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26/08/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for an AI Research Engineer to build the backbone of our autonomous security platform.
our company builds AI Digital Employees who help cyber teams close the execution gap. Our first AI Digital Employee, Alex, learns, understands and takes away the burden of Identity and Access Management (IAM) tasks - proactively completing the organization's cyber objectives.
About the Role:
You'll own technically difficult problems before the solution is known. Starting with a cybersecurity need, you'll study the domain, frame the technical challenge, investigate possible approaches, and build the solution through production. You'll have access to our company's shared agent infrastructure, but the role goes far beyond configuring existing components. Many use cases will require new reasoning methods, agent architectures, evaluation techniques, data strategies, or model behavior. This is a role for someone who enjoys applied research but is motivated by outcomes. The goal is not simply to prove that an idea can work, it is to make it useful and reliable for customers.
What You'll Do:
Design and implement AI solutions for complex cybersecurity workflows.
Develop new approaches for agent reasoning, planning, tool use, context management, decision-making, and recovery from failures.
Determine the right technical approach for each problem, combining models, algorithms, data, and conventional software where appropriate.
Define quality for each use case and create evaluations that measure correctness, task completion, consistency, safety, latency, and cost.
Analyze agent behavior deeply, identify the underlying causes of failures, and improve the relevant model, data, tool, or architecture.
Collaborate with cybersecurity experts, product teams, software engineers, and AI infrastructure engineers throughout development.
Requirements:
Excellent software engineering skills and substantial experience with Python.
Hands-on experience building advanced systems with modern language models.
Deep familiarity with several areas relevant to AI agents, such as planning, tool use, retrieval, memory, structured generation, model adaptation, or evaluation.
The ability to turn an ambiguous problem into a technical research plan and then into working software.
Strong experimental instincts: you form clear hypotheses, design meaningful tests, and make decisions based on evidence.
Sound judgment about when to use an AI technique and when a deterministic approach is more effective.
Ownership of the complete result, including its behavior after reaching production.
Nice to Have:
Developing autonomous or long-running agents that interact with real systems.
Building evaluation environments, simulations, or benchmarks for complex model behavior.
Experience in cybersecurity, identity, security operations, or enterprise automation.
Applying published research or your own research to production problems.
This position is open to all candidates.
 
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26/08/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for a talented AI Security Researcher to join our team and play a critical role in our foundational, risk-driven approach to cloud security. This role requires deep technical research into complex cloud- and AI-native environments to identify the most significant, unaddressed risks.
Responsibilities
Conduct deep technical research to discover and report novel risks and attack vectors specific to modern cloud- and AI-native architectures and systems.
Discover and articulate the highest unaddressed risk areas, working with Product and Engineering teams to translate research into product capabilities.
Define necessary foundational product capabilities by delivering both compelling proofs of risk (demonstrating impact) and technical POCs (showing how to solve it).
Work closely with Product and Engineering teams to ensure comprehensive risk coverage and support the investigation of new and complex product scope.
Requirements:
Minimum qualifications
5+ years of hands-on experience in security or security research, specifically relevant to modern cloud environments (AWS, GCP, Azure, Kubernetes, etc.)
Strong hands-on skills with scripting languages (e.g., Python, Go) for automation and research, as well as query languages (e.g., KQL, SQL) for efficient data analysis of security telemetry.
Proven ability to work independently, prioritize effectively, and drive complex, multi-quarter research projects from initial concept through to clear, delivered impact.
Preferred qualifications
Specialized knowledge or research experience in AI security, focusing on risks to AI as deployed in the enterprise.
Experience in public-facing work, such as presenting at recognized industry conferences, authoring technical blog posts, or publishing research.
Experience conducting data-driven research and working with large-scale security telemetry to derive statistically significant or high-impact findings.
Excellent written and verbal communication skills, with a track record of successfully collaborating with cross-functional teams (e.g., Product, Engineering, Marketing) to achieve shared goals.
This position is open to all candidates.
 
