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Senior Engineer, ML, Computer Vision
Samsung ElectronicsSenior 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.
Tech Stack
Tools & technologiesPythonPyTorchUnity
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
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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