לוח משרות דרושים הייטק AI

We're looking for a AI Research Scientist to join us in spreading the power of our company and push the boundaries of AI in cybersecurity. You'll be at the forefront of developing novel AI modelsfocusing transformers and LLMsthat advance how cybersecurity operates. Contribute to the wider AI and cyber communities through publications and conference presentations, establishing our company as a thought leader at the intersection of AI and cybersecurity.
WHAT YOULL DO
Develop and research novel AI models, focusing on transformers and deep learning. Lead mid- to long-term projects aimed at advancing AI-driven features in the cybersecurity domain for our company products.
Conduct experiments and evaluate the performance of AI models, algorithms, and techniques using real-world datasets and simulated environments.
Stay informed about cutting-edge AI methodologies, frameworks, and tools and apply them to improve security solutions accuracy, efficiency, and scalability.
Collaborate with engineering teams to design, build, and maintain production pipelines. Work closely with the Security Research and Product teams to define research goals.
Publish research findings and AI thought leadership content and present at leading conferences such as NeurIPS, ICML, or CVPR.

We are looking for an AI Developer with hands-on technical skills to join our team. This role combines development skills with product leadership and expertise in AI technologies. You will be responsible for the full lifecycle of AI agents, from vision and strategy through design, development and deployment. You will be deeply involved in building intelligent AI agents, engineering guidelines and designing impactful products that are at the intersection of technology and User Experience.
* Define and communicate the product vision and roadmap for AI-driven solutions, aligning business goals with technical feasibility.
* Take an active role in designing, coding and delivering AI agents, working as a full member of the development team.
* Research, create and optimize guidelines to improve Large Language Model (LLM) outputs in terms of accuracy, relevance and user satisfaction.
* Manage the full lifecycle of AI agents - from concept to launch and beyond, including monitoring and improving them over time.
* Analyze product performance using key performance indicators (KPIs) and drive continuous improvement based on data and user feedback.
* Ensure that AI solutions are designed and deployed in accordance with the principles of responsible AI, with a focus on transparency, fairness, and trust.

Welcome to Chargeflow Chargeflow is at the forefront of fintech + AI innovation, backed by leading venture capital firms. Our mission is to build a fraud-free global commerce ecosystem by leveraging the newest technology, freeing online businesses to focus on their core ideas and growth. We are building the future, and we need you to help shape it. Who We're Looking For - The Dream Maker We are searching for a Senior AI Product Manager who can bridge the gap between AI capabilities and business impact. You will be responsible for identifying and embedding AI into our product in ways that drive value, create efficiencies, build competitive advantage, and unlock new revenue opportunities At Chargeflow, we appreciate your past, but mainly focused on the future and what we can achieve together. This is your opportunity to lead AI-first product development in a fast-paced startup, where your work directly impacts the future of the online commerce. Your Arena - Know your impact ?? As a Senior AI PM , you will be the bridge between cutting-edge AI technology and real-world business impact. You will own the end-to-end productization of AI by turning today’s most advanced models into intuitive, high-impact features. From discovery to launch to optimization, your focus will be on delivering AI-driven innovation that matters Strategic Ownership : Define and evolve the AI product roadmap, aligning initiatives with business goals and measurable outcomes. Prompt Engineering Mastery : Design, test, evaluate, and optimize prompts to ensure consistent, high-quality outputs from LLMs. Productization of AI : Translate model capabilities into seamless, reliable, and efficient product experiences. Cross-Functional Leadership : Partner with Engineering, Design, and Ops to scope, build, and ship AI-powered features that are usable, compliant, and impactful. Experimentation & Validation : Run quick experiments to validate hypotheses, measure ROI, POCs, and ensure every AI investment delivers clear value to the business and customers. Discovery & Delivery : Proactively discover and validate new features and enhancements through data to solve your problem area while ensuring timely and efficient delivery. Internal Evangelism : Champion AI adoption across the organization. Help stakeholders understand what’s possible (and what’s not) with today’s models. Market Awareness : Stay on top of the rapidly evolving AI ecosystem and assess which external models, APIs, or tools should be brought into our product.

Our AI Solutions team in Israel is looking for an AI / machine learning / data engineer to join the LLM-based solutions engineering group. The team develops and sustains large language model (LLM)-powered tools that drive root cause analysis (RCA) and intelligent debugging for our current and next-generation hardware platforms. Our work accelerates issue resolution, improves product reliability, and powers the worlds most advanced GPU and data center technologies.

