aimlroles

Senior Engineer, Deep-Learning & 3D Computer-Vision

Sec Open · verified Oct 22, 2026
Hybrid Azrieli Building G Full-time Senior Machine Learning Engineering

At a glance

Senior Machine Learning Engineering role at Sec. Azrieli Building G · full-time.

Pay not stated Machine Learning Engineering salary

RoleMachine Learning Engineering
SenioritySenior
LocationAzrieli Building G
WorkplaceHybrid
EmploymentFull-time
PostedAug 10, 2026 · 2mo ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Research and build deep-learning, 3D vision and generative AI methods for camera imaging, robotics and simulation
  • Take projects from early experiments through deployment, making the resulting systems robust and scalable
  • Tune models for embedded and edge hardware to meet real-time needs
  • Shape technology plans and R&D investment choices while assessing new methods
  • Develop computer-vision features for 3D reconstruction, sensing, mapping and image enhancement

What you bring

  • A master’s or doctoral degree in physics or electrical engineering is required
  • At least eight years developing deep-learning or 3D vision systems from research through production
  • Deep expertise in at least one listed area, such as diffusion models, embodied AI or vision-language models
  • Strong Python, PyTorch and OpenCV skills, plus applied software engineering experience with agile methods and quality-focused development

Who this fits

This senior role suits an experienced engineer who can carry research into production and contribute to technical direction. The position is hybrid in Israel.

From the employer

Position Summary

Samsung Research IL is seeking for a skilled and innovative Senior Engineer – DL & 3D CV, to lead the development of next-generation computer vision, deep learning, and generative AI features.
This role focuses on state-of-the-art solutions for advanced 3D machine vision and camera innovation, including 3d reconstruction/sensing/mapping, novel camera/image processing/enhancement and simulations.
The engineer will join Samsung’s newly formed Camera Innovation R&D Team.

Our screening process:
2 -3 professional peer interviews
Hiring Manager Interview
HR Interview
Reference check
Managing Director Interview


Why Join Us?
• Opportunity to shape a newly structured research and innovation team.
• Opportunity to explore DL/3D CV/GenAI SOTA models and workflows
• Opportunities to publish research, generate IP, and influence long-term technology direction.

Role and Responsibilities

  • Prototype/research/develop advanced DL/3D CV/GenAI algorithms for various use-cases such as camera imaging, robotics and simulation

  • Manage the full lifecycle of DL projects, from research and prototyping to deployment, ensuring robust and scalable solutions.

  • Optimize models for embedded and edge platforms (e.g., NVIDIA Jetson) to meet real-time constraints

  • Guide the adoption of emerging technologies to elevate Samsung’s new solutions.

  • Stay at the forefront of developments in deep learning/computer vision/GenAI

  • Contribute to technology roadmaps and R&D investment decisions

Skills and Qualifications

  • MSc/PhD in Physics/EE - must

  • 8+ years of experience in DL/3D CV, with a proven track record of developing solutions from research to production - must

  • Proven in-depth experience with at least one of the following:

* Diffusion-based GenAI

* Embodied AI

* DL-based CV/Image processing (e.g., segmentation, image restoration, monocular depth estimation)

* Vision-Language Models

* Physics Informed Neural-Networks (PINN)

  • Strong programming skills in Python, PyTorch, and OpenCV

  • Strong applied software engineering skills, with experience in agile methodologies and quality-driven development.

  • Strong problem-solving skills, with the ability to navigate technical challenges and deliver innovative solutions.

  • Experience with rapid AI-first R&D

  • Advantage : experience with theoretical physical modeling/ simulation

  • Advantage: Experience with edge computing platforms (e.g., NVIDIA Jetson) and real-time system optimization.

  • Advantage: Extensive hands-on experience in developing and deploying DL-based software applications for camera systems, image processing, or video analysis.

  • Advantage: Experience with simulators (Gazebo, Isaac Sim, Unity) and real-world testing.

* Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here.