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Machine Learning Engineer

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Job Description

Job Description

Summary:

Join a successful and growing aerospace company in Irvine, CA, as an Algorithms Video Engineer. This role focuses on cutting-edge video processing technology, where you will contribute to the design, development, and implementation of advanced computer vision and video processing pipelines. Play a vital role in advancing Human Space Exploration!

Responsibilities:

  • Develop and implement computer vision algorithms on embedded systems for identifying, tracking, and classifying airborne and ground-based objects using high-speed cameras.
  • Design and optimize AI/ML models for deployment on resource-constrained embedded platforms, focusing on memory, processing power, and energy efficiency.
  • Participate in the complete software development lifecycle, including requirements gathering, system design, testing, deployment, and maintenance.
  • Evaluate and optimize algorithms to ensure efficient and accurate real-time performance of high frame rate machine vision systems.
  • Stay updated on advancements in AI, machine learning, and computer vision; propose innovative solutions to enhance product offerings.
  • Effectively document and communicate technical concepts, algorithms, and implementation details to team members and stakeholders.
  • Mentor junior team members, providing guidance and technical expertise to support their professional growth.

Must Haves:

  • 3+ years of industry experience in developing and implementing machine learning and computer vision algorithms and workflows.
  • Bachelor's or higher degree in Computer Science, Data Science, Electrical Engineering, Physics, or a related field.
  • Solid understanding of AI/ML techniques, deep learning frameworks, and computer vision.
  • Strong programming skills in C/C++ and Python.
  • Experience with hardware-software integration and optimization for embedded systems, including GPU acceleration and multi-core processing.
  • Familiarity with video processing pipelines and workflows.
  • Proficiency in working with ARM-based SoCs and microcontrollers.
  • Knowledge of basic image processing techniques, camera systems, and sensor integration.
  • Understanding of real-time operating systems (RTOS) and software development for embedded systems.
  • Excellent problem-solving skills and the ability to work both independently and collaboratively.
  • Strong communication skills for conveying complex technical concepts.

Nice to Have:

  • TC/SCI or Secret Clearance.
  • Experience in embedded software development is a plus.

If you're passionate about advancing aerospace technology and possess the required skills, we encourage you to apply today!

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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