Our Hardware Networking division is a global leader in delivering end-to-end accelerated computing and connectivity solutions for high-performance data centers. We design innovative GPUs, networking platforms, and AI software that power modern workloads: from large language models and deep learning to cloud, enterprise, and hyperscale environments. Our products optimize performance and reliability at scale, supporting industries such as AI/ML, cloud, HPC, autonomous vehicles, and media & entertainment. We continually reinvent our platforms to stay ahead of the market and deliver breakthrough solutions that transform how computing and hardware engineering are done.

What youll be doing:

Build and maintain data pipelines and ETL flows for logs, telemetry, and hardware test data supporting AI/ML workflows.

Prepare, clean, and structure large, complex datasets (structured & unstructured) to train and fine-tune LLMs.

Assist in developing and deploying LLM-based applications for root cause analysis and hardware debugging.

Experiment with prompt engineering, retrieval-augmented generation (RAG), and vector search to integrate knowledge into models.

Collaborate with hardware, reliability, and AI platform teams to embed intelligent debugging tools into our engineering ecosystem.

Monitor and evaluate model performance, ensuring accuracy, scalability, and reliability in production environments.

Required Manager 3, AI Science
Job Overview
Manage a global group of AI scientists teams dedicated to developing and deploying AI solutions that help ensure Trust and Safety across our products and services. Drive research, development, and implementation of advanced AI along with ML technologies, while fostering a collaborative and innovative environment.
Responsibilities
Lead global AI Science teams, specializing in Fraud and Content Moderation.
Recruit and mentor top AI Scientists in Israel and US.
Apply AI/ML to address Fraud and content issues, driving innovation and growth.
Deliver impact through data-driven insights and advanced analytics.
Provide technical and strategic leadership in AI science.
Inspire AI innovations to enhance platform safety and fraud detection.
Guide business stakeholders to interpret and utilize AI-first solutions and research findings.

Required Senior AI Scientist
Job Overview
The Content Safety Team, which is responsible for ensuring a safe environment for our customers, is seeking a Senior AI Scientist. The team develops content moderation solutions for user-generated and AI-generated content across all our products and utilizes advanced GenAI tools to build capabilities such as automatic labeling.
We encourage you to apply if you
Are passionate about using advanced ML techniques and evolving technology to create a safe environment for customers
Love working as part of a team of experienced AI scientists that love research and innovation just as much as they love getting models to production and making an impact
Are interested in partnering with analysts and researchers to implement your ideas into mitigation policies that keep the bad actors away
Take pride in having end to end ownership of your models - from conception, throughout research and development to production and monitoring
Responsibilities:
Develop and refine content moderation models to filter and tackle abusive content across various products, content types and modalities.
Work extensively with NLP algorithms, focusing on fine-tuning transformers and large language models (LLMs) to enhance accuracy and efficiency.
Explore and integrate advanced technologies such as Retriever-Augmented Generation (RAG) and Agentic AI to assist in the automatic labeling and classification of data.
Collaborate with a multi-disciplinary team including machine learning engineers, AI scientists, and policy experts to ensure models align with ethical standards and company policies.
Stay updated with the latest research in AI and machine learning to incorporate cutting-edge techniques into content moderation strategies.
Prepare and maintain documentation on model development, configurations, and performance metrics for both technical and non-technical audiences.
Mentor and guide junior AI scientists, fostering a collaborative and productive team environment.

We are looking for an experienced AI Backend Engineer to join our fast-growing company during an exciting stage of innovation. In this role, you'll design and develop Agent and LLM-based features, engineer and optimize context and high-quality prompts, implement agentic architectures in production and evaluate and monitor applications effectively. If you're passionate about staying at the forefront of Large Language Model AI applications and collaborating with a team of experts, wed love to hear from you!
What Will You Do?
Take part in all development aspects, from design to production, of Agent and LLM-based features and applications.
Take part in all the development and planning aspects of a backend application, understanding scale, performance, observability.
Craft and optimize high-quality prompts to enhance application functionality and output quality.
Develop datasets and benchmarks to evaluate and monitor LLM-based applications effectively.
Stay up to date with state-of-the-art research in the field of Large Language Models and apply relevant advancements to improve our applications.
Collaborate closely with other team members and contribute to a culture of innovation and continuous improvement.
Mentor new team members and share your expertise to strengthen the team's collective knowledge.

