) - On Device AI / Edge AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Machine Learning and AI, particularly in Embedded AI and Edge AI. Include specific projects or roles that demonstrate your skills in audio classification and sound separation.
Craft a Compelling Cover Letter: Write a cover letter that connects your background in Electronics, Physics, Mathematics, or Computer Science to the requirements of the role. Emphasise your experience with AI technologies and any innovative projects you've worked on.
Showcase Relevant Skills: In your application, clearly outline your proficiency in programming languages like Python and JavaScript. Mention any experience you have with real-time software development, embedded systems, and version control systems.
Highlight Publications and Contributions: If you have publications in top ML conferences or contributions to open-source ML frameworks, make sure to include these in your application. This can set you apart from other candidates and showcase your commitment to the field.
How to prepare for a job interview at European Tech Recruit
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Machine Learning and AI, particularly in Embedded and Edge AI. Highlight specific projects where you've implemented audio classification or sound separation techniques, as this will demonstrate your expertise in the field.
✨Demonstrate Problem-Solving Abilities
Expect to face technical challenges during the interview. Be ready to explain how you approach problem-solving, especially in optimising models for embedded devices. Use examples from your past work to illustrate your thought process and solutions.
✨Familiarise Yourself with Relevant Technologies
Research the latest trends in AI technologies related to audio enhancement and digital TV. Being knowledgeable about current innovations will not only impress your interviewers but also show your passion for the field.
✨Prepare Questions for the Interviewers
Have a list of insightful questions ready to ask your interviewers. This could include inquiries about their current projects, team dynamics, or future directions in AI research. It shows your genuine interest in the role and the company.