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8797699
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26/08/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a mission-driven BizOps Engineer to join our R&D team!
We specialize in advanced AI predictive models, focusing on LTV, churn, and intent to drive business growth.
As the BizOps Engineer, you will serve as both a platform architect and a hands-on builder. You will own the AI-native platform architecture and governance for all non-core product functions, including Sales, Operations, HR, Legal, and Finance, while also building, maintaining, and scaling custom AI solutions yourself to address specific departmental needs.
Reporting directly to the VP of R&D, this role begins as a high-impact Individual Contributor (IC) with a clear mandate to build and lead a dedicated engineering team as the function scales. Your primary focus will be designing and deploying infrastructure and security protocols while simultaneously delivering the bespoke AI tools that empower teams and drive operational efficiency.
You will have the autonomy to choose the most effective path forward for any given challenge, whether that means leveraging existing SaaS platforms, integrating open-source projects, or building custom solutions from scratch, always guided by the specific needs and projected ROI of the departments you support.
Responsibilities:
Architect and maintain the internal AI-native platform, while personally building and scaling custom AI solutions and automated workflows for cross-functional teams.
Establish and enforce security protocols, governance frameworks, and best practices to enable safe and compliant AI solution development across the organization.
Identify and scale platform enablement opportunities that allow departments to automate their own workflows using approved AI capabilities.
Monitor and manage organizational compliance for internal AI applications, ensuring data privacy and ethical standards are met at scale.
Requirements:
5+ years in software engineering, DevOps, or business systems engineering.
Deep technical proficiency in AI-native tools (LLMs, RAG, agentic workflows) and hands-on experience building complex API-first integrations and data pipelines.
Strong product sense and intuition for user needs to design ROI-driven internal tools that translate operational bottlenecks into technical requirements.
Ability to operate effectively as an individual contributor today while possessing the vision to build and lead an engineering team as the function scales.
This position is open to all candidates.
 
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8797662
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26/08/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for a talented AI-native Software Engineer to join our innovative R&D team!
we help its customers acquire better users and spend less doing it - and our core team owns the engine behind it. We turn raw customer data into ad-network conversions, end-to-end: through large-scale ML and data pipelines, event-driven delivery services on AWS, and the UI that ties it together. There's no narrow lane here - you own problems wherever they live in the stack.
We're an AI-native team: we treat AI and agentic tooling as a first-class part of how we build, and it's how a small team credibly owns this much surface area. We're looking for a high-ownership generalist who works this way (or is hungry to), and who thrives in a correctness-critical domain where a bug means real customer ad-spend going the wrong way.
Responsibilities:
Turn raw customer data into ad-network conversions end to end, building across the whole stack: ML and data pipelines, delivery services, and the customer-facing UI.
Take features from idea to production largely on your own, designing, shipping, monitoring, and iterating, using AI and agentic tooling as a force multiplier, and owning your systems in production where mistakes translate directly into customer spend.
Collaborate closely with the team lead, product, and data scientists to take models and ideas from prototype to reliable, scaled-up production.
Requirements:
3+ years of hands-on experience building production cloud systems end to end: architecture, development, testing, and cloud-native work in production.
Strong Python (our primary language), and solid software engineering foundations: software design principles, concurrency, data structures, and cost/performance trade-offs.
An AI-native, can-do generalist: you use (or are eager to adopt) AI and agentic tooling as a core part of how you ship, you're comfortable across the whole stack and unafraid of unfamiliar territory, and you take strong ownership of systems end to end on a small team.
A team player with excellent communication skills, strong independent-learning ability, and curiosity to explore new fields and constantly improve.
Advantage:
SQL and modern data warehouses (Snowflake, BigQuery or Databricks equivalent).
Experience with ad-network, martech, attribution, or measurement ecosystems (Google Ads, Meta, MMPs, conversion APIs).
Experience with modern cloud and orchestration tooling: Temporal, Airflow, Docker, Kubernetes, ArgoCD, Terraform, and AWS.
Background in analytics, data science, or product: you think like an analyst or PM about what makes a signal correct and valuable, not just whether the code runs. We value this highly.
This position is open to all candidates.
 
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8797628
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25/08/2026
Location: Airport City
Job Type: Full Time
We're looking for a Senior Project Manager who combines strong technical depth with exceptional leadership and execution skills.
As a key member of the LevelUP organization, you will:
Lead strategic AI transformation programs across engineering organizations
Drive adoption of AI-powered tools, workflows, and best practices
Partner with senior technology leaders, architects, engineering teams, and product organizations
Manage complex, cross-functional initiatives involving multiple global teams across Israel and the United States
Define success metrics, track business impact, and communicate progress to executive leadership
Navigate ambiguity, remove blockers, and ensure successful delivery in a fast-paced environment.
Requirements:
10+ years of Project Management or Technical Project Management experience
Strong technology background with deep understanding of software development and modern SDLC practices
Proven experience leading large-scale, complex programs across multiple teams and organizations
Excellent stakeholder management and executive communication skills
Experience working with global teams across different geographies and time zones
Ability to influence without direct authority and drive alignment among diverse stakeholders
Experience leading AI, GenAI, Developer Productivity, or Digital Transformation initiatives
Hands-on experience with AI tools such as GitHub Copilot, Microsoft Copilot, Claude, ChatGPT, or AI Agents
Familiarity with Agile, DevOps, Jira, Azure DevOps, GitHub, and modern engineering practices
Passion for helping organizations adopt new technologies and ways of working.
This position is open to all candidates.
 
