דרושים » הנדסה » AI & Robotics Research & Exploration Specialist (6268)

The Falcon Cloud Security team is looking for a hands-on Engineering Manager / Team Lead to lead the development of Agentic Workflows - a transformative initiative aimed at automating complex security operations using AI-native agents. You will lead a team of talented engineers while remaining deeply technical, helping architect and build autonomous systems that don't just alert but actively reason, investigate, and remediate security risks across multi-cloud environments.
As a player-coach, you will help shape the "brain" of our cloud security platform, guiding both the people and the technology that leverages large-scale data and AI-driven logic to help customers discover misconfigurations, prioritize risks, and automate defensive actions at scale.

What You'll Do:

Lead & Grow a Team: Manage, mentor, and develop a team of backend engineers, fostering a high-trust, high-performance culture. Conduct regular 1:1s, support career growth, and drive hiring to scale the team.

Stay Hands-On: Remain an active technical contributor - designing, reviewing, and writing production-quality code alongside your team. Lead by example and maintain a strong engineering presence.

Design & Architect: Drive backend engineering efforts to build autonomous agentic frameworks, guiding the team from rapid prototypes to large-scale production applications.

Develop Core Logic: Contribute to and oversee the development of decision-making engines and workflows that allow security agents to interact with cloud APIs (AWS, Azure, GCP) and internal data streams.

Data Integration: Guide the development of high-performance data integrations and streaming services (Kafka) to feed real-time security data into agentic models for continuous reasoning.

Scale Systems: Architect and oversee distributed systems capable of processing billions of security events to provide actionable posture intelligence and automated remediation.

Drive Cross-Functional Collaboration: Partner with Product, Design, and peer engineering teams in a "startup-like" environment to define and deliver new platform capabilities with speed and quality.

Raise the Bar: Champion engineering excellence, new technologies, and best practices across the team and broader engineering organization.

Our data science team is seeking a highly skilled AI researcher with expertise in modern AI methods (e.g., multi-agent architectures, reinforcement learning on LLMs) and a passion for transforming theoretical challenges into real-world products.
In this role, you will leverage our unique clinical datasets to design and build groundbreaking solutions that provide medical benefits to millions of people. You will take full end-to-end ownership of your models - from ideation and research to production deployment and ongoing monitoring.
Working across both research and production environments, you should have proven experience in developing and deploying machine learning algorithms, along with strong interpersonal and collaboration skills. We value independent thinkers who are also proactive doers.

What Youll Be Doing:
Develop clinical AI models to support Ks clinic workflows, with a focus on patient-facing applications
Design and implement scalable, efficient pipelines for data preprocessing, information extraction, and model training
Stay up to date with the latest AI research and best practices, and translate them into production-ready solutions
Communicate complex technical concepts and solutions to non-technical stakeholders
Collaborate with MLE and AI engineering teams to deploy scalable, robust solutions

The Falcon Cloud Security team is looking for a hands-on Engineering Manager / Team Lead to lead the development of Agentic Workflows - a transformative initiative aimed at automating complex security operations using AI-native agents. You will lead a team of talented engineers while remaining deeply technical, helping architect and build autonomous systems that don't just alert but actively reason, investigate, and remediate security risks across multi-cloud environments.
As a player-coach, you will help shape the "brain" of our cloud security platform, guiding both the people and the technology that leverages large-scale data and AI-driven logic to help customers discover misconfigurations, prioritize risks, and automate defensive actions at scale.

What You'll Do:

Lead & Grow a Team: Manage, mentor, and develop a team of backend engineers, fostering a high-trust, high-performance culture. Conduct regular 1:1s, support career growth, and drive hiring to scale the team.

Stay Hands-On: Remain an active technical contributor - designing, reviewing, and writing production-quality code alongside your team. Lead by example and maintain a strong engineering presence.

Design & Architect: Drive backend engineering efforts to build autonomous agentic frameworks, guiding the team from rapid prototypes to large-scale production applications.

Develop Core Logic: Contribute to and oversee the development of decision-making engines and workflows that allow security agents to interact with cloud APIs (AWS, Azure, GCP) and internal data streams.

Data Integration: Guide the development of high-performance data integrations and streaming services (Kafka) to feed real-time security data into agentic models for continuous reasoning.

Scale Systems: Architect and oversee distributed systems capable of processing billions of security events to provide actionable posture intelligence and automated remediation.

Drive Cross-Functional Collaboration: Partner with Product, Design, and peer engineering teams in a "startup-like" environment to define and deliver new platform capabilities with speed and quality.

Raise the Bar: Champion engineering excellence, new technologies, and best practices across the team and broader engineering organization.

