AI Researcher
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 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
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 proposal.
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
Software & Artificial Intelligence: | A.I. / Machine Learning |