Industry leading consumer technology brand currently looking to expand their AI Research team.
We're currently looking for Software Development Engineers with strong knowledge of Machine Learning concepts to join our client in West London.
Role and Responsibilities
As a Research Software Engineer, you will:
Perform software engineering and development activities including requirements analysis, design, implementation, testing, deployment, and code maintenance.
Understand and address software engineering questions that arise in research planning.
Maintain knowledge of current and future software development tools and techniques for machine learning and AI research.
Develop novel methods to improve on-device system performance and accuracy.
Develop and deploy state-of-the-art solutions for real-world large-scale AI problems with commercialization goals.
Have technical responsibility for one or more significant sections of the assigned research project.
Translate complex functional and technical requirements into detailed design.
Disseminate research output in top tier conferences and journals.
Skills and Qualifications
PhD degree in Computer Science/Engineering, Electrical Engineering, Mathematics, Statistics, or related disciplines (an equivalent period of industrial experience may be substituted).
Knowledge of fundamentals of machine learning concepts such as
model optimization and compression,
A proven track record in AI model (deep learning) development and deployment on edge and mobile devices.
Professional software development experience with C++/ Python is required.
Consistently using conventional and readable coding style.
Performing test-driven development.
Creating comprehensive and well-written documentation.
Participating in regular code reviews.
Developing and maintaining reproducible build systems.
Familiarity with software engineering practices and tools such as Git, CI, Agile, etc.
Experience with programming using machine learning frameworks (strong experience in Tensorflow/TFLite).
Excellent communication, team work and a results-oriented attitude.
Proficiency in problem solving and debugging.
Publications in top ML/AI conferences or journals (e.g. ICML, NeurIPS, ICLR, CVPR, ACL, EMNLP, Interspeech or similar).
Research and development expertise of speech processing, language modelling and computer vision (e.g. speech recognition, NLP/NLU, semantic segmentation etc.)
Contribution to open source ML frameworks such as - PyTorch, TensorFlow, TensorFlow Lite, etc.