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Computer Vision R&D Scientist

Description:

UC is seeking a Computer Vision R&D Scientist to support its vision technology programs. In this role, you will be required to lead UC’s computer vision algorithm and software development efforts. You will be responsible for designing and developing computer vision and machine learning algorithms applied to multiple products. This will involve mathematical modeling and analysis, algorithm development, software prototyping and product development.

Basic Requirements

  • Ph.D. in Computer Science/Electrical Engineering/Applied Mathematics, or M.S. w/5+ years experience
  • Strong background in Computer Vision, Machine Learning, and Image/Video Processing (detection, tracking, classification, online learning, active learning, deep learning, event analysis, etc.)
  • Contributions to peer-reviewed vision conferences/journals
  • Strong programming skills in C++, Python, MATLAB

Desired Expertise/Experience

  • Post-doctoral experience is a strong plus
  • Prior experience in executing R&D projects
  • Experience in writing proposal and winning grants
  • Hands-on experience with EO and/or IR sensors and optical systems
  • Experience programming and developing on GPUs or other embedded systems

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Machine Learning AI Scientist

Description:

UtopiaCompression is seeking a Machine Learning (ML) /Artificial Intelligence (AI) Scientist to support a diverse range of programs incliding, SONAR image detection/classification, autonomous navigation, scene understanding, medical diagnostics, and personnel training.

The candidate will be expected to lead efforts in procuring funding through grant proposals.  U.S. citizens and Green Card holders are highly encouraged to apply. Due to the nature of the work, this position requires permanent residency or U.S. citizenship.

Basic Requirements

  • PhD/Postdoc in Computer Science, Electrical Engineering, or related field, with a focus on ML & AI
  • Deep and diverse knowledge of AI concepts and ML regimes, including: deep learning, active learning, reinforcement learning, unsupervised learning, decision trees, regression, etc.
  • Strong programming skills in Python, TensorFlow, and Keras
  • Knowledge of C/C++
  • Strong fundamentals in mathematics, statistics, probability, and algorithms
  • Good research, writing, and communication skills

Desired Experience

  • Experience with big data algorithms and systems
  • Theoretical background in convolutional neural networks and experience with tensorflow
  • Experience with computer vision
  • Experience with developing agents with cognitive and affective/emotional capabilities
  • Prior experience in executing R&D projects and software design and development
  • Publications in conferences and journals
  • Prior experience in writing research grants
  • Experience with algorithm parallelization, GPUs, and/or embedded systems development is a plus

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Machine Learning-Computer Vision Research Scientist

Description:

UtopiaCompression Corporation is seeking a Machine Learning-Computer Vision Research Scientist to support a diverse range of programs through development and application of Machine Learning (ML), Artificial intelligence (AI) and Computer Vision techniques. The prospective candidate shall innovate and adapt multidisciplinary approach to solve problems in medical domain and intelligent training technologies. The candidate will be expected to lead efforts in procuring funding through grant proposals.

U.S. citizens and Green Card holders are highly encouraged to apply. Due to the nature of the work, this position requires permanent residency or U.S. citizenship.

Basic Requirements

  • PhD (minimum), Postdoc (preferred) in Applied Mathematics, Computer Science, or an Engineering discipline relevant to the expertise noted below
  • Deep and diverse knowledge of applied mathematics, e.g. combinatorial optimization; game theory; etc
  • Deep and diverse knowledge of probability theory and statistical modeling
  • Deep and diverse knowledge of AI concepts including: (a) variety of machine learning and classification regimes; (b) autonomous situated agents with cognitive and affective/emotional faculties; (c) variety of reasoning capabilities; (d) data mining and analytics; etc
  • Well-versed in computer vision both in theory and practice including: (a) image processing and analysis; (b) video processing and analysis
  • Impressive research, writing, and communication skills. Candidate is required to have publications in reputable journals, e.g. CVPR, IEEE, with him/her as the first author

Desired Experience

  • Experience with big data algorithms and systems
  • Dexterous with MATLAB and Python programing languages
  • Application of ML to varied Medical Informatics and Bioinformatics tasks, including multi-modal data fusion, diagnostic classification and prediction
  • Familiarity with diverse medical image modalities (US, CT or MRI) and physiological data (ECG, spectral, Doppler)

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R&D Software Engineer

Description:

UC is seeking a strong R&D Software Engineer to support research and product development in multiple areas, including computer vision, machine learning, controls and estimation applications for the air and maritime domains. This role involves the implementation of state-of-the-art machine learning algorithms on CPUs as well as GPUs, SoCs, and other embedded platforms. The candidate may be required to aid in research, analysis, and simulation studies, documentation, system integration, and testing.

U.S. citizens and Green Card holders are highly encouraged to apply. Due to the nature of the work, this position requires permanent residency or U.S. citizenship.

Basic Requirements

  • BS/MS/PhD in Computer Science or Electrical Engineering
  • Strong programming skills in C++
  • Expertise in computer vision and machine learning
  • Proficient with Linux environments

Desired Expertise/Experience (Any one from below)

  • Proficiency in other programming languages: Python, Matlab
  • Experience with libraries such as Boost, Eigen, HDF5, OpenCL
  • Experience designing and developing real-time software architectures
  • Experience with embedded platforms
  • Hands-on experience with EO, IR, INS, IMU, GPS sensors

 

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