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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 a relevant field or equivalent industrial experience is required.
- Other info: Opportunity to contribute to open-source projects and attend top ML conferences.
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?
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
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. This will not only help you understand the current landscape but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your practical experience by preparing examples of projects where you've implemented audio classification or sound enhancement technologies. Be ready to discuss the challenges you faced and how you overcame them.
✨Tip Number 3
Network with professionals in the AI and tech industry, especially those who have experience in digital TV or audio AI. Attend relevant meetups or webinars to expand your connections and gain insights that could be beneficial for your application.
✨Tip Number 4
Prepare to discuss your experience with programming languages like Python and JavaScript, as well as your familiarity with tools like TensorFlow. Being able to articulate your technical skills confidently can set you apart from other candidates.
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, especially in Embedded AI and Edge AI. Include specific projects or roles that demonstrate your skills in audio classification and sound separation.
Craft a Strong Cover Letter: Write a cover letter that connects your background to the job description. Emphasise your relevant qualifications, such as your Master’s degree and any experience with AI technologies, and express your enthusiasm for working on Digital TV and Audio AI projects.
Showcase Relevant Projects: If you have worked on any projects related to audio enhancement technologies or embedded systems, be sure to include these in your application. Describe your role, the technologies used, and the outcomes achieved.
Highlight Publications and Contributions: If you have any publications in top ML conferences or contributions to open-source ML frameworks, mention these in your application. This can set you apart from other candidates and demonstrate 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
During the interview, be ready to tackle hypothetical scenarios related to AI model optimisation and deployment on embedded devices. This will showcase your analytical thinking and ability to apply your knowledge in practical situations.
✨Familiarise Yourself with Relevant Technologies
Brush up on the latest advancements in AI technologies, especially those related to audio enhancement and real-time processing. Being knowledgeable about current trends will help you engage in meaningful discussions and show your passion for the field.
✨Prepare Questions for the Interviewers
Think of insightful questions to ask about the company's projects and future directions in AI. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career goals.