We are seeking an experienced and detail-oriented Red Teaming team lead to oversee complex research and delivery efforts focused on identifying and mitigating risks in Generative AI systems. In this role, you will lead a multidisciplinary team conducting adversarial testing, risk evaluations, and data -driven analyses that strengthen AI model safety and integrity. You will be responsible for ensuring high-quality project delivery, from methodology design and execution to client communication and final approval of deliverables. This position combines hands-on red teaming expertise with operational leadership, strategic thinking, and client-facing collaboration. Key Responsibilities Operational and Quality Leadership
* Oversee the production of datasets, reports, and analyses related to AI safety and red teaming activities.
* Review and approve deliverables to ensure they meet quality, methodological, and ethical standards.
* Deliver final outputs to clients following approval and provide actionable insights that address key risks and vulnerabilities.
* Offer ongoing structured feedback on the quality of deliverables and the efficiency of team workflows, driving continuous improvement. Methodology and Research Development
* Design and refine red teaming methodologies for new Responsible AI projects.
* Guide the development of adversarial testing strategies that target potential weaknesses in models across text, image, and multimodal systems.
* Support research initiatives aimed at identifying and mitigating emerging risks in Generative AI applications. Client Engagement and Collaboration
* Attend client meetings to address broader methodological or operational questions.
* Represent the red teaming function in cross-departmental collaboration with other teams.
About us:
We are the leading provider of security and safety solutions for online experiences, safeguarding more than 3 billion users, top foundation models, and the worlds largest enterprises and tech platforms every day. As a trusted ally to major technology firms and Fortune 500 brands that build user-generated and GenAI products, we empower security, AI, and policy teams with low-latency Real-Time Guardrails and a continuous Red Teaming program that pressure-tests systems with adversarial prompts and emerging threat techniques. Powered by deep threat intelligence, unmatched harmful-content detection, and coverage of 117+ languages, we enable organizations to deliver engaging and trustworthy experiences at global scale while operating safely and responsibly across all threat landscapes.
Hybrid:
Yes

We are seeking an experienced and detail-oriented Red Teaming team lead to oversee complex research and delivery efforts focused on identifying and mitigating risks in Generative AI systems. In this role, you will lead a multidisciplinary team conducting adversarial testing, risk evaluations, and data -driven analyses that strengthen AI model safety and integrity. You will be responsible for ensuring high-quality project delivery, from methodology design and execution to client communication and final approval of deliverables. This position combines hands-on red teaming expertise with operational leadership, strategic thinking, and client-facing collaboration.
Key Responsibilities
Operational and Quality Leadership
* Oversee the production of datasets, reports, and analyses related to AI safety and red teaming activities.
* Review and approve deliverables to ensure they meet quality, methodological, and ethical standards.
* Deliver final outputs to clients following approval and provide actionable insights that address key risks and vulnerabilities.
* Offer ongoing structured feedback on the quality of deliverables and the efficiency of team workflows, driving continuous improvement. Methodology and Research Development
* Design and refine red teaming methodologies for new Responsible AI projects.
* Guide the development of adversarial testing strategies that target potential weaknesses in models across text, image, and multimodal systems.
* Support research initiatives aimed at identifying and mitigating emerging risks in Generative AI applications. Client Engagement and Collaboration
* Attend client meetings to address broader methodological or operational questions.
* Represent the red teaming function in cross-departmental collaboration with other teams.
About us:
We are the leading provider of security and safety solutions for online experiences, safeguarding more than 3 billion users, top foundation models, and the worlds largest enterprises and tech platforms every day. As a trusted ally to major technology firms and Fortune 500 brands that build user-generated and GenAI products, we empower security, AI, and policy teams with low-latency Real-Time Guardrails and a continuous Red Teaming program that pressure-tests systems with adversarial prompts and emerging threat techniques. Powered by deep threat intelligence, unmatched harmful-content detection, and coverage of 117+ languages, we enable organizations to deliver engaging and trustworthy experiences at global scale while operating safely and responsibly across all threat landscapes.
Hybrid:
Yes.

