לוח משרות דרושים הייטק AI משרה מלאה, לחיפוש זה נמצאו 278 משרות

we are looking for a AI / Computer Vision Algorithm Engineer.
Key Responsibilities:
AI/Computer Vision Engineer to develop image-processing algorithms for next-generation ophthalmic diagnostic devices.
Full time, Hybrid
Develop advanced computer-vision algorithms for medical imaging.
Detect biomarkers related to specific use cases
Build models supporting diagnostic decisions.
Train deep-learning models (CNNs, ViT, Autoencoders).
Work with Python, PyTorch/TensorFlow, OpenCV.

CodeValue is looking for an experienced AI Solutions Architect to join our team and support the design and implementation of AI solutions across organizational systems. The role focuses on designing AI-based solutions to improve existing business processes, supporting development teams in implementing AI solutions, and defining scalable, secure, and compliant AI architectures. The position combines AI architecture, Cloud technologies, technical consulting, and cross-functional collaboration . This is not a pure hands-on development role; rather, it requires strong technical leadership, architectural thinking, and the ability to guide development teams throughout the implementation lifecycle.
Key Responsibilities Design and architect AI-based solutions for organizational and enterprise-wide use. Support development teams in planning and implementing AI solutions. Provide technical guidance and participate in POCs , including involvement at the code level when required. Define best practices and guidelines for the effective use of AI models. Develop technical procedures and guidelines for development teams while ensuring compliance with regulatory and information security requirements Design cross-organizational AI solutions, including solutions for making organizational data and information more accessible. Work with external vendors and partners on AI-based projects , including technical guidance, coordination, and quality control. Troubleshoot complex technical challenges and provide architectural solutions. Lead and coordinate technology initiatives and work closely with multidisciplinary teams. Support teams in adopting AI technologies and integrating them into existing systems and processes.

We are seeking a Senior AI Researcher to lead post-training evaluation, red-teaming, and reinforcement learning (RL) gym audits on open-weight models. The ideal candidate will establish rigorous benchmarking methodologies, evaluate large language models (LLMs) against complex threats like Indirect Prompt Injections (IPI), and construct post-training evaluation pipelines that accurately measure realistic frontier-level security capabilities. Key Responsibilities RL Post-Training & Benchmarking
* Execute post-training runs (e.g. GRPO) using mainstream open-weight generalist models against security-focused RL environments, targeting threat vectors like Indirect Prompt Injection (IPI).
* Reward Diagnostics & Trace Analysis - Analyze live loss curves and rollout traces to identify reward hacking, lazy policy convergence, and flawed or over/under-specified verifiers. Task & Environment Auditing
* Review tasks and multi-turn environments (including tool use, web navigation, and computer use) for realism, threat model accuracy, data distribution, and dataset balance. Performance Reporting (Gym Cards)
* Generate comprehensive evaluation cards detailing hill-climbing performance uplift across checkpoints, failure modes, tokens/turns per rollout, and task-level success rates. Integration & Orchestration
* Integrate dockerized environments (e.g., Harbor format) into internal training frameworks, optimizing reset/statefulness semantics, concurrency, and throughput ceilings.
Hybrid:
Yes

We're looking for an AI Researcher to help design and enhance core intelligence capabilities. You'll work at the frontier of large language models and conversational AI - run experiments, develop novel techniques, and transform research breakthroughs directly into product impact. This is a role for someone who wants to research real-world challenges and ship to production: you'll be pushing the state of the art in domains like conversational dynamics, speech understanding, and agentic question answering, while seeing your work reach millions of language learners.
What You'll Do:
Drive original AI research across LLMs, dialogue systems, speech, and language understanding - from hypothesis through design and all the way to deployment
Design and run rigorous experiments; develop novel model architectures, fine-tuning strategies, and training methodologies
Own the full research lifecycle - ideation, experimentation, evaluation, and deployment into production
Apply and extend state-of-the-art techniques (RL, instruction tuning, RAG, agentic workflows, multimodal models) to real user-facing challenges
Collaborate with engineering and product to transform research findings into shipped features
Define research direction in your area and contribute to long-term AI roadmap

We are looking for a talented, passionate, and experienced Senior GenAI Engineer to join our team. You will design and build production-grade GenAI applications from the ground up, using technologies such as Google ADK, Docker, and AWS (Bedrock, AgentCore etc). Were looking for someone with a genuine passion for GenAI, strong software engineering skills, hands-on experience developing GenAI solutions, and a collaborative, hands-on approach. You will also work closely with the teams researchers, helping transform research code and prototypes into reliable, secure, and scalable containerized applications that can be deployed and operated in the cloud.
Main Responsibilities:
Design and development of production-grade GenAI applications and agentic systems
Build and operate reliable, secure, and scalable AI-powered services, with a focus on performance, observability, and cost
Drive engineering best practices, including testing, evaluation, CI/CD, code review, and technical design, while contributing to product and technical innovation
Work closely with the teams researchers to transform research code and prototypes into reliable, containerized applications that can be deployed and operated in the cloud

