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לפני 11 שעות
Location: Herzliya
Job Type: Full Time
We are seeking a Machine Learning expert to join our wireless FW software group and explore innovative applications of ML algorithms in embedded wireless systems and protocols. This role focuses on cutting-edge research to integrate machine learning into wireless firmware architectures as well as protocol design, validation, and performance optimization. The position emphasizes experimental research, algorithm development, and proof-of-concept implementations in the wireless FW domain. This role offers the opportunity to develop novel solutions that bridge the gap between theoretical machine learning capabilities and practical wireless system implementations.
Responsibilities:
Research & Development: Design, develop, and evaluate machine learning algorithms optimized for real-time wireless communication systems operating under strict real-time, power and computational constraints.
Protocol Innovation: Create novel wireless protocols that intelligently incorporate ML techniques for enhanced performance, efficiency, and adaptability.
Algorithm Optimization: Adapt existing wireless algorithms (e.g. Link Quality, QoS, Scheduling etc) by integrating ML approaches while maintaining real-time performance requirements.
Data Collection & Analysis: Gather, analyze, and curate statistics from existing wireless devices and networks to enable ML model training and validation. Design and implement data collection frameworks for various wireless environments and use cases.
System Integration: Develop lightweight ML models suitable for deployment on resource-constrained wireless devices, including edge computing scenarios.
Performance Analysis: Conduct comprehensive performance evaluations through simulation, theoretical analysis, and experimental validation.
Research Publication: Publish findings in top-tier conferences and journals, and present research at industry conferences.
Collaboration: Work closely with hardware engineers, system architects, and product teams to ensure research translates into practical solutions.
Technology Scouting: Stay current with emerging trends in ML, wireless communications, and edge computing technologies.
Requirements:
Minimum Qualifications
Minimum: Master's degree (MSc) in one of the following fields: Computer Science or Mathematics with specialization in Machine Learning, Signal Processing and Telecommunications Engineering.
Real-time Systems: Experience in real-time computing constraints and low-latency system design.
Machine Learning: Deep understanding of ML algorithms, particularly those suitable for real-time applications (online learning, federated learning, reinforcement learning, neural networks).
Wireless Communications: Strong foundation in wireless communication principles, protocols.
Programming: Proficiency in Embedded C, Python, MATLAB, C++, and ML frameworks.
Optimization: Experience with convex optimization, resource allocation algorithms, and constraint satisfaction problems.
Research Experience: Demonstrated track record of independent research through publications, patents, or significant project contributions.
Knowledge of edge computing and distributed ML systems is advantageous.
Personal Attributes: Self-Motivated: Ability to work independently, set research priorities, and drive projects from conception to completion.
Analytical Thinking: Strong problem-solving skills with ability to tackle complex, multi-disciplinary challenges.
Innovation-Oriented: Creative approach to research with ability to think outside conventional boundaries.
Communication Skills: Excellent written and verbal communication skills for technical documentation and presentations.
Collaborative Spirit: Ability to work effectively in cross-functional teams while maintaining independent research focus.

Preferred Qualifications
Ph.D. in related field.
This position is open to all candidates.
 
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לפני 11 שעות
Location: Herzliya
Job Type: Full Time
As a Wireless Firmware Architect you will focus on defining technical direction, conducting research and analysis, and providing architectural guidance for our Bluetooth embedded solutions.

The position emphasizes wireless protocol design and simulations, software architecture definition, technical planning, proof-of-concept development and performance optimizations.

Responsibilities:
Define comprehensive software architecture for our Bluetooth embedded solutions.
Establish firmware architectural guidelines and principles.
Support development teams with architectural guidance and consultation.
Integrate performance and power analysis requirements into architectural frameworks.
Create technical demonstrations to support architectural decision-making.
Monitor and analyze hardware implementations to ensure alignment with software architectural requirements.
Evaluate hardware design decisions and their impact on firmware architecture.
Collaborate with hardware teams to provide architectural input and recommendations.
Design and develop proof of concept (PoC) projects to validate architectural approaches.
Research and prototype emerging wireless technologies and methodologies.
Evaluate feasibility of new technologies and integration approaches.
Design and develop wireless protocol simulation frameworks, develop intelligent simulation environments for protocol validation and optimization.
Analyze new standards and specifications for architectural implications.
Track industry trends and emerging wireless technologies.
Requirements:
Minimum Qualifications:
Minimum: Bachelor's degree in Electrical Engineering or Computer Science.
Wireless Systems: 8+ years of experience in wireless communication systems design, with deep understanding of multiple wireless standards (WiFi, Cellular, Bluetooth, Zigbee, etc.).
Software Architecture: Proven track record of architecting large-scale, complex software systems with emphasis on real-time and embedded systems.
Protocol Development: Extensive experience with wireless protocol design, implementation, and optimization.
System Integration: Expert knowledge of hardware-software co-design and system-level optimization techniques.
Programming Proficiency: Strong skills in C/C++, Python, and system-level programming languages.
Performance Engineering: Experience with real-time systems, multi-threading, and performance optimization techniques.
Architectural Leadership: Demonstrated ability to lead architectural decisions and influence technical direction across multiple teams.
Communication Excellence: Outstanding written and verbal communication skills with ability to present complex technical concepts to diverse audiences.
Self-Motivated: Exceptional ability to work independently and drive initiatives.
Systems Thinking: Ability to see the big picture while understanding intricate technical details.

Preferred Qualifications:
Master's degree (MSc) in Electrical Engineering, Computer Science, or related field.
Ph.D. in relevant field is advantageous.
This position is open to all candidates.
 
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Location: Herzliya
Job Type: Full Time
In your role as a WiFi ML Link Adaptation Algorithm Engineer, as part of our Connectivity Group, you will be part of a world-class group that pioneers design and development of MAC Layer algorithms for wireless communication systems on our products.

