Deep Learning Engineer
Python
Deep Learning Engineer
Warszawa
Type of work
Undetermined
Experience
Mid
Employment Type
B2B, Permanent
Operating mode
Office
Samsung R&D Institute Poland
Samsung R&D Institute Poland is one of the largest research and development centers in Poland. Our offices are located in Warsaw and Kraków. It is there that the high-quality software for Samsung Electronics products is created. The work of our engineers affects the future of operations, among other flagship models of smartphones and TV sets, mobile networks, multimedia and intelligent buildings.
Tech stack
C++
Python
TensorFlow
PyTorch
Keras
SciPy
Job description
Online interview
About our Team
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. We implement ready-made solutions into the products used by hundreds of millions of people all over the world.
Role and Responsibilities
- Design and implementation of artificial neural networks for audio/image processing, analysis, classification, etc.
- Working on new machine learning methods (e.g. Bayesian Methods, GCN, Spherical CNNs, GAN, Unsupervised Learning, Distributed Learning and others)
- You will work closely with product management to define product strategy and roadmap
- Creation of innovative products supported by prototypes, scientific publications and patent applications
Technologies in use
- Python, C++
- Deep Learning Frameworks: Tensorflow, PyTorch, Keras, SciPy ecosystem,
- Digital Signal Processing
- Acoustic Events Recognition, Acoustic Scenes Classification, Sound Source Separation and Signal Enhancement
Skills and Qualifications
- Proven experience in designing, training, and analyzing neural networks in at least one of the following fields: Object detection/classification, Audio Classification, Speech Enhancement, Image segmentation, Multitask learning, Network compression, Reinforcement learning, Unsupervised learning.
- Strong mathematical background (linear algebra/statistics/optimization methods)
- Experience with standard Machine Learning packages, amongst but not limited to: Tensorflow, Keras, SciKit-Learn, Torch, etc.
- Scientific publications, active participation in conferences in the field of artificial intelligence
Nice to have
- Practical knowledge of libraries related to image and video processing
- PhD or relevant work experience in Computer Science, Signal Processing, Acoustics, or related discipline
- Fundamental knowledge in Acoustics, Audio Engineering, and Digital Signal Processing
- Professional experience in porting Audio/Image/Video neural network models on embedded platforms: ARM, DSPs
- Professional experience in fixed point C, assembler on generic platforms, optimizing C/ASM code
- Professional experience in developing product-grade code including high-level software development practices, integration into CI environment, proper testing, packaging and releasing of the software
We offer
- Team:
- 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
- Monthly integration budget
- Possibility to attend local and foreign conferences
- Flexible working hours
- Working remotely at least during lasting Pandemic conditions
- Equipment:
- PC workstation/Laptop + 2 external monitors
- OS: Linux
- Possibility to work on Samsung Super Computer (over 4000 GPUs)
- Benefits:
- Private medical care (possibility to add family members for free)
- Multisport card
- Life insurance
- Lunch card
- 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
- Location:
- Office in Warsaw Spire near metro station
- Working remotely during COVID-19 pandemic
- Attractive relocation package
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