Required Research Engineer, Generative Media
About the job
Research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.
The Creative Camera team mission is to imagine and build the future of photography and videography. Our team is reinventing digital imagery: from pioneering new generative and diffusion models for creating the highest-quality images and videos possible, to creating entirely new ways of capturing and reliving our experiences.
The Platforms and Devices team encompasses our various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.
Responsibilities
Design, implement, train, and evaluate deep learning architectures-particularly diffusion models and transformers-for image and video synthesis.
Develop and apply algorithms in computer vision, graphics, and machine learning for our applications, focusing on computational photography, computational videography, and content creation.
Conduct both fundamental and applied research to identify and solve creative, novel problems that revolutionize editing, and creation of visual media.
Leverage deep theoretical and practical knowledge to prototype new technologies that unlock visual experiences for users.
Build upon our strong track record of publishing graphics venues (with previous publications including Dreambooth, GameNGen, ObjectMate, LightLab, and many more), and successfully transfer these innovations into our products that reach millions to billions of users.

We're looking for a Senior Applied AI Scientist to sit at the frontier of AI security - turning emerging threats into the detection models that protect how AI is used inside the world's largest organizations. You'll be part of the AI Security Research department, working hand-in-hand with security researchers to translate threat intelligence into trainable signals that catch malicious behavior and security risks across the AI-powered workflows of Fortune 500 companies.

You'll bring deep technical versatility - reaching for classical ML, deep learning, or agentic based approaches based on what the problem demands, and the evaluation rigor to know when a model is truly ready for the real world. If you want to define what AI security engineering looks like, not just practice it, this role is for you.

Responsibilities:
Build, train, and ship detection models end-to-end, from raw data to production.
Choose the right method for each problem - traditional ML, deep learning, fine-tuned LLMs, agents or heuristics - based on theoretical insights turned into practical results.
Partner with security researchers to turn security research outputs and domain expertise into detection capabilities.
Own evaluation: design benchmarks, build labeled datasets, and define production standards.
Monitor models in production across all paradigms - ML, deep learning, LLM-based, and agentic systems to track degradation and ensure reliability.
Iterate fast, with a tight feedback loop between model performance and product outcomes.

This is a research‑first role focused on deeply understanding LLM internals to improve the security of AI agents. Youll design careful experiments on activations and interpretable features- e.g., probing, attribution & ablation/patching, representation‑geometry analyses-to uncover mechanisms behind jailbreak, indirect prompt injection, and other attacks. Then translate those insights into signals that can be used for detection and analysis of a model response.

The field of LLM interpretability at scale is exploding, with several major publications in the last months, and major opportunities for innovation.

Responsibilities:
Investigate model internals, including activation/features analysis, unsupervised clustering, discovery of directions in latent space, etc. It may also require training specific model parts to improve interpretability metrics.
Design security‑grounded evaluations: curate datasets for different attack types, evaluate performance of different white box (model internals) methods compared to black box (input/output only) baselines.
Publish and share: produce our Labs posts and open artifacts; when the work is strong, aim for tier‑1 ML venues (NeurIPS, ICML, etc.) and security forums. A publication of code and/or trained models in cases of community relevant novelty.
Build tools: Several open source libraries exist (like Anthropics attribution graphs infra), but the research in the field is very dynamic, which will require you to build and adapt tools to your own research directions. This also includes agents to automate research work and distill knowledge from designed experiments.

Required Research Engineer, Generative Media, DeepMind
About the job
Our team's mission is to build frontier generative media experiences. We are pushing the boundaries of what is possible by developing real-time, interactive video models like Genie, as well as exciting new applications and capabilities.
We have a proven track record of researching and delivering foundational generative models for video and action-controllable virtual worlds, as well as applications such as video stylization, reference-to-video generation, and precise object insertion and removal.
Artificial intelligence will be one of humanitys most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Responsibilities
Design, implement, train, and evaluate novel deep learning models for real-time generative media, including video-audio synthesis, manipulation, and understanding.
Develop and optimize algorithms and systems for AI experiences on Omni platforms, focusing on live dialog, live video editing, and crosscut.
Collaborate with research scientists and engineers to prototype, experiment, and scale generative AI techniques using software engineering best practices.
Contribute to the design of datasets, evaluation methodologies, and infrastructure required for training and testing generative models.
Analyze results to iterate on architectures, contribute to research publications, and help deploy successful research into GDM and our products.