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8797044
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25/08/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
As an AI Product Manager on the Paradox team, you will own the product lifecycle for core LLM-powered capabilities across candidate and recruiter experiences.
Youll drive product discovery, define requirements, and partner with engineering and data science from design through launch, iteration, and ongoing optimization.
One key part of this role is hands-on AI evaluation. You will regularly review LLM outputs and AI conversation logs, perform data labeling, and dig into traces to identify gaps, edge cases, and failure modes. Youll translate these insights into concrete changes to prompts, data, workflows, and system logic that measurably improve quality, reliability, and user experience.
You will:
Own AI-driven features, including candidate and recruiter-facing experiences.
Define product vision, goals, and roadmaps for your areas, balancing user value, technical feasibility, and business impact.
Lead rigorous evaluation of LLM behavior: review outputs, label data, and partner with data science to refine prompts, metrics, and evaluation strategies.
Collaborate closely with engineering to design scalable, robust solutions and iterate quickly on experiments.
Synthesize input from customers, internal stakeholders, and the market into clear, prioritized product requirements.
Communicate progress, tradeoffs, and learnings across a global, cross-functional set of partners, guiding teams toward high-impact outcomes.
This role is ideal for someone excited to be in the weeds with AI systems-understanding how they behave, why they fail, and what to adjust to make them meaningfully better for real users.
Requirements:
Basic Qualifications:
4+ years of experience as a Product Manager (or technical role with clear PM trajectory).
Proven experience delivering LLM-based products into production (handling latency, costs, guardrails, and real-user edge cases).
Hands-on experience with GenAI architectures & evaluations: Strong grasp of RAG, prompt engineering, and core LLM evaluation frameworks (e.g., benchmark datasets, output validation).
Strong cross-functional collaboration skills, bridging technical teams (DS/Eng) and non-technical stakeholders (CSM, Business).
Proven ability to turn ambiguous problems into clear product decisions and priorities.
Other Qualifications:
Experience building agentic workflows or complex multi-agent systems (e.g., tool use, function calling, autonomous execution).
Prior experience in HR Tech or Talent Acquisition workflows.
Hands-on experience building/optimizing fine-tuning or RLHF pipelines.
Track record in a fast-paced 0→1 / early-stage product environment.
This position is open to all candidates.
 
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8797025
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25/08/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
Are you an analytical person who is deeply interested in AI and LLM technology?
Is your superpower accurately categorizing information and identifying patterns?
Do you love to solve interesting challenges and make a direct impact through your work?
Join our Tel Aviv team as an AI Data Analyst and help shape the future of AI. We're looking for analytical minds to contribute to our cutting-edge Large Language Model (LLM) project. In this unique role, you'll be performing LLM data quality tasks, ensuring consistency and quality in our conversations and helping design and support our flagship products.
This is more than a traditional data-labelling role. You will combine hands-on evaluation work with analytical thinking to help shape how our AI experiences evolve.
Sound like your perfect fit? We want to hear from you!
As an AI Data Quality Analyst, you will evaluate LLM-generated conversations and other text-based data, identify trends and regressions, and partner with AI Engineers and Product Managers to improve model performance. In this role, you will:
Review and evaluate LLM-generated conversations and other text-based outputs against task-specific quality criteria and success metrics.
Perform high-quality annotation and data labeling to create reliable datasets for model training, benchmarking, and evaluation.
Monitor real production data to identify quality trends, regressions, and areas for improvement.
Identify qualitative patterns, recurring failure modes, regressions, and opportunities to improve model behavior and user experience.
Analyze evaluation results and clearly communicate insights, risks, and recommendations to cross-functional stakeholders.
Work closely with our AI Engineers and Product Managers to understand the data needs and ensure data quality processes align with goals, ensuring Paradox and our company products remain top in class.
Requirements:
Experience with data labeling or annotation, ideally involving textual data, conversational data, or generative AI.
Strong qualitative research and analytical skills, with the ability to detect meaningful patterns in large volumes of textual data.
Strong attention to detail, sound judgment, and a high bar for consistency and quality.
Creative, out-of-the-box thinking and a proactive approach to investigating ambiguous or unexpected model behavior.
Technical curiosity and confidence working across web-based tools, labeling platforms, dashboards, and evolving internal interfaces.
Strong English fluency, both written and verbal communication
A research-oriented background, such as Linguistics, Human-Computer Interaction, Cognitive Science, Psychology, or a related field.
Ability to work as from our company Tel Aviv, Israel office location.
Nice to Have:
Experience working directly with LLM analysis, model evaluation, conversation quality assessment, or related AI quality workflows.
Hands on experience using AI tools such as Claude Code, Cursor, or similar tools.
This position is open to all candidates.
 
