Machine Learning Lead

JOB AD:

The AI team is looking for an exceptional machine learning engineer in a leadership role to join the growing team. The ideal candidate will have industry experience working on a range of deep learning solution involving CNN, RNN etc. The position will involve taking these skills and applying them to some of the exciting problems in speech, audio and computer vision in an embedded platform.

The team undertakes projects involving the application of cutting-edge research into proof-of-concept and commercial products for Samsung devices and services. The prospective candidate will have the opportunity to be part of building next generation mobile devices. The candidate will contribute to software development and research of new functionalities or enhancing current pipelines on flagship mobile devices. This position will require you to work closely with researchers, engineers and other leaders to enable and accelerate new research efforts for the AI department.

Role and Responsibilities

As a Machine learning leader, you will:

Support and coach high performing machine learning researcher through regular 1:1s.

Lead 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, model size and accuracy.

Develop and deploy state-of-the-art solutions for real-world large-scale AI problems with commercialization goals on devices.

Have technical responsibility for one or more significant sections of the assigned research project.

Translate complex functional and technical requirements into detailed design.

Required Skills

MSc/PhD degree in Artificial Intelligence, Computer Science/Engineering, Electronics, Mathematics, or related disciplines (an equivalent period of industrial experience may be substituted).

Demonstrated success:

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.

Excellent knowledge of fundamentals of machine learning and deep-learning concepts such as deep neural networks and personalisation is required.

A proven track record in AI model development and deployment (on embedded devices is a plus).

Experience with programming using machine learning frameworks (strong experience in Tensorflow is a plus).

Good familiarity with relevant python libraries (such as NumPy) and tools (such as TensorBoard).

Excellent communication, team work and a results-oriented attitude.

Proficiency in problem solving and debugging.

Desirable Skills

Research and development expertise of speech processing, and language modelling (e.g. speech recognition, NLP/NLU etc.) Project leadership and/or line management experience Expertise in deploying AI on Android.

Publications in top ML/AI conferences (e.g. ICML, NeurIPS, Interspeech, SysML or similar).

Contribution to open source ML frameworks such as -TensorFlow, TensorFlow Lite, etc.