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Computer Vision Engineer

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3 ימים
מכון ויצמן למדע
Location: Rehovot
Additional Benefits: קרן השתלמות
ML and Computer Vision Expert position for SAMPL lab at Weizmann institute.
The Signal Acquisition, Modeling, Processing and Learning (SAMPL) Lab at Weizmann Institute of Science (WIS), is looking for an experienced machine learning and computer vision expert to work on leading technology research projects in the field of medical imaging, computer vision, medical data and radar.
Experience with development of algorithms for medical imaging, use of image processing tools, computer vision, ML, state-of-the-art AI algorithms and deep learning frameworks (PyTorch, Tensorflow, Keras, etc.).
Candidates will work with leading medical institutions in Israel and around the world
Requirements:
Minimum requirements:
B.Sc. in Electrical engineering / Computer Science / Bioinformatics / Biomedicine or equivalent - Master's/PHD degree is an advantage
Over 5 years of research and development of machine learning algorithms
Over 3 years of Python development experience
Hands-on experience with machine learning frameworks and practical experience in developing algorithms in the field of computer vision
Experience in building end-to-end prototypes and applications based on machine learning
Experience in working with medical data - an advantage
Matlab and OpenCV experience - an advantage
Team player with an ability to function independently with minimal supervision, good interpersonal and communication skills. Self-motivated personality
High skills in English - both speaking and writing
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הגשת מועמדות
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2234
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דיווח על תוכן לא הולם או מפלה
מה השם שלך?
תיאור
שליחה
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
4 ימים
Google Israel
Location: Tel Aviv-Yafo
Job Type: Full Time
As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

Our team focuses on developing foundation models for remote sensing (i.e., satellite, aerial) imagery. We aim to simplify and enhance various remote sensing tasks including land use/land cover segmentation, object detection, and change detection for use by Google teams and external partners. We also investigate natural language interfaces for remote sensing imagery through vision-language models and tasks such as captioning and visual question answering.

Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.

Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.

Responsibilities
Explore research directions, generate hypotheses and perform rigorous experimentation in several sub-domains (e.g., pre-training recipes, multi-modality, temporal sequences).
Contribute to shaping the team's roadmap, help prioritize research directions, with focus on innovation and usability.
Work with other researchers across Google to connect multiple geospatial efforts.
Help teams use foundation models and optimize its use on their tasks.
Advise and mentor team members.
Requirements:
Minimum qualifications:
PhD degree in Computer Science, a related field, or equivalent practical experience.
Experience in building computer vision models using machine learning techniques.
Experience leading a research agenda.
One or more scientific publication submission(s) for conferences, journals, or public repositories.

Preferred qualifications:
Experience building, tuning, evaluating, and using foundation models.
Experience with Remote Sensing data (e.g., multi-spectral, hyper-spectral, SAR) and Google Earth Engine.
Excellent software engineering skills using Python or C++.
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הגשת מועמדות
עדכון קורות החיים לפני שליחה
113540
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דיווח על תוכן לא הולם או מפלה
מה השם שלך?
תיאור
שליחה
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
6 ימים
KLA Tencor Israel
Location: Migdal Haemek
Job Type: Full Time
KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the worlds leading technology providers to accelerate the delivery of tomorrows electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
Group/Division

With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLAs metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. The Optical Metrology Division products are used for optical overlay metrology. The portfolio of products includes unique solution packages which are based on hardware and software systems to enhance yield and effectiveness. As a world leader in its field of expertise, the division's products are the most advanced in performance (measurement accuracy of nanometers and below), reliability, ease of use and compatibility with other KLA's products. KLA (Israel) controls over 80% of the world market sales in its field, and its products are used by every major semiconductor manufacturer around the world. KLA Israel is located in the Migdal Haemek Industrial Park.
Job Description/Preferred Qualifications

Join us as an Algorithm Developer for AI-Powered Computer Vision!

Are you passionate about cutting-edge AI and computer vision? Do you thrive in a creative, fast-paced environment where innovation drives impact? Were looking for a talented Algorithm Developer to join our R&D team and help shape the future of Optical Metrology for Semiconductor Devices.