Required xEngineer (ai-native software engineer)
makes it possible for anyone to succeed online. since 2006, weve grown to around 5,500 employees in 22 countries, launched over 40 products, and serve over 243 million users and their visitors worldwide. here, we push you to innovate, evolve in non-traditional ways, and collaborate. we operate in small teams that work closely together at a high level.
although were already industry leaders in web creation and business, our work is nowhere near done. our goal is to become the main engine of the internet so we can create a more open web for all.
we're proud to be an equal opportunity employer. the company was built around the idea that everyone has the right to be successful, online. this same vision defines us as an employer: creating a work environment where everyone is welcome, and anyone has the right to succeed.
as an xEngineer, youll combine deep technical expertise with system -level thinking and product ownership, applying ai across the development lifecycle to build impactful systems, make thoughtful architectural decisions, and drive technical excellence from idea to production. in your day-to-day, you will:
design and own end-to-end systems and features that serve millions of users, taking responsibility across stack boundaries - from product flows and User Experience to apis, data models, and production systems
apply ai-powered tools and workflows across planning, design, implementation, testing, debugging, and refactoring
work with modern technologies and platforms (e.g., typescript, React, Node.js, JAVA, cloud, and ci/cd), continuously evolving your toolkit with ai-powered tools
lead architectural thinking by making thoughtful trade-offs around scalability, reliability, security, performance, and maintainability
collaborate closely with product managers, designers, and engineers to shape solutions while ensuring production quality, observability, and long-term system health
at the company, we believe our best work happens together. our work model is fully in person, with 5 days a week from our office. flexibility remains a core value at the company and special requests are handled thoughtfully at the team level.
we are engineering at the company - a team of ai-native xengineers with deep expertise in frontend, backend, or mobile, who use ai support to take ownership over projects end-to-end. we work in a fast-paced, dynamic development environment with autonomous teams that never compromise high quality standards. as ai increasingly generates production code, we dedicate more and more of our time developing the skills we believe are critical for today and tomorrow: system design, architecture, scalability, reliability, and security.

We are seeking a hands-on Applied AI Scientist to join our core R&D team and drive the development of next-generation AI systems for autonomous driving. This role sits at the intersection of applied research and deployment - you will go from reading papers to shipping production systems. You will work directly on our multi-layered autonomy architecture, with a primary focus on real-time predictive models for driving decisions.
A deep technical role for someone who thrives on turning cutting-edge research into real, working systems under hard constraints.
Responsibilities:
Own the research-to-deployment cycle for predictive driving models - from literature review and prototyping through to production integration
Design, implement, and iterate on real-time predictive models, including vision-language models, motion prediction models, and inverse reinforcement learning approaches (e.g., imitation learning, reward recovery)
Collaborate on higher-level reasoning systems, contributing to vision-language-action models that handle complex edge cases and long-horizon planning
Bridge cloud-scale training with edge deployment - work on model compression, quantization, speculative decoding, and efficient inference for embedded automotive platforms
Evaluate and integrate state-of-the-art techniques from the broader AI research community into our autonomy stack
Collaborate closely with internal R&D teams to unblock technical challenges, accelerate delivery, and raise the overall technical bar.

We are looking for an AI Solutions Engineer who combines technical expertise in AI/ML systems with strong business acumen and communication skills. This role bridges the gap between cutting-edge AI technologies and real-world business needs-requiring someone who can design, implement, and deliver pinpoint AI solutions, accurate for the customers needs, while guiding them in extracting maximum value from our system.
About the Role:
As an AI Solutions Engineer, youll partner with enterprise clients to understand their challenges and architect AI-driven solutions using the platform. Youll collaborate with leading data science and ML engineering teams, working alongside experienced practitioners to ensure smooth adoption and measurable business outcomes.
Youll design and deliver proofs of concept, lead workshops, and build compelling demos showcasing our capabilities for AI evaluation, monitoring, and reliability. Acting as the key interface between our product, research, and customer teams, youll help translate technical requirements into impactful AI solutions.

Appdome’s mission is to protect every mobile app in the world and the people who use mobile apps in their lives and at work. Appdome provides mobile brands with the only patented, centralized, data-driven Mobile Cyber Defense Automation platform, delivering 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 Appdome, 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 inside mobile DevOps and CI/CD pipeline. Leading financial, healthcare, m-commerce, consumer, and B2B brands use Appdome to upgrade mobile DevSecOps and protect Android & iOS apps, mobile customers, and mobile businesses globally. Today, Appdome's customers use their platform to secure over 50,000+ mobile apps with protection of over 1B mobile end users projected. ?About the Role We are looking for an exceptional AI Engineer to join our new AI Department, as we are building an AI-driven future at Appdome. This is a unique opportunity to work in a startup environment within a growing company, where you’ll take ownership of AI and ML initiatives, build cutting-edge solutions, and influence the direction of our AI products. The role has strong leadership potential and is suited for individuals who are passionate about solving complex problems and making a real impact.
?What You’ll Do
* Research, design, and implement LLM-based products and infrastructure.
* Collaborate with data scientists, data engineers, product teams, and backend engineers to integrate AI solutions into products.
* Take full ownership of AI engineering pipelines from experimentation to production.
* Utilize cloud-based AI deployment strategies, particularly within AWS.
* Develop and maintain high-quality, scalable, and efficient code.