We are hiring a Staff Data AI Lead to lead our AI initiatives.As a Staff Data AI Lead you will be responsible for leading SuperSonic organization AI integration efforts and serving as the bridge between advanced AI technologies and our business needs, implementing cutting-edge Data & AI technologies, creating AI-driven strategies and integrating innovative AI solutions across multiple platforms.
What you'll be doing
Develop and execute AI strategies aligned with business objectives
Advise leadership on AI capabilities and potential applications
Guide teams in adopting AI tools and methodologies
Ensure ethical and efficient implementation of AI technologies
Design and oversee AI-driven process improvements
Collaborate with various departments to identify AI opportunities
Stay current with the latest AI trends and advancements
Conduct AI-related training and workshops for staff
Manage AI projects from conception to implementation
Evaluate and recommend AI tools and platforms
Leading a team of AI engineers.

we are looking for an experienced and highly motivated Development Group Manager to lead our AI Agents Development Group under the Data, AI & Research department.
This role offers an opportunity to drive innovation and spearhead cutting-edge conversational and Agentic technologies within a global leader in security. You will be responsible for recruiting and managing a world-class team of AI engineers and architects, guiding the development of Agentic and conversational solutions that enhance our companys products and services. 
Leading and mentoring several teams of AI engineers, fostering their technical excellence and innovation. 
Overseeing the full AI solution lifecycle, including data acquisition, model selection, fine-tuning and usage, evaluation, and continuous improvement. 
Implementing a data-driven decision-making approach to ensure AI solutions align with business goals and deliver measurable impact. 
Establishing numerical quality measurements to track and improve AI model performance and effectiveness, as well as adoption and satisfaction. 
Collaborating with product management and the field to define the roadmap for Agentic AI capabilities and ensuring alignment with business objectives. 
Improving and complying with best practices for AI-related governance, security, and ethical principles. 

We are seeking an experienced Senior Backend Engineer to join our Data Services team. The Data Services team manages, provides and processes the large volumes of data, used by our Scientists and customers.
In this role, you will be responsible for building new cloud and on-prem data systems and infrastructure, as well as maintaining, improving, and enhancing serving systems, in order to provide highly usable, robust, and efficient data services.
Responsibilities
Participate in the development of state-of-the-art auto-driving systems by managing the data required for training and validation
Build efficient services to manage and provision large quantities of visual and other types of data
Design, develop, and implement robust cloud and on-prem services
Contribute to the selection and utilization of new AI technologies, databases, and third-party services.

Were expanding a fast-growing practice that helps engineering teams boost velocity with GitHub Copilot and other AI developer tools.
Weve served dozens of satisfied customers in Israel and abroad and are now hiring a hands-on thought leader to build and lead this arm: drive R&D productivity programs, own Copilot adoption, create content, and run training at scale.
Key Responsibilities
● Own the R&D productivity agenda across clients: assessments, KPIs, rollout plans, and measurable impact.
● Lead GitHub Copilot for R&D optimization end-to-end, plus evaluate/compare adjacent tools (Claude Code, Cursor, VS Code extensions, agentic assistants).
● Create training materials (labs, playbooks, demos) and deliver workshops; manage a trainer bench and mentor them.
● Act as a public voice: publish posts, speak at events/webinars, and engage developer communities to attract customers.
● Partner with Sales/Delivery on pre-sales to attract new customers.
● Stay on the cutting edge of releases and best practices, turn learnings into repeatable packages.

We are seeking a Senior AI Product Security Engineer to join our innovative team at our company . As our Senior AI Security Engineer, you will lead the development and implementation of security frameworks for our AI systems, combining strategic thinking with hands-on technical expertise. This role presents an outstanding opportunity for a professional who is passionate about AI security and driven to advance the field. Working alongside professionals who share your commitment to excellence, you will be at the forefront of securing our AI products. We value professionals who embrace challenges and demonstrate the ability to quickly adapt to and master new technologies.

Key Responsibilities:

Lead security evaluation and enhancement initiatives across our AI products
Drive innovation through research and implementation of advanced AI security technologies
Conduct comprehensive code reviews, threat modeling, and vulnerability assessments
Design and implement robust security architectures for AI systems
Collaborate with cross functional teams to track security defects and align with them on remediation steps.
Provide technical leadership and mentorship in AI security best practices