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8797023
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Location: Ra'anana
Job Type: Full Time
Required Staff AI Research Scientist
Our research is driving the future of AI, from edge to cloud. We are building the foundations of tomorrow's intelligent systems, spanning next-generation processors and accelerators, innovative machine learning models, and advanced AI tools. As a Research Scientist, you will join a distributed team pushing the boundaries of what is possible at the intersection of AI, computer architecture, and compute. We seek curious, collaborative researchers who are passionate about turning research ideas into top-tier publications and real-world impact. We are looking for Research Scientists interested in foundational advances in machine learning, efficient inference, and physical AI. Research areas can include, but are not limited to:
Generative Modeling: Research into generative techniques for inverse problems, such as image denoising, super-resolution, reconstruction, and related tasks.
Efficient Inference: Research into including quantization, pruning, low-rank, and hardware-aware optimization.
Physical AI: Research into AI systems that perceive, reason, and act in the physical world.
Responsibilities:
This role involves conducting research across a wide range of AI topics, collaborating with researchers to advance the state of the art, publishing at top conferences, and translating research into real-world impact.
Requirements:
Required Skills and Experience :
A Ph.D. (or equivalent experience) in computer science, electrical engineering, or a related STEM field with a focus on artificial intelligence.
A proven track record of academic publications in credible conferences or journals, such as ICML, ICLR, NeurIPS, CVPR, ICCV/ECCV, ICRA, IROS.
Nice To Have Skills and Experience :
Experience working with edge devices.
Experience with simulation environments for audio, robotics, or related AI applications.
This position is open to all candidates.
 
