We are always on the lookout for creative and talented people.
Please submit resumes to


 

ENGINEER, AUTONOMOUS SYSTEMS

Description:

Working in professional team environment, participates in design of mechanical features of aerospace products for autonomous systems, including unmanned aircraft, surface vessels, and ground vehicles. Communicates with customers and end users to develop performance requirements and control interfaces. Contributes to development of control algorithms and computer software to process sensor data, estimate state, and guide robotic systems. Surveys third-party engineering companies to identify appropriate enterprises for fabrication of prototypes, and later, for commercially viable fabrication. Participates in contract formation as company’s mechanical engineering technical resource. Maintains continuous liaison with third-party engineering companies, communicating specifications, documenting testing processes and modifications. Conducts on-site testing of prototypes to ensure correct and reliable functioning.

Requirements:

  • Education: Master’s Degree in Mechanical Engineering or closely related field.
  • Experience: 1 year of experience in Job Offered as ENGINEER, Autonomous Systems, OR, Research & Development Engineer in Mechanical Engineering as alternate occupation.
  • SPECIAL: Working knowledge of (a) computer-vision principles and robotic control systems and (b) sensor and actuator characteristics and capabilities (derived from academic courses, clinical exposure, or prior work experience, no minimum time specified).


Submit resume to 11150 West Olympic Blvd, Suite 820, Los Angeles, CA 90064 or innovate@utopiacompression.com.  Attn: HR.  UtopiaCompression Corp.

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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. 

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.

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:

We are seeking a strong C++ and Python R&D 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, GPUs, SoCs, and other embedded platforms. The candidate may be required to aid in research, analysis, and simulation studies, documentation, system integration, and testing.

Basic Requirements

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

Desired Expertise/Experience (Any one from below)

  • Proficiency in Matlab
  • Experience with libraries such as Boost, Eigen, HDF5, OpenCL, OpenCV, CUDA
  • 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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