Requirements:
Practical experience in research of AI models, e.g. transformers, diffusion models, VAE/GAN.
Real passion and experience in AI generative area
Ph.D. in a related area, e.g. Computer Vision, Computer Graphics, VR/AR/MR.
Relevant experience to the position such as post-doctoral roles, a proven track record of publications from conferences e.g. Siggraph, ICCV, CVPR, ECCV, AAAI, NIPS.
Experience with machine learning or deep learning models, such as CNNs, RNNs and GANs.
Familiarity with computer vision libraries and machine learning framework, such as OpenCV, PyTorch, and TensorFlow.
Masters or PhD degree in computer science, electrical engineering, computer engineering, mathematics or other related field
Minimum 4 years of hands-on experience in research, engineering, or research & development
Proficiency in Python and C++
Minimum 4 years of experience with computer vision techniques such as object recognition, segmentation, classification, and tracking.

Requirements:
M.Sc. in Computer Science / Electrical Engineering from top-notch universities.
At least 6 years of hands-on experience in deep learning, computer vision, and machine learning in Python.
Experience in writing highly optimized, scalable and reliable code.
Experience in writing real-time code for a target hardware - Advantage
Strong knowledge of computer vision techniques, including object detection and semantic segmentation- Advantage.
Availability for a full-time position from our office HQ in Tel-Aviv.
Attributes:
Research skills: Ability to conduct independent research, stay up-to-date with the latest advancements in deep learning, and contribute to the development of new algorithms and models. Advantage - Publications in top-tier journals or conferences of computer vision or deep learning.
Team player: Collaborate with others, clearly communicate your results, and align your work with the team's goals, while maintaining your self-sufficiency.
Problem-solving skills: Ability to identify problems, evaluate alternatives, and implement effective solutions.
Adaptability: Openness to learning new techniques, adapting to changing requirements, and embracing new technologies.
Initiative: Proactive in taking on new challenges, seeking out opportunities to improve processes, and driving results.
Results-driven: we are looking for someone who is driven by results and has a strong work ethic.

Requirements:
msc or phd in electrical engineering, Computer Science, or computer engineering or equivalent experience.
at least 5 years of experience.
background in data center network protocols, threat modeling, and network security, as well as common mitigation techniques.
programming and debugging fundamentals across languages such as Python, and C / C ++.
strong communication skills and a genuine passion for working together as a team are vital.
ways to stand out from the crowd:
proven security research experience and publications in top security conferences.
experience with high-scale deployment challenges, rdma networking, and Machine Learning.
architectural background in hardware and software systems codesign.

Requirements:
M.Sc. or Ph.D. in Computer Science, Mathematics, Engineering or a related technical field.
5+ years of experience in NLP, machine learning or deep learning.
2+ years of experience managing ML/AI or software engineering teams
Excellent understanding of Deep Learning and modern NLP fundamentals, including Transformers, LLMs, RAG and Agents.
Hands-on experience with deep Learning frameworks (Pytorch, Tensorflow or JAX) and other relevant libraries (HuggingFace, vLLM, etc.).
Experience with LLM fine-tuning and deployment at scale on distributed GPU clusters.
Familiarity with STT / ASR models and common audio / speech processing methods.
Strong software engineering skills in Python.

Requirements:
Bachelors or Masters degree in Computer Science, Mathematics, or related field
5+ of experience in programming languages such as Python and experience with putting machine learning code into production
Experience in training LLMs, such as Llama, DeepSeek or similar
Experience in designing benchmarks and evaluating LLM applications
Passion for exploring new technologies and techniques to enhance improve algorithm performance and product features
Strong communication, collaboration, and problem- solving skills

Requirements:
5+ years of experience in deep learning and computer vision research, with a focus on 2D-to-3D modeling, animation or related areas
Experience in 3D reconstruction techniques, including structure from motion, photogrammetry, neural implicit representations, and animation pipelines
Self-driven attitude, end-to-end ownership
MSc in STEM from a leading university
Proven track record of research deliverables
Advantages
Experience with 3D libraries like Open3D, Blender Python API, or MeshLab
Experience with 3D modeling and animation software like Blender, Maya, or Cinema 4D
Hands-on experience with animation techniques and rigging