We are looking for a Senior AI Engineer to join a strong and dynamic AI Engineering team. We are the focal point for AI initiatives, striving to constantly bring innovation and leverage AI capabilities across all company teams and products.
Today, AI is central to how we operate, across the entire organization. It allows us to move fast and release features at a rapid pace, empowers non-technical Forterians to utilize AI tools for increased efficiency, and provides the backdrop for much of the innovation currently occurring in the company.
If this kind of working environment sounds exciting to you, if you understand that Engineering is about building the most effective and elegant solution within a given set of constraints - consider applying for this position.
Why should you join us?
This is a great opportunity to be at the cutting edge of the AI revolution, helping to shape and build the AI platform for the future. Together, well build infrastructure for autonomous and interactive agents, enact AI guardrails and evaluation frameworks to ensure performance and safety, and implement state-of-the-art
AI and Agentic patterns.
This role presents a unique opportunity to enter the AI domain. For those with some experience in AI infrastructure, it offers the chance to grow within a team that is evolving us from the AI experimentation phase to building and leveraging AI-powered products.
What you will be doing:
Design, build, and maintain reusable AI capabilities - including models, tools, APIs, and platforms that power both internal and customer-facing solutions.
Develop and maintain our internal MCP server that easily and securely exposes our vast data stores to AI agents.
Create and implement robust evaluation frameworks and AI guardrails to safeguard our value and ensure model reliability.
Establish deep expertise and sustainable AI engineering practices.
Promote AI readiness and track adoption across the company to build lasting impact.
Build and optimize RAG (Retrieval-Augmented Generation) systems.
Take full ownership of projects: from gathering requirements from non-technical internal users to development, deployment, and operation.
Act as a consultant and advocate for AI engineering, helping other teams leverage the platforms and tools you build.
Partner with teams across to accelerate AI adoption and productization efforts.

We are seeking a Senior AI Researcher Reporting to CEO .
This role is pivotal, aimed at addressing some of the AI industry's most complex challenges. Senior AI Researcher will act as a versatile 'joker card' within the R&D, stepping in to expedite projects, solve bottlenecks, and provide specialized expertise as needed. This role is designed to minimize latency and accelerate outcomes across various technical domains within the company. The ideal candidate will have strong technical expertise, excellent coding skills, and the ability to solve problems effectively.
The role doesn't include managerial responsibilities but does involve close collaboration with internal teams and the capability to inspire and guide staff. As a professional authority within our teams, the Technology Director will improve quality and speed up problem resolution. Adeptness in analyzing complex issues quickly, switching contexts when needed, and fostering a culture of growth and technical excellence is also desired.

Realize your potential by joining the leading performance-driven advertising company!
our companys Strategy and Intelligence team is building an execution-first, impact-driven capability to turn data and generative AI into a core advantage for our marketing organization and beyond. We operate with startup intensity, enterprise reach, and a relentless drive for actionable insights.
As an AI Insights and Research Specialist on the Strategy and Intelligence team in our Tel Aviv Office, youll play a vital role in owning the in-depth understanding of our customer portfolio and market landscape. This role is perfect for a data-savvy analyst who thrives on uncovering best practices and is eager to build and leverage AI tools and agents to scale their impact.
Youll be a key player in a high-impact Strategy and Intelligence team with direct visibility and ownership. Were not just analyzing data the traditional way; were operationalizing AI to revolutionize how we understand our customers and market. If you like lean teams, cross-functional execution, and using cutting-edge tech to solve real business problems, this is your home.
How youll make an impact:
Lead in-depth analysis of customer activity data to uncover trends, best practices, and actionable insights for the marketing organization and broader company.
Monitor and report on key performance indicators (KPIs) regarding our customer portfolio, providing data-driven recommendations to strategy leadership.
Conduct external industry research to benchmark our company against market standards and identify emerging opportunities, including leveraging industry databases.
Own end-to-end implementation of GenAI and automation projects in order to fulfill the above tasks and more - from scoping and prompt design to testing, documentation, and rollout.
Translate business needs into structured workflows, coordinating between non-technical and technical teams.
Translate complex data into clear, strategic narratives that drive decision-making across marketing and business teams.
Execute all of the above using AI tools extensively (AI first) to increase pace and quality of outputs.