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25/08/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
our company leads the category of Social Video Intelligence, giving global brands the power to see, understand, and control the life of their brand on Social Video.
We are looking for a jack of all trades. Someone happy to wear many hats and switch between them all day, who picks things up fast, thinks like an analyst, and brings great energy to the team.
What you will do
Onboarding: Drive the technical and operational rollout for new customers. Customize data views and reporting formats to each client's unique preferences, to ensure key insights are immediately accessible, intuitive, and actionable for their team.
Data Analysis: Analyze customer and product data, track performance metrics, and surface patterns and insights for both clients and internal teams.
Technical Support: Resolve product-related issues via email and own escalated cases end to end.
Prompt Engineering: Design, test, and refine prompts that power our product and customer setups.
Process Optimization: Monitor workflows, recommend new procedures, and roll out improvements using AI and automations to reduce friction and make our day-to-day faster.
Requirements:
Technically minded with a fast learning curve and a strong passion for AI. Hands-on experience building AI flows, custom agents, and system configurations, with experience in navigating advanced technical tools and product environments.
Strong analytical mindset with the ability to dig into complex data, uncover subtle patterns, and translate them into actionable, high-value insights for clients.
Excellent written and verbal communication in English.
Proficiency in Microsoft Excel and strong organizational skills.
Open-minded, curious team player, eager to learn and grow.
Background in a customer-facing role - an advantage.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking a visionary who reports to the CEO, to serve as the focal point of our internal AI strategy and lay the groundwork for an AI-enabled future across our organization. In this newly created role, you will act as the primary change agent bridging business strategy, technology infrastructure, and human capital. Your mission is to transition the company into a structured, secure, and value-driven operation - driving targeted AI adoption specifically where it yields the highest impact to boost efficiency, achieve core business goals, and foster long-term growth.
Responsibilities
Authoring, shaping, and continuously updating the company's AI Transformation Strategy for internal operations, engineering enablement, knowledge management, and workforce productivity, aligned with business goals and operational excellence.
Process Optimization & Internal Efficiency: Mapping existing workflows across various departments (Marketing, Sales, HR, Delivery, R&D, Product, etc.) to identify bottlenecks.
Deploying recurring autonomous workflows (e.g., automated reporting, monitoring) using AI agents to streamline day-to-day operational work.
Architect and manage a centralized, machine-readable repository of enterprise knowledge- leveraging AI to continuously ingest, structure, and update company data to ensure it is instantly accessible and optimized for AI context engines, RAG (Retrieval-Augmented Generation) pipelines, and employee query systems.
Democratizing Development via AI-Assisted Development: Enabling business units to leverage AI-assisted development methodologies and platforms to build custom operational workflows.
Agents Platform: Building a company-wide layer for creating, managing, and sharing AI agents that integrate directly with internal enterprise systems to support operational execution.
Governance, Security, AI Cost Management (AI FinOps)& Economics:
Measuring adoption, usage, and the true cost of AI tools and workflows across all platforms to understand their impact and optimize organizational investment.
Establishing control mechanisms for "AI cost management" and AI FinOps - making techno-economic decisions (e.g., choosing between heavy models vs. specialized open-source models).
Specialized open-source models) to optimize compute costs.
Creating a balanced AI Acceptable Use Policy with the CISO and Legal that protects organizational data while acting as a secure foundation for rapid innovation.
דרישות:
Strategic Visionary: Experience in defining and executing a technological or operational strategy, with a proven ability to translate AI trends into a structured corporate roadmap.
Deep Technological Understanding of GenAI & Autonomous Systems:
Always up-to-date with the most recent AI technologies and capabilities, with a strong grasp of software architecture, Data engineering, and modern AI paradigms (LLMs, RAG, API integrations).
Deep understanding of how autonomous agents and AI reshape modern job functions, with the ability to set new standards for workforce assessment and collaboration between humans and machines.
Hybrid Tech & Business Background:
Significant experience in technological leadership, Internal Product Management, Platform Engineering, or digital transformation.
Experience overseeing the lifecycle of internal applications is an advantage, particularly with exposure to AI-assisted development platforms and modern AI generation tools from ideation to deployment.
Entrepreneurial Spirit & Matrix Leadership:
An "Enabler" by nature - someone who builds secure foundations for teams to innovate rapidly.
Exceptional communication skills - the ability to articulate complex concepts to R&D teams, Legal, and C-Level executives.
The ability to step into a "blank canvas" environment, establish methodologies, prove immediate business value, and subsequently build a team and budget around that success.
Proven ability to orchestrate company-wide transformatio המשרה מיועדת לנשים ולגברים כאחד.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8796414
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דיווח על תוכן לא הולם או מפלה
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
25/08/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We're hiring our Head of Research to own it.

We're not asking you to start from a blank page. We have an active research roadmap covering eight thematic areas - from self-improving evaluation infrastructure to agentic RAG to multimodality. We have ML/research talent on the team already. What we need is a leader who can take it the rest of the way.

Requirements
What you'll own:

Own the AI/ML core of the Mosaic platform - retrieval, agents, model routing, evals, and the research that improves all of them.
Set the research agenda. Decide what we investigate, what we measure, and what we ship.
Lead the research team directly (with hiring authority) and the AI analyst function indirectly.
Partner closely with engineering, product, and the CEO to turn research into production capability.
Define and own the quality bar for our AI outputs.
Requirements:
MSc or PhD in Machine Learning, NLP, Computer Science, or a closely related field.
5+ years of hands-on industry experience building production AI/ML systems.
Real production experience with AI agents - designed, built, evaluated, and improved them.
Prior experience managing researchers or ML engineers.
Independent research mindset - a point of view on what to bet on next, and the judgment to defend it.
Track record of shipping research into product, not only papers or prototypes.
Comfortable partnering deeply with engineering and product.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8796350
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דיווח על תוכן לא הולם או מפלה
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
25/08/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
As a research student , you will work on one of the teams core challenges in modern LLM-based systems, such as:

Agentic RAG
Advanced retrieval strategies, hybrid search, query rewriting, context optimization, and LLM-driven reasoning pipelines
Automatic Evaluation of Agents
LLM-as-a-Judge, scoring frameworks, hallucination detection, and robust evaluation methodologies
Agents for Knowledge Creation
Building agents that autonomously generate, refine, and maintain enterprise knowledge bases
Ontology-Grounded RAG
Enhancing models with domain-specific knowledge and structured representations
Data Analysis Agents
Agents capable of analyzing complex operational, product, and support data at scale
Fine-tuning LLMs for customer domain adaptation
Automatic agent improvement from user feedback including learning from errors, evaluations, and human signals
You will work one day per week, embedded directly in the Ask-AI research group, collaborating closely with senior researchers and engineers.
Requirements:
Hands-on experience building real-world research systems at scale
Close mentorship from Ask-AIs research scientists
Opportunity to publish research based on project contributions
Experience working with state-of-the-art LLMs, retrieval engines, and agentic systems
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8796332
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דיווח על תוכן לא הולם או מפלה
מה השם שלך?
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שליחה
סגור
v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
Location: Tel Aviv-Yafo
Job Type: Full Time
This role sits at the intersection of AI and high-performance systems engineering, focused on solving real-world problems under strict constraints. You will work on systems where performance and reliability are critical and where improvements have a direct, measurable impact on real-world safety.

