לוח משרות דרושים חוקר בינה מלאכותית בתל אביב יפו

Requirements:
Minimum qualifications:
Bachelor's degree or equivalent practical experience.
5 years of experience in product management or related technical role.
2 years of experience taking technical products from conception to launch.
Experience in product management, including technical product development with cross-functional teams (e.g., Research Scientists, Software Engineers, UX/UI, and Product/Program Management).
Experience with applications of machine learning, AI, image processing, computer vision, or computational photography and videography.
Preferred qualifications:
Experience launching innovative consumer-facing creative features.
Experience driving consensus and decisions across multiple partner teams.
Experience and passion in creative photography and videography.
Knowledge of machine learning or image/video processing algorithms for imagery applications.
Ability to learn technical concepts and apply them to product design.
Excellent communication and presentation skills, with the ability to present to leadership.

Requirements:
- Bachelors degree in data Science, Computer Science, Computer Engineering, or related field. - 2+ years of experience in data Science roles. - Proven experience managing AI/ML project lifecycles from conception to deployment. - Deep understanding of classic ML, deep learning, and LLMs. - Strong proficiency in Python and experience with frameworks such as PyTorch, Scikit-Learn, and TensorFlow. - Hands-on experience with low-level programming in C / C ++. - Team player with strong collaboration and communication skills. - Quick learner with ability to adapt to new tools, methods, and frameworks. Preferred Qualifications: - Background in mobile app research or development ( Android / IOSgreenTxtBg!). - Image processing experience. - Reverse engineering experience with tools like IDA, gdb, and lldb. - Knowledge of OS internals. - Cybersecurity background with understanding of threat landscapes and attack vectors. About the Company:our company's mission is to protect every mobile app worldwide and its users. We provide mobile brands with the only patented, centralized, data -driven Mobile Cyber Defense Automation platform. Our platform delivers rapid no-code, no-SDK mobile app security, anti-fraud, anti-malware, anti-cheat, anti-bot implementations, configuration as code ease, Threat-Events threat-aware UI / UX control, ThreatScope Mobile XDR, and Certified Secure DevSecOps Certification in one integrated system. With our company, mobile Developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, TEST, release, and monitor the full range of cyber, anti-fraud, and other defenses needed in mobile apps from within mobile DevOps and CI/CD pipelines. Leading financial, healthcare, m-commerce, consumer, and B2B brands use our company to upgrade mobile DevSecOps and protect Android & IOS apps, mobile customers, and businesses globally. Today, our company's customers use our platform to secure over 50,000+ mobile apps, with protection for over 1 billion mobile end users projected.
we are an Equal Opportunity Employer. We are committed to diversity, equity, and inclusion in our workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. All qualified applicants will receive consideration for employment without regard to any of these characteristics.

Requirements:
Ph.D. or MSc in Computer Science, Electrical Engineering, or another relevant field from a recognized institute.
Prior experience in leadership roles within R&D teams, or as a VP R&D/CTO in a startup setting.
In-depth expertise in Vision AI (preception), specifically in areas like Deep Learning and Computer Vision. A solid math background is a plus.
Demonstrated skill in taking an AI-related challenge, planning its execution, and leading the charge.
A hands-on approach is essential; this role is not about people management.
Strong coding skills with extensive experience, preferably in Python and CPP.
Excellent interpersonal skills, emphasizing both generosity and engagement.
Specific experience in real-time, physical-world applications, such as the autonomous vehicles sector.

Requirements:
5+ years of experience in software engineering, applying modern design patterns and best practices.
Proven hands-on experience with Generative AI technologies.
Solid experience working with cloud platforms (e.g., AWS, GCP, Azure).
Deep understanding of production environments, including testing methodologies, monitoring, and deployment processes.
Strong debugging skills: ability to identify, diagnose, and resolve issues while improving code readability and system reliability.
Proficient in Python and SQL.
Familiarity with software development best practices, Git, CI/CD, and modern DevOps principles.
Bachelors degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
You write clean, maintainable, and well-documented code.
A proactive team player with strong organizational skills and a get things done attitude.

Requirements:
Minimum 7 years of full-stack development experience, with at least 2 years in a leadership role.
Strong experience with Node, React, Python, SQL or any equivalent language.
Experience with cloud, DevOps, and modern tooling (e.g., GCP/AWS, Kubernetes, Docker, CI/CD).
Excellent problem-solving skills and ability to handle multiple projects in a fast-paced environment.
Strong communication skills, with the ability to interact effectively with both technical and non-technical stakeholders.
Passion for innovation, AI technology, and building scalable, impactful products.
BSc in Computer Science, or Engineering degree is a plus.
Ability to thrive in a fast-paced, dynamic environment with a proactive and goal-oriented mindset.

Requirements:
Bachelor of Science or equivalent experience
12+ years of networking experience in enterprise or service provider environments, with strong hands-on expertise in routing and switching.
Proficient in scripting and automation using Python or similar languages, with strong Linux expertise.
Proven experience working directly with customers to resolve issues and ensure success in Systems Engineer or SRE roles.
Exceptional oral, written, and presentation skills for clearly communicating complex technical topics.
Demonstrated ability to collaborate effectively across teams, partnering with operations, engineering, and product development
Ways to stand out from the crowd:
Experience with data center infrastructure and cloud architectures
Background in network performance monitoring or observability
Previous experience working at a technological start-up.

Requirements:
Strong background in theoretical linguistics (syntax, semantics, pragmatics) or other relevant language sciences
Excellent/native written and verbal communication skills in both Hebrew and English
Excellent/native written and verbal communication skills in French
Status of an active student who completed at least two courses in linguistics (or equivalent) with a grade average of at least 90

Requirements:
M.Sc. or PhD. in Computer Science, Mathematics, Engineering or a related field
5+ years of hands-on experience developing and deploying machine learning models into production
Strong background in ML, Deep Learning, NLP, preferably with a focus on audio/video transcription and analysis
Experience in leveraging large-scale compute resources, including distributed GPUs, to train, test, and evaluate models
Proficiency in programming languages such as Python, and experience with relevant libraries and frameworks (OpenCV, TensorFlow, PyTorch, etc.)
Excellent verbal and written communication skills.

Requirements:
An M.Sc. degree in computer science, statistics, or a related field is a must; a Ph.D. degree is an advantage.
At least 3 peer-reviewed publications in reputable academic journals or conferences.
5+ years of experience in leading and managing data science and machine learning projects, preferably at the intersection of AI and cybersecurity.
Experience and hands-on familiarity with distributed cloud systems.
Strong knowledge of deep learning models and common model architectures such as transformer models, LLMs, CNNs, RNNs. Knowledge of programming languages that are used in AI researchlike Pythonand experience with AI frameworks (e.g., Hugging Face, LangChain, OpenAI, scikit-learn, TensorFlow, PyTorch).
Proven ability to work independently in a fast-paced environment and come up with creative solutions to challenging problems.
Excellent communication (both written and verbal) and presentation skills.