As one of the largest AI teams in Europe, we work with the analysis of sound, image, speech, text, Big Data, NLP, and more. We base our work on the latest methods of machine learning (including deep neural networks), extensive data resources, and appropriate computing resources.
About the role
We are seeking a Senior AI Engineer with expertise in training deep neural network (DNN) models for audio and speech processing in embedded systems. Your primary focus will be on developing and optimizing algorithms using data from wearable and mobile devices to enhance the performance and efficiency of DNN models. You’ll leverage advanced machine learning techniques to drive innovation in next-generation smart features, enabling seamless and intelligent user experiences. Join us in working on long-term, strategically important projects that will impact millions of users worldwide, and contribute to shaping the future of AI-driven technology
Technologies in use
Programming Languages: Python, C/C++
Deep Learning and Machine Learning Frameworks: TensorFlow, PyTorch
Large Language Models (LLMs) and Multimodal Models
Operating Systems: Linux, Android, Tizen
Other Technologies: GitHub, Docker, Conda, OpenCV, NPU, ARM-related programming
Digital Signal Processing
responsibilities :
Design and implement machine learning algorithms (including deep neural networks) for analyzing audio and video content.
Automate and enhance audio, video, and image processing pipelines.
Contribute to creating innovative products, scientific publications, and patent applications.
Conduct scientific literature reviews and contribute to scientific publications and patent applications.
Collaborate closely with product management to define product strategy and roadmap.
Lead software system architecture design to deliver efficient, maintainable code for model training, evaluation, and deployment.
Design solutions for incorporating machine/deep learning into product features and effectively communicate these solutions to software engineers and business leaders.
requirements-expected :
Strong mathematical background in linear algebra and statistics.
Proficiency in Linux programming environments, including Docker.
Demonstrated expertise in at least one programming language: Python or C/C++.
Working knowledge of TensorFlow and PyTorch.
Master’s or PhD degree in computer science, mathematics, or related fields.
Track record of scientific publications and active participation in AI-related conferences.
offered :
Friendly working atmosphere
Wide range of trainings and a huge support in developing algorithmic skills
Opportunity to work in multiple projects
Working with the latest technologies on the market
Possibility to attend local and foreign conferences
Start of work between 7 a.m. and 10 a.m.
PC workstation/Laptop + 2 external monitors
OS: Linux, Windows
Private medical care (possibility to add family members for free)
Multisport card
Life insurance
Lunch card
A partial reimbursement of the cost of an English language course
Possibility to learn Korean for free
Variety of discounts (Samsung products, theaters, restaurants)
Unlimited free access to Copernicus Science Center for you and your friends
Possibility to test new Samsung products
Monthly integration budget
Office in Warsaw Spire near metro station
Attractive relocation package
Hybrid model – 3 days from the office per week
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of foreign language classes
life insurance
corporate products and services at discounted prices
integration events
dental care
no dress code
leisure zone
pre-paid cards
baby layette
charity initiatives
unlimited free access to Copernicus Science Center
