Source Job

US

  • Developing and maintaining computer programs using Python and other programming languages to support computer vision and machine learning projects.
  • Researching, developing, and improving machine learning workflows and applications.
  • Utilizing neural networks and deep learning for object classification/detection/segmentation, Optical Character Recognition, and text localization.

Python Machine Learning Computer Vision Deep Learning

4 jobs similar to NIWC - Graduate Student - Shipboard Scene Understanding Detection and Identification of Objects (SSUDIO) Project (Task 56-1125079)

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Canada

  • Train, evaluate, and optimize machine learning models for high performance.
  • Contribute to R&D in object detection and multi-object tracking for remote sensing.
  • Design and deliver production-grade, maintainable code while managing multi-phase development.

Clarifai is a leading AI platform specializing in computer vision and generative AI. They empower organizations to transform unstructured data into actionable insights. Their globally distributed team operates across the United States, Canada, Estonia, Argentina, and India and is committed to building a diverse and inclusive team.

$199,200–$298,800/yr
US Canada

  • Develop and optimize computer vision algorithms for road model detection.
  • Design and implement deep learning models for road model inference in BEV frameworks.
  • Collaborate with robotics, software, and hardware engineering teams for seamless integration.

Torc has been a leader in autonomous driving since 2007, commercializing solutions with experienced partners and now focused on developing software for automated trucks.

Europe Unlimited PTO

  • Convert and Ship CVML R&D ideas to Axon Products.
  • Research and develop advanced MLLMs, GenAI, and Computer Vision techniques for cloud, devices and sensors from multimodal data sources.
  • Design and implement efficient and scalable MLLM models for inference and analysis of visual data.

Axon is on a mission to Protect Life with their ecosystem of devices and cloud software. Life at Axon is fast-paced, challenging and meaningful with a focus on growth and making a difference.

  • Design, develop, and maintain geometry processing and simulation algorithms for engineering applications.
  • Build services for reading, processing, and writing 2D/3D engineering data.
  • Develop rendering modules for generating 2D/3D visual assets.

They are an MIT-born, venture-backed Silicon Valley startup building a real-life 'Jarvis'. An AI Copilot for design and manufacturing with the goal to utilize advanced AI, physics simulation, and computer graphics to reduce costs and improve engineering productivity across all steps of the design and manufacturing process.