What Youll Do:

Lead the research and development of advanced algorithms for next-gen optical metrology systems.

Tackle complex, real-world challenges in a multi-disciplinary, collaborative environment.

Work closely with top-tier experts in AI, optics, and semiconductor technologies.

Drive the full algorithm lifecycle: from concept and feasibility to implementation and on-tool integration.

Analyze diverse data sets and apply sound judgment to develop innovative solutions.
Why Join Us?

Be part of a visionary team pushing the boundaries of AI and optics.

Enjoy a creative and supportive work culture that values innovation.

Make a real impact in a high-tech, high-growth industry.
Requirements:
Minimum Qualifications

MSc or PhD in Electrical Engineering, Computer Science, or Physics.

3+ years of hands-on experience in AI and image processing.

Strong skills in Python for algorithm development.

Background in optical systems or microscopy a big plus!

Experience in the semiconductor industry an advantage.
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עדכון קורות החיים לפני שליחה
112136
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דיווח על תוכן לא הולם או מפלה
מה השם שלך?
תיאור
שליחה
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
6 ימים
Meta
Location: Tel Aviv-Yafo
Job Type: Full Time
Our XR Tech organization in Tel-Aviv is focused on research and development of machine perception technologies from early concepts to production level across all of Metas RL products and surfaces including AR/VR products and Family of Apps (Facebook, Instagram, Messenger, WhatsApp). We develop core capabilities across a range of product domains including mixed reality, scene and object understanding, world-scale mapping, avatars, AR/VR remote presence / calling, digital fashion, AR Sharing, and more.

Your job will be to both manage and partner with groups working across the full spectrum from research to product development, managing our technical investment portfolio supporting Tracking and SLAM for AR/VR products across different timelines. You will oversee and be responsible for a broad array of state-of-the-art technology areas and product integrations. Prospective candidates should have sufficient technical depth and breadth in the associated set of technologies to make portfolio management, resourcing and roadmap decisions.
Engineering Manager, Computer Vision Responsibilities
Leading an organization comprised of applied scientists and engineers from prototyping across development and integration of advanced systems relying heavily on Computer Vision and Machine Learning technologies.
Owning the development of system requirements, and collaborating with respective teams to mature and integrate technologies necessary to create product architectures that can deliver these requirements.
Engaging cross-functionally with other researchers and engineers to develop concepts that advance the entire product pipeline across hardware, software, integration, infrastructure, and applications.
Champion engineering and operational excellence, establishing metrics and processes for regular assessment and improvement.
Recruit world-class talent and provide technical leadership and guidance to both your team members and your project peers.
Set clear expectations and create a positive work environment based on accountability, in collaboration with the engineering and management teams.
Coordinating with research, user research, art, partnership and legal to both define and execute technology development with key partners & suppliers.
Operate strategically and tactically. Working closely with various organizations to define and execute the long-term strategies and roadmaps and help set direction while staying on top of the day to day software development.
Provide technical leadership and guidance to both your team members and your project peers.
Requirements:
BS degree in Engineering, Physics, Computer Science or equivalent experience.
Experience of people management in multi-disciplinary global teams at the intersection of tech and product, including building performing teams and organization.
Experience supporting an engineering and research organization through technical leadership.
Demonstrated experience in recruiting and managing technical teams, including performance management.
Experience in managing teams productizing Computer Vision or AI/Machine Learning technologies from conception to end.
Leadership and interpersonal communication experience in working across many disciplines, driving best practices, and mentoring team members.
Technical experience in leading teams/projects in one or more of the technical domains of machine perception (i.e., machine vision, deep learning, sensors and robotics).
Preferred Qualifications
MSc or PhD in a related field of Computer Vision, or AI/Machine Learning in domains related to SLAM/Position Tracking, 3D reconstruction, depth sensing, bayesian filtering, information theory, or 3D geometry.
Experience managing joint hardware-software development and associated rapid prototyping projects.
Experience in leading teams interfacing with HW (sensors, silicon) teams in setting requirements and product tradeoffs.
Flexibility and resilience in a dynamic environment.
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108886
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