This is a senior, systems-focused role with end-to-end ownership over performance and reliability of production computer vision pipelines. You will define optimization strategies, identify bottlenecks across the system, and drive improvements under real-world constraints.

What youll do
Build and optimize real-time computer vision pipelines running on edge systems processing live maritime video streams (e.g, NVIDIA Jetson, Triton Inference Server).
Take models from research and turn them into production-ready, reliable components deployed on vessels.
Profile and improve end-to-end system performance across: multi-camera video ingestion; preprocessing; inference; postprocessing
Identify and resolve bottlenecks across CPU, GPU, memory, and pipeline coordination.
Make and justify tradeoffs between latency, accuracy, stability, and resource utilization.
Design and implement robust data and inference pipelines (video -> model -> actionable output for crew).
Develop benchmarking and evaluation workflows to measure performance end-to-end and support release gating.
Build and improve observability tools, including logging, monitoring, and debugging workflows for production systems.
Define and maintain clear interfaces between research code and production systems.
Work closely with research and backend teams to integrate new models into production systems.
Continuously improve system efficiency and reliability under hardware and runtime constraints.
Requirements:
Requirements:
5+ years of software engineering experience, with a strong focus on systems and performance.
Hands-on experience working with computer vision or deep learning systems in production.
Strong programming skills in Python and/or C++.
Experience working with edge or embedded systems (e.g., NVIDIA Jetson platforms).
Strong understanding of system bottlenecks, including CPU, GPU, memory, and latency constraints.
Strong intuition for profiling-driven optimization and performance tuning.
Experience debugging complex systems and reasoning about behavior in real-world, noisy environments.

Strong advantage:
Experience working with edge or embedded systems.
Experience working with custom high-performance data or inference pipelines.
Familiarity with multi-sensor fusion (e.g., combining vision with radar or other signals).
Experience deploying and maintaining ML models in production environments.
Experience with low-level optimization and/or C++ performance tuning.
Proven experience optimizing model inference (e.g., TensorRT, ONNX Runtime, quantization, pruning, or similar techniques).
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8796312
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דיווח על תוכן לא הולם או מפלה
מה השם שלך?
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סגור
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
25/08/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
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.

What Youll Do
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.
Requirements:
5 years of hands-on ML and deep learning experience, with a track record of shipping, debugging, and diagnosing models in production.
Data-first mindset: you know how to define the right evaluation criteria for each model - before and after shipping, to ensure it delivers real quality and value in production.
Hands-on experience building and deploying agentic AI systems to production.
Proficiency in Python; experience with PyTorch, scikit-learn, HuggingFace, or equivalent.
Practical, applied mindset - focused on the problem, success metrics and impact, not lab research.
Background in security, trust & safety, or content moderation - an advantage.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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עדכון קורות החיים לפני שליחה
8796073
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דיווח על תוכן לא הולם או מפלה
מה השם שלך?
תיאור
שליחה
סגור
v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
25/08/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
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.

What Youll Do
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.
Requirements:
Deep learning expertise with a track record of non‑trivial research (industry or academia) in LLMs or other domains (e.g., CV, speech). We care that youve changed models or methods in meaningful ways (architecture/training/eval), not just used them.
Strong experimental design and scientific writing; comfort pre‑registering hypotheses, testing causal claims, proposing novel directions in a fast-changing field.
PhD or equivalent research experience in the industry (5+ years in a leading research team). Publication record or a portfolio of high‑impact open artifacts will make you stand out from the crowd.
Familiarity with AI frameworks (e.g., HuggingFace Transformers, LangChain, scikit-learn, PyTorch); Experience with a production grade codebase with several contributors is a bonus.
Experience in data analysis: visualization, exploration, cleanup.
Knowledge in GenAI tools such as LLM Orchestrations and integration packages, Agents, RAG systems - a bonus.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8796048
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