Jobs
Required Skills
Python
C++
Computer Vision
Machine Learning
Deep Learning
SLAM
Sensor fusion
Object detection
Image processing
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:
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Research, design, and develop advanced computer vision (CV, ML, DL, GenAI) algorithms for camera systems and photo enhancement features.
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Develop image and video processing, object recognition, and scene understanding algorithms to drive innovation in camera performance.
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Research, design, and implement real-time robotic perception pipelines for unstructured environments.
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Develop and integrate SLAM, visual odometry, object detection, segmentation, and 3D mapping algorithms using multi-sensor fusion (RGB-D, IMU, LiDAR, etc.).
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Optimize perception and ML models for embedded and edge platforms (e.g., NVIDIA Jetson) to meet real-time constraints.
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Drive adoption of emerging technologies such as Gaussian Splatting, 3D occupancy mapping, and LLM-based reasoning.
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Validate performance through simulation (Gazebo, Isaac Sim, Unity) and real-world testing.
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Manage the full lifecycle of ML/DL projects, from research and prototyping to deployment, ensuring robust and scalable solutions.
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Collaborate with cross-functional teams across Samsung to integrate ML/DL algorithms into hardware and software platforms.
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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.
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Apply parameter-efficient optimization and advanced ML techniques for high-performance inference in constrained environments.
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Contribute to technology roadmaps and R&D investment decisions to ensure long-term success in camera technologies.
Skills and Qualifications
Qualifications:
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MSc or PhD in Computer Vision, Artificial Intelligence, Computer Science, Electrical Engineering, or a related field.
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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).
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Strong programming skills in Python and C++, with expertise in ROS/ROS2, Py Torch, and OpenCV.
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Experience with edge computing platforms (e.g., NVIDIA Jetson) and real-time system optimization.
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8+ years of experience in ML, DL, CV, or related fields, with a proven track record of developing solutions from research to production.
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Extensive hands-on experience in developing and deploying ML/DL-based software applications for camera systems, image processing, or video analysis.
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Strong applied software engineering skills, with experience in agile methodologies and quality-driven development.
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Exceptional problem-solving skills, with the ability to navigate technical challenges and deliver innovative solutions.
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Preferred: Experience with large language models (LLMs) and applying advanced optimization techniques.
Why Join Us:
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Opportunity to shape a newly structured research and innovation team.
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Collaborate with world-class experts in cameras and robotics.
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Access advanced hardware, simulation environments, and high-performance compute resources.
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Opportunities to publish research, generate IP, and influence long-term technology direction.
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About Samsung
Reviews
3.7
15 reviews
Work Life Balance
2.0
Compensation
2.5
Culture
1.5
Career
2.0
Management
1.8
15%
Recommend to a Friend
Pros
Hardware/technology leadership
Competitive salary offers for some roles
Sign-on bonuses available
Cons
Toxic culture and politics
Poor work-life balance with strict RTO policies
Micromanagement and employee tracking
Salary Ranges
22 data points
Senior/L5
Senior/L5 · Digital Transformation Manager
1 reports
$180,827
total / year
Base
$157,414
Stock
-
Bonus
-
$180,827
$180,827
Interview Experience
6 interviews
Difficulty
2.2
/ 5
Duration
14-28 weeks
Offer Rate
67%
Experience
Positive 33%
Neutral 33%
Negative 34%
Interview Process
1
Application Review
2
Phone Screen
3
Technical/Video Interview
4
Team Interview
5
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
Role-Specific Skills
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