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Samsung Electronics

Senior Engineer, ML, Computer Vision

Samsung Electronics

Senior Engineer developing advanced ML & computer vision algorithms for camera systems at Samsung. Working on robotic perception, image processing, and state-of-the-art technologies in a collaborative environment.

Posted 6/7/2026full-timeHerzliya • 🇮🇱 IsraelSeniorWebsite

Tech Stack

Tools & technologies
PythonPyTorchUnity

About the role

Key responsibilities & impact
  • Research, design, and develop advanced computer vision (CV, ML, DL, GenAI) algorithms for camera systems and photo enhancement features
  • Develop image and video processing, object recognition, and scene understanding algorithms to drive innovation in camera performance
  • Research, design, and implement real-time robotic perception pipelines for unstructured environments
  • Develop and integrate SLAM, visual odometry, object detection, segmentation, and 3D mapping algorithms using multi-sensor fusion (RGB-D, IMU, LiDAR, etc.)
  • Optimize perception and ML models for embedded and edge platforms (e.g., NVIDIA Jetson) to meet real-time constraints
  • Drive adoption of emerging technologies such as Gaussian Splatting, 3D occupancy mapping, and LLM-based reasoning
  • Validate performance through simulation (Gazebo, Isaac Sim, Unity) and real-world testing
  • Manage the full lifecycle of ML/DL projects, from research and prototyping to deployment, ensuring robust and scalable solutions
  • Collaborate with cross-functional teams across Samsung to integrate ML/DL algorithms into hardware and software platforms
  • Stay at the forefront of developments in machine learning, computer vision, and deep learning, and guide the adoption of emerging technologies to elevate Samsung’s camera solutions
  • Apply parameter-efficient optimization and advanced ML techniques for high-performance inference in constrained environments
  • Contribute to technology roadmaps and R&D investment decisions to ensure long-term success in camera technologies

Requirements

What you’ll need
  • MSc or PhD in Computer Vision, Artificial Intelligence, Computer Science, Electrical Engineering, or a related field
  • Proven experience with at least one of the following: SLAM, sensor fusion, 3D scene understanding, and embedded AI deployment
  • ML/DL-based image processing or video analysis (e.g., image restoration, depth maps)
  • Strong programming skills in Python and C++, with expertise in ROS/ROS2, PyTorch, and OpenCV
  • Experience with edge computing platforms (e.g., NVIDIA Jetson) and real-time system optimization
  • 8+ years of experience in ML, DL, CV, or related fields, with a proven track record of developing solutions from research to production
  • Extensive hands-on experience in developing and deploying ML/DL-based software applications for camera systems, image processing, or video analysis
  • Strong applied software engineering skills, with experience in agile methodologies and quality-driven development
  • Exceptional problem-solving skills, with the ability to navigate technical challenges and deliver innovative solutions
  • Preferred: Experience with large language models (LLMs) and applying advanced optimization techniques

Benefits

Comp & perks
  • Opportunity to shape a newly structured research and innovation team
  • Collaborate with world-class experts in cameras and robotics
  • Access advanced hardware, simulation environments, and high-performance compute resources
  • Opportunities to publish research, generate IP, and influence long-term technology direction

ATS Keywords

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Hard Skills & Tools
computer visionmachine learningdeep learningimage processingobject recognitionSLAMsensor fusion3D mappingreal-time optimizationparameter-efficient optimization
Soft Skills
problem-solvingcollaborationinnovationproject managementcommunicationleadershipagile methodologiesquality-driven development
Certifications
MSc in Computer VisionPhD in Artificial IntelligencePhD in Computer SciencePhD in Electrical Engineering