Machine Learning Engineer - Galway
FRS Recruitment are actively sourcing and screening for a Machine Learning Engineer role with a leading tech employer with a global presence! Fantastic benefits package on offer!
The Position
This is not your ordinary ML opportunity. This is an opportunity for a candidate who has the right balance of strong theoretical capability, creativity, and a passion for hands-on applications, to solve tough real-world problems and to see their work in millions, possibly billions of consumer electronics products. We are changing the rules of the ML game, from ground breaking new theoretical approaches to the most power-efficient edge inference engine on the planet.
In this role you will:
Fulfil a technical role in cutting-edge AI and ML research and development, including novel methods for network design and optimization
Apply ML to real-world imaging problems selecting, optimizing, and deploying neural networks across a wide range of use cases, including advanced imaging
Develop cutting-edge AI and ML technologies for generic and highly specialized, advanced ML accelerators
Establish the training and testing datasets, generate technical documentation and test procedures.
Collaborate in the development of machine learning related tools and frameworks for data management, visualization, implementation and performance evaluation
Keep up to date with latest advances in machine/deep learning, both industry and academia
Develop and submit invention disclosures
Demonstrate a structured and detail-oriented approach and follow rigorous scientific and engineering methods
Requirements
A proven track record of conducting disciplined and productive R&D
MSc degree in a relevant field with at least 3 years relevant industry experience
Direct, and productive experience in the development and productization of AI/ML
technologies
Familiarity with state-of-the-art ML, conversant in the latest ML developments, neural network architectures, and training and optimization methods
Solid C/C++ and Python programming language skills
Strong analytical and troubleshooting skills
Excellent written and spoken communication skills
A strong drive to solve problems and disrupt the status quo
Familiarity with version control systems, preferably Git and development methodologies such as Agile/Kanban
Highly desirable
PhD in a related field
Proficiency with deep learning development tools such as PyTorch, TensorFlow, Caffe
Advanced knowledge and expertise in image sensing, processing, analytics and display, autonomous driving,
Demonstrated interest in: machine learning, neural networks, information theory, statistics and probability, modelling and optimization
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