Requirements:
what we need to see:
msc or phd in electrical engineering, Computer Science, or computer engineering or equivalent experience.
5+ years of experience.
background in memory forensics, introspection, operating systems, and file systems as well as common malware patterns and mitigation techniques.
programming and debugging fundamentals across languages such as Python, and C / C ++.
strong communication skills and a genuine passion for working together as a team are vital.
ways to stand out from the crowd:
demonstrated security research experience and publications in top security conferences.
experience with high-scale deployment challenges, networking, and Machine Learning.
architectural background in hardware and software systems codesign.
we are widely considered to be one of the tech worlds most desirable employers. we have some of the most forward-thinking and talented people in the world working for us. if you're creative and autonomous, we want to hear from you.

Requirements:
minimum qualifications:
bachelors degree or equivalent practical experience.
2 years of experience programming in C ++, JAVA, go or Python, or 1 year of experience with an advanced degree in an industry setting.
2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies.
preferred qualifications:
1 year of experience in applied Machine Learning (e.g., computer vision, generative ai, llm).
1 year of experience in data science with a focus on analytics, Machine Learning, and visualization.

Requirements:
5+ years of experience in Windows internals, low and high-level attack-oriented development, penetration testing, and offensive security.
3+ years of experience in Python development.
Demonstrated skill in writing cyber-related code optimized for performance, memory, and stealth.
Experience with attack frameworks and tools such as Metasploit, Nmap, Cobalt Strike, Impacket, Burp, Pacu, and similar.
Proficiency in reverse engineering and debugging (e.g., IDA, Radare2, WinDBG) for low-level research.
Familiarity with cloud ecosystems and hybrid environments, specifically AWS, Azure.
Ability to apply AI or machine learning concepts and models to decision-making processes within the automated attack platform.
Excellent teamwork, adaptability, and a quick learning mindset.

Requirements:
Programming: Advanced proficiency in Python for backend development and AI applications
GenAI Mastery: Deep understanding of large language models (LLMs) and experience with major model APIs (OpenAI, Anthropic, Google, etc.)
Multi-Agent Systems: Expertise in designing and implementing GenAI multi-agent architectures
Prompt Engineering: Advanced skills in prompt design, optimization, and engineering techniques
Cloud Platforms:
Required: Hands-on experience with AI services in at least one major cloud platform (GCP, Azure, or AWS)
Advantage: Experience across multiple cloud platforms (AI Search, Vertex AI, SageMaker, etc.)
Development Frameworks: Experience with GenAI frameworks like LangChain and cloud-based retrieval services
Software Engineering: Strong background in microservices architecture, API development, and production system design
AI/ML Fundamentals: Solid understanding of deep learning principles and GenAI techniques
Containerization (Advantage): Experience with Docker and Kubernetes for deployment and orchestration
OCR Technologies (Advantage): Experience with Optical Character Recognition systems and document processing
Data Pipelines (Advantage): Experience building and maintaining data processing pipelines
Professional Experience:
Mid+ Level Experience: 2+ years in AI/ML development with significant GenAI project experience
Production Systems: Proven track record of deploying and maintaining AI solutions in production environments
Client-Facing Experience: Comfortable with technical presentations and requirement gathering sessions
Education & Background:
Preferred: Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related technical field
Alternative: Demonstrated industrial experience in developing deep learning and GenAI solutions (degree not required with strong portfolio)
Soft Skills:
Problem-Solving: Excellent analytical and creative problem-solving abilities
Communication: Strong technical communication skills for both technical and non-technical audiences
Collaboration: Proven ability to work effectively in cross-functional teams
Adaptability: Thrives in fast-paced environments and eager to learn emerging technologies
Consulting Mindset: Ability to understand client needs and provide strategic technical guidance