עוד משרות חדשות

1. סוג

   מרובה

   משרה

   عامل/ة اجتماعي/ة

   תמונה

   

   מיקום

   כל מקום

   תאריך פרסום

   3/5 2026

   
   

     פרטי משרה

   תוכן עמוד זה לא נמצא באותה שפה שבחרת לגלוש.

   يُعلن مركز علاجي للصحة النفسية في أم الفحم عن حاجته لتوظيف عاملة اجتماعية

    نوع الوظيفة: جزئية / كاملة

    شروط العمل: وفق حقوق צו הרחבה

    متطلبات الوظيفة:

   أفضلية لمن لديه/ا خبرة في مجال الصحة النفسية

   القدرة على العمل ضمن طاقم متعدد التخصصات

   الالتزام والمسؤولية في العمل

   مرخص من قِبل وزارة الرفاه الاجتماعي (بنكاس)

   للتفاصيل والتقديم يرجى التواصل على الرقم المرفق

   
   

   לדף המשרה

2. סוג

   משרה מלאה

   משרה

   عامل/ة إجتماعي/ة

   תמונה

   

   מיקום

   כל מקום

   תאריך פרסום

   3/5 2026

   
   

     פרטי משרה

   תוכן עמוד זה לא נמצא באותה שפה שבחרת לגלוש.

   مطلوب عامل/ة إجتماعي/ة للعمل في كفرياسيف

   ببحث عن عامل/ة اجتماعي/ة لبرنامج مشوار

   – سنة تحضيرية للشباب في المجتمع العربي

   متطلبات الوظيفة:

   – لقب اول عمل إجتماعي

   – افضلية لمن يمتلك خبرة بالعمل مع شبيبة في ضائقة

   – خبرة بتوجيه مجموعات

   – افضليه لشخص مُبدع، لديه القدرة على تخطيط وبناء ورشات عمل

   *الوظيفة تتضمن إرشاد فردي، ارشاد في مجموعة و ايام تعليمية

   * وظيفة كاملة بمنطقة كفرياسيف

   للمعنيين إرسال سيرة ذاتيه عالمييل

   
   

   לדף המשרה

3. סוג

   משרה חלקית

   משרה

   طالب/ة هندسة لمكتب هندسي

   תמונה

   

   מיקום

   כל מקום

   תאריך פרסום

   3/5 2026

   
   

     פרטי משרה

   תוכן עמוד זה לא נמצא באותה שפה שבחרת לגלוש.

   למשרד מהנדסים בתל אביב דרוש סטודנט שנה רביעית

   לתכנון ומידול קונסטרוקציית בטון ופלדה.

   העבודה במשרד בתל אביב.

   ניתן להתחיל במשרה חלקית (לפחות 3 ימי עבודה בשבוע)

   עדיפות לבעלי שליטה בתוכנות: Autocad, Revit, Strap, Beamd,

   המשרד מאמן.

   
   

   לדף המשרה

4. סוג

   משרה מלאה

   משרה

   مدير/ة مشروع بناء

   תמונה

   

   מיקום

   כל מקום

   תאריך פרסום

   3/5 2026

   
   

     פרטי משרה

   תוכן עמוד זה לא נמצא באותה שפה שבחרת לגלוש.

   

   
   

   לדף המשרה

5. סוג

   זמנית

   משרה

   AI Researcher

   General Motors

   תמונה

   

   מיקום

   כל מקום

   תאריך פרסום

   2/5 2026

   
   

     פרטי משרה

   תוכן עמוד זה לא נמצא באותה שפה שבחרת לגלוש.

   Job Description

   GM Israel (Herzliya) takes a significant part in introducing sophisticated software features into car in many domains like connected cars, advanced camera technologies and research. We shape the face of the future vehicles in diverse fields by developing cutting edge technologies that define how drivers experience safety, awareness, and confidence on the road.

   GM is committed to Zero Emission, Zero Crashes and Zero Congestion vision.

    

   About the Group:

   At the autonomous vehicles Foundational AI Research team in Israel, which is part of the GM AV AI Research organization, we are shaping next-generation autonomous driving, L3 and beyond. The AI Research organization is dedicated to advancing the state-of-the-art in AI for autonomous vehicles. We are a collaborative, forward-thinking group of researchers and engineers tackling some of the most complex challenges in autonomy and machine learning.

   The mission of the AI Research group based in the US, is to create groundbreaking technologies for next-generation autonomous vehicles by combining cutting-edge research with real-world innovation and technology incubation. Among several initiatives, we are building multimodal foundation models (vision–language–action) over fleet- and internet-scale data, and we are building controllable world models that generate realistic, multi-sensor driving data (camera, radar, LiDAR) to strengthen coverage and accelerate long-tail reduction for our L3 autonomy product.

    

   About the Role

   This position is limited to the three-month academic summer break. Students are expected to work full-time in a hybrid setup, including at least three onsite days per week.

   As an AI/ML Research Intern on the AI Research team, you’ll work on cutting-edge projects advancing vehicle autonomy, developing algorithms and models that shape the future of self-driving technology. This internship provides experience with real-world AI/ML systems, collaboration with leading researchers and engineers, and mentorship from experienced AV researchers to grow your skills in the autonomous vehicle industry.

    

   What will YOU do?

   • Lead research and prototyping of advanced machine learning methods, such as foundation models, vision-language architectures, diffusion models, image/video generation, self-supervised learning, imitation learning, and reinforcement learning.
   • Prototype ML models that improve perception, prediction, or decision-making for autonomous driving.
   • Collaborate with cross-functional teams, including perception, robotics, and systems engineering.
   • Participate in technical discussions, share insights, and work towards publishing results.

    

   Your Skills & Abilities (Required Qualifications)

   • Currently pursuing or in the process of obtaining a Ph.D. in Machine Learning, Artificial Intelligence, Computer Science, or a related technical field
   • Able to work fulltime during the academic summer break
   • Solid understanding of modern machine learning techniques, especially deep learning architectures (e.g., transformers, generative models, multimodal learning)
   • Proficiency in Python and ML frameworks such as PyTorch or TensorFlow
   • Research experience in AI/ML, demonstrated through coursework, academic projects, or publications

    

   What Can Give You a Competitive Edge (Preferred Qualifications)

   • Intent to return to degree program after the completion of the internship
   • Familiarity with autonomous vehicles or advanced driver assistance systems (ADAS)
   • Experience working with large-scale datasets and training ML models in high-performance computing environments.
   • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, CVPR, ICML, ICLR, AAAI, ECCV, RSS, ICRA, CoRL, or similar.
   • Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches
   • Experience building systems based on machine learning, reinforcement learning and/or deep learning methods

   
   

   לדף המשרה