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UtopiaCompression
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Description
Job Announcement – UtopiaCompression Machine Learning/AI Scientist Posted 01/13/03 UtopiaCompression is a dynamic and exciting high tech startup based in Los Angeles, California. UtopiaCompression’s vision is to become the leader in intelligent imaging solutions by leveraging unique and innovative approaches in the fields of image compression, image understanding and related areas. We are delighted to be a 2002 winner of the prestigious Advanced Technology Program (ATP) award of the National Institute of Standards and Technology. With NIST funding, UtopiaCompression will be developing a highly superior, disruptive, conceptually-driven, intelligence-based image compression technology radically different from current data driven linear transformation based compression methodologies. Details on the award can be found at http://www.atp.nist.gov/awards/00004936.htm Basic Qualifications UtopiaCompression is seeking highly qualified and skilled scientists and professionals in artificial intelligence, machine learning, imaging and pattern compression. Candidates are required to have completed their Ph.D. in electrical engineering, computer science or other related areas from a well recognized university. Post-doctoral and industry experience with outstanding accomplishments and US citizenship or permanent residency are preferred. Exceptional candidates with M.A. degrees will also be considered. UtopiaCompression is seeking scientists in the following two disciplines. Artificial Intelligence and Machine Learning Scientist 1 – In-depth knowledge and experience in statistical analysis, reasoning and learning (e.g., Bayesian learning, estimation maximization and maximum likelihood algorithms, and feature extraction problems), (statistical) combinatorial optimization and learning (e.g., simulated annealing, genetic programming), neural networks, inductive and rule generation learning, fuzzy reasoning, (numeric) decision tree learning, search methods, (image) data mining and understanding, etc. Candidates are expected to have knowledge and working experience in various learning regimes. For instance, in the case of layered neural nets dexterous familiarity with the back propagation algorithm, radial basis functions, etc., in decision tree learning working experience in information gain measure, category utility function, tree pruning, etc. 2 – Dexterous familiarity with various machine learning and statistical software tools. 3 – Fluency in software analysis, design and development using C programming environment. Candidates must be well versed and experienced in C. Working experience in C++ (and Java) is a plus. 4 – Knowledge and working experience with image compression techniques, and image analysis and processing is a big plus. Image Processing and Pattern Compression Scientist 1 – In-depth knowledge and experience in various compression methods: lossy and lossless compressions, Huffman, arithmetic, differential, runlength, transformation (e.g., DCT, Wavelet), vector quantization, fractal based coding, etc. 2 – In-depth knowledge and experience in image compression standards and specifications, their advantages and disadvantages, their limitations in various imaging markets and their relationships to other technology advancements and components in building whole solutions. Close familiarity with different codec systems. 3 – In-depth knowledge and experience in various signal and image processing techniques such as sampling and quantization, transformations techniques and frequency analysis, smoothening, enhancement, edge detection, feature analysis, restoration, segmentation, coloring, filtering, etc. 4 – In-depth knowledge and experience in computational vision, in particular psychovision, and volumetric imaging. 5 – Fluency in software analysis, design and development using C programming environment. Candidates must be well versed and experienced in C. Working experience in C++ (and Java) is a plus. 6 – Dexterous familiarity with software tools such as MatLab, Adobe PhotoShop, etc. 7 – Knowledge and experience in packaging codecs into software/hardware/hybrid solutions appropriates for vertical applications in Media & Entertainment, Wireless, Surveillance & Security, Medical Imaging, etc., is a plus. 8 – Knowledge and working experience in artificial intelligence, machine learning, statistical analysis and reasoning is preferable, as well as working experience in neural nets, (numeric) decision tree learning, genetic programming, fuzzy reasoning, searching and inferencing, (statistical) optimization algorithms, etc.
Contact address
Juhn Maing Product Manager UtopiaCompression Tel: 310-473-1500 Email: juhn@utopiacompression.com
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