Our data & AI Division is looking for data Engineer to join our team! We are looking for a data & AI Engineer to join our growing team and help design, build, and deliver modern data & AI solutions for enterprise customers. Full-time | Central Israel?Key Responsibilities

* Design, build, and maintain scalable data Pipelines and data Platforms
* Develop ETL /ELT processes and cloud-based data solutions
* Work with structured and unstructured data from multiple sources
* Build AI-powered solutions including AI Agents, RAG pipelines, and LLM-based applications
* Integrate AI and data solutions with enterprise systems using APIs and cloud services
* Develop data models, data warehouses, and lakehouse architectures
* Collaborate with data Scientists, BI teams, and business stakeholders
* Monitor, optimize, and troubleshoot production environments

we are the agentic intelligence platform for cyber and quality teams. We protect and analyze data from millions of connected assets worldwide, including vehicles, robots, charging stations, fleets, and the broader physical-AI ecosystem - for Fortune 500 companies. Our platform spans AI and API security, cybersecurity XDR, proactive quality detection, and cyber threat intelligence..
Runtime AI & API security is our fastest-moving frontier: securing AI agents, APIs, and MCPs in enterprise environments where autonomous systems now act on real-world infrastructure. we are uniquely positioned to lead the segment, focusing on the intersection of AI agents and physical assets, an angle no other vendor can claim.
We are building this into a fast-growth business line. You will lead our company's AI & API Security business globally - the number, the sales strategy, and the execution. This is a builder's role, and you will define and lead the sales motion, work closely with our regional sales leaders, marketing, product, and CSM teams, close the first flagship logos yourself, and then scale it through our global sales organization.
This role is full-time and is based in Herzliya, Israel.
Responsibilities
Lead the AI & API Security business - carry a global revenue target, and own pipeline, forecast, and pricing for the line of business.
Build and lead the AI & API Security sales motion - define ICP, segmentation, packaging, and the sales playbook, in partnership with regional sales leaders, product, marketing, CSM, and cyber services.
Sell directly - personally lead strategic enterprise outreach end to end, from first meeting through technical validation, solution review, procurement, and close.
Enable the global sales teams - arm regional sellers in North America, EMEA and APAC with training, playbooks, and deal support so AI & API Security scales beyond your own quota. Support the sellers in every stage of the deal and push for closing the deals.
Act as the subject matter expert of the offering - run discovery, architecture discussions, demos, and POVs; represent our company at customer executive briefings, industry events, and analyst conversations.

This is a role for someone who wants to help build the org of the future, where agents and people work side by side. A strong software engineer who wants to own complete solutions rather than one piece of a larger system. Youll be expected to figure out how to solve the problem and make it work.

What Youll Do
Take a problem from fuzzy to shipped - work from a rough definition and a priority, and figure out the rest.
Architect, build, and ship AI agents, applications, and intelligent workflows end-to-end. Integrate AI solutions with company data, APIs, and internal systems.
Rapidly prototype and experiment with new AI technologies, turning successful concepts into reliable production solutions.
Embed with internal users - sit with the team, watch how they work, map the process, build what fixes the highest-leverage part.
Own the build end-to-end - architecture, implementation, evals, logging, deployment.
Debug the non-deterministic - when a system fails on edge cases, you build the evals and guardrails to catch it rather than reading logs by hand.
Stay honest about what AI can and cant do - scope realistically, ship reliably, dont overpromise.

we are looking for a VP of Product Management to lead our Identity Security and AI Security product teams and shape how Tenable One addresses the emergence of agentic risk across the entire platform.
You Will:

Lead the Product Evolution. Take direct ownership of Identity Security and AI Security product teams - deciding, deliberately, where one domain's remit ends and the other begins as the line between "identity" and "agentic AI" keeps blurring for our customers.

Define the Strategy Before the Market Does. Build and pressure-test the hypotheses that will shape how Tenable - and the industry - thinks about agentic and non-human identity risk, then turn that into a roadmap and quarterly execution with engineering.

Own the Narrative at the Top. Represent this strategy to most senior leadership, including our CEOs, and to sales, field, and marketing - deciding when to lead with confidence and when to flag risk honestly.

Lead Without Borders. Build the kind of close, high-trust relationship with a distributed team - including a France-based PM - that most leaders only manage by accident of geography.

Reach Beyond This Scope. Take on the cross-functional, company-wide strategic work this platform-level view naturally creates - this role is intentionally bigger than any one product line.