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- Tasks: Join our team to innovate AI technologies for embedded devices and enhance audio quality.
- Company: microTECH-Global is a cutting-edge tech company focused on developing state-of-the-art AI solutions.
- Benefits: Enjoy a competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Be part of a dynamic team, work on exciting projects, and make a real impact in AI.
- Qualifications: Master's degree in relevant fields or equivalent experience; strong skills in machine learning required.
- Other info: Ideal for enthusiastic individuals eager to develop their skills in a diverse software environment.
The predicted salary is between 36000 - 60000 £ per year.
Salary – Very competitive
Location – Staines (Hybrid - 3 days onsite)
What are we looking for:
microTECH-Global are looking for a talented AI expert to join the company’s team and help develop state of the art technologies. We need enthusiastic engineers with a strong academic background and experience in Machine Learning. The candidate will contribute to the development and optimisation of models for embedded devices.
Key Responsibilities:
- Ensure that work packages meet requirements, pass quality standards and are integrated with other parts of the system
- Innovate novel AI technologies to enhance audio quality on embedded devices
- Improve the run time performance of the AI model on device, including optimising model size, latency and quality
- Have technical responsibility for one or more significant sections of the assigned project
- Translate complex functional and technical requirements into detailed design
- Work to a professional standard, paying due regard to safety, efficiency, cost effectiveness, time scales and the needs of the Company
Background & Experiences:
- 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, 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
- Excellent general communication skills, including clear and concise written and verbal reporting. Proven experience with project planning
- Working in a small team, the candidate must be a team player and be flexible, and able to exhibit excellent time management
- Prior experience of innovation in AI space, finding new project domains and generating project proposals
- Individuals suitable for the position must be enthusiastic and be prepared to develop their skill set across a diverse software environment
Desirable Skills, Knowledge and Competencies:
- 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
- Source code quality checking and analysis tools
If interested please apply below.
Artificial Intelligence Researcher employer: Microtech Global Ltd
Contact Detail:
Microtech Global Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Researcher
✨Tip Number 1
Make sure to showcase your hands-on experience with embedded devices during any networking opportunities. Engage in conversations about your past projects and how you've optimised models for performance, as this will resonate well with the hiring team.
✨Tip Number 2
Attend AI and machine learning conferences or workshops where you can meet industry professionals. This not only helps you stay updated on the latest trends but also allows you to make connections that could lead to job referrals.
✨Tip Number 3
Join online forums or communities focused on AI and embedded systems. Engaging in discussions and sharing your insights can help you build a reputation in the field, making you a more attractive candidate when applying for positions like ours.
✨Tip Number 4
Consider contributing to open-source projects related to AI technologies. This not only enhances your skills but also demonstrates your commitment to the field, which can set you apart from other candidates when applying for the role.
We think you need these skills to ace Artificial Intelligence Researcher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI and Machine Learning. Focus on projects where you've optimised models for embedded devices, as this is a key requirement for the role.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for AI technologies and how your background aligns with the company's goals. Mention specific experiences that demonstrate your ability to innovate and improve audio quality on embedded devices.
Showcase Relevant Projects: Include details of any significant projects you've worked on, especially those involving sound enhancement technologies or embedded systems. Highlight your contributions and the impact they had on the project outcomes.
Proofread Your Application: Before submitting, carefully proofread your application materials. Ensure there are no spelling or grammatical errors, and that your writing is clear and concise, reflecting your excellent communication skills.
How to prepare for a job interview at Microtech Global Ltd
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with machine learning and AI technologies in detail. Highlight specific projects where you've optimised models for embedded devices, as this is crucial for the role.
✨Demonstrate Problem-Solving Skills
Expect to face technical challenges during the interview. Be ready to explain how you approach problem-solving, particularly in optimising model performance and enhancing audio quality.
✨Communicate Clearly
Since excellent communication skills are essential, practice explaining complex concepts in a clear and concise manner. This will help you convey your ideas effectively to the interviewers.
✨Prepare for Team Dynamics
As the role requires working in a small team, be ready to discuss your experiences collaborating with others. Share examples of how you've contributed to team projects and adapted to different working styles.
