Question
Full-time
5-10

Leading Computer Vision Algorithm Engineer

12/16/2025

Lead and mentor a small team of engineers while driving research projects from initial ideas to final products. Design data strategies and implement state-of-the-art deep learning models to enhance product quality.

Working Hours

40 hours/week

Company Size

11-50 employees

Language

English

Visa Sponsorship

No

About The Company
Samsung Research Israel (SRIL), part of Samsung Electronics (SET), operates at the forefront of technological innovation through its two main hubs: Advanced R&D and Open Innovation. These departments focus on developing cutting-edge technologies to shape the future of Samsung Electronics. Guided by Samsung Research’s vision —"Shape the Future with Innovation and Intelligence"— we are driven to explore new growth opportunities and secure advanced technologies that create value and improve lives globally. SRIL actively collaborates with Israeli high-tech companies and academic institutions to integrate cutting-edge solutions into Samsung’s products, while also developing innovative technologies in-house. We lead advanced research in artificial intelligence, optics, and machine learning, aiming to deliver world-class technology with a global impact.
About the Role

Samsung Israel Research Center (SIRC) is shaping the world of tomorrow, today. Focusing beyond the horizon and pushing exciting developments in many key areas of technology. Samsung is creating a new era of continuous innovation, bringing value and contribution to society and creating a workplace where our employees can enjoy making the most of their talent, creativity and passion. 


Our Group:

We are looking for a talented and versatile Algorithm Engineer to join our Advanced Sensor group. In this role, you will tackle diverse research questions in the world of computer vision and imaging, working on high-value projects with the potential to make a significant impact on our products and business processes. You will collaborate with multidisciplinary experts to drive projects from initial ideas to final products.

We are looking for someone who can take a theoretical problem, break it down into a research plan, and drive it to a working solution under the mentorship of senior team members.


What will you do?

  • Lead & Mentor: Lead a small team of engineers, providing technical guidance, defining tasks and goals, and provide mentorship.
  • Strategic Vision: Lead the research roadmap for AI-based quality assessment, defining how we evaluate and develop next-generation sensors.
  • Data Strategy: Design comprehensive data strategies - from defining protocols for unique sensors to managing annotation pipelines and simulated data generation.
  • Algorithm Design: Research and implement SOTA Deep Learning models that correlate with the subjective human preferences.
  • Cross-Company Collaboration: Communicate complex technical concepts to counterparts in Israel and abroad to align on product requirements.

Requirements

  • MSc in Electrical Engineering / Computer Science / Physics / Mathematics - Must.
  • 6+ years of hands-on experience in Computer Vision and Deep Learning.
  • Expert-level proficiency in Python and PyTorch/TensorFlow – Must
  • Proven track record of leading projects and small team with multiple stakeholders; previous experience as a Tech Lead is highly preferred.

Advantages:

  • Solid understanding of the Image Signal Processing (ISP) pipeline (Denoising, Demosaicing, HDR, etc.).
  • Experience with Vision-Language Models and/or LLMs.
  • Background in Perceptual / Subjective Image Quality metrics.


*Applicants are asked to take special care to avoid sharing, using, or disclosing any trade secrets or confidential information belonging to their current or former employers, from the time they apply and throughout the entire recruitment process.

Key Skills
Computer VisionDeep LearningPythonPyTorchTensorFlowAlgorithm DesignImage Signal ProcessingVision-Language ModelsTeam LeadershipData StrategyQuality AssessmentResearchCollaborationMentorshipTechnical GuidanceProject Management
Categories
TechnologyEngineeringData & AnalyticsScience & ResearchManagement & Leadership
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