Senior Engineer, ML & Computer Vision

Position Summary

We are seeking a skilled and innovative Senior Engineer – ML & Computer Vision to lead the development of next-generation machine learning, deep learning, and generative AI features.
This role focuses on state-of-the-art solutions for advanced camera systems and robotic perception, including camera processing pipelines, image restoration, photo enhancement, 3D mapping, SLAM, sensor fusion, real-time processing, and deploying capabilities on edge computing platforms.
The engineer will join Samsung’s newly formed Camera Innovation R&D Team.

Role and Responsibilities

Key Responsibilities:

• 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.

Skills and Qualifications

Qualifications:

• 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.

Why Join Us:

• 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.

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