We are looking for ML algorithm engineer to innovate and develop advanced rate adaptation and link optimization algorithms for WiFi systems. You will design and develop intelligent algorithms that dynamically optimize wireless transmission parameters to maximize throughput and reliability across diverse channel conditions.

Responsibilities:
Develop algorithms and models to improve rate selection, frame sizes, antenna selection and more with using ML.
Build/Configure simulation environments modeling fading channels, interference, and multi-user scenarios.
Validate performance of algorithms and models in network and HW simulations across diverse channel conditions.
Convert models and algorithms to embedded firmware implementation.
Create comprehensive test frameworks to evaluate real-world performance.
Conduct over-the-air testing and performance characterization on devices.
Analyze field telemetry data to identify optimization opportunities.
Debug and resolve algorithm-related issues in real-world deployment scenarios.
Requirements:
Minimum Qualifications
M.Sc/Ph.D in Electrical Engineering, Computer Engineering, or related discipline.
5+ years of experience and proficiency in ML.
Expertise in optimization algorithms with using machine learning and GenAI algorithms, or adaptive control systems.
Proficiency in algorithm development using MATLAB, Python, or similar tools.
Knowledge in wireless protocols: WLAN (IEEE 802.11), Bluetooth, Cellular.

Preferred Qualifications:
Experience with rate adaptation, link adaptation, or similar adaptive algorithms.
Experience with C/C++.
This position is open to all candidates.
 
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חברה חסויה
Location: Herzliya
Job Type: Full Time
Were looking for a data scientist to join our team and further improve fraud detection capabilities.
This position involves analyzing evolving fraud patterns, developing and deploying advanced prevention components, and leveraging domain expertise, data tools, and modern AI methods to stay ahead of emerging threats.

What you'll do:
Mine massive data sets to uncover fraud patterns and prevention opportunities.
Develop and productionize large-scale ML, DL, and AI models to detect and prevent fraudulent activity.
Translate business and product needs into scientific, explainable, and high-impact solutions.
Design and maintain end-to-end ML pipelines - from data ingestion and feature engineering to serving and monitoring in production.
Collaborate closely with product, engineering, and business teams to drive data-driven decisions.
Stay current with AI and ML research and evaluate new technologies to strengthen Protect360s algorithms.
Requirements:
What you have:
M.Sc in Computer Science, Mathematics, Statistics, Engineering or a related field.
4+ years of experience in applied Data Science or Algorithmic Development, preferably in large-scale production environments.
Hands-on experience in training and fine-tuning machine learning, deep learning, and AI models.
Strong programming skills in Python and proficiency in SQL.
Solid understanding of data pipelines, MLOps practices, and working with huge datasets.
Ability to mentor, collaborate, and communicate complex ideas clearly to diverse audiences.
A fast learner, problem solver, and end-to-end owner with a strong can-do approach.

Bonus Points:
Experience in the ad-tech industry or with fraud detection systems.
Familiarity with LLMs, generative AI, or representation learning for anomaly detection.
Proven track record working with large-scale distributed data systems.
Being introduced by our employee.
This position is open to all candidates.
 
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6 ימים
Location: Herzliya
Job Type: Full Time
At our company, we see the world of cybersecurity differently. Instead of chasing threats, we believe the most practical approach is protecting data from the inside out. Weve built the industrys first fully autonomous Data Security Platform to help our customers dramatically reduce risk with minimal human effort.
At our company, we move fast. Were an ultra-collaborative company with brilliant people who care deeply about the details. Together, were solving interesting and complex puzzles to keep the worlds data safe.
We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you.
Responsibilities
Design and Build ML Infrastructure: Develop and maintain scalable, production-ready infrastructure for both traditional ML (anomaly detection, user behavior analytics) and LLMs across enterprise environments.
Optimize Model Performance: Analyze and optimize LLM and ML performance using techniques like knowledge distillation, quantization, and efficient data structures to boost efficiency and lower resource costs.
Deploy and Integrate: Collaborate heavily with software and data engineers to integrate models into production pipelines, cloud-native environments, and on-premises workflows.
Drive MLOps & Tooling: Manage the complete model lifecycle (monitoring, retraining, deployment) and actively build custom tools from scratch to improve the team's ML workflows.
Elevate Engineering Standards: Perform rigorous code reviews, ensure robust Python production standards, and provide technical guidance to data scientists and junior engineers.
Cross-Functional Partnership: Partner with cybersecurity researchers and product teams to translate research insights and threat analysis features into highly performant production code.
Open-Source Engagement: Actively engage with the open-source community by contributing code and expertise to relevant ML/LLM projects.
Requirements:
Experience: 5+ years of experience in a backend, ML engineering, or MLOps role with a demonstrable track record of successfully deploying and maintaining code in high-volume production environments.
Programming Mastery: Strong proficiency in Python with a deep understanding of software engineering principles, design patterns, and debugging.
Applied ML/LLM Knowledge: Hands-on experience developing and fine-tuning models using frameworks like PyTorch, HF ecosystem and deepspeed, alongside practical experience with LLMs, prompt engineering, and vector databases.
Data & MLOps Infrastructure: Strong experience with Data/MLOps tools (e.g., MLflow, Airflow, DVC) and deployment technologies (CI/CD, Kubernetes, containerization).
Big Data & Cloud: Proficiency with big data platforms (like Databricks or PySpark) and a solid understanding of public cloud platform architectures.
Ownership: Exceptional problem-solving skills with the ability to take full ownership of complex tasks from the design phase through to full production implementation.
Advantages
Prior experience building cybersecurity, data protection, or enterprise threat detection products.
Familiarity with user behavior-based anomaly detection or metadata analytics.
Experience with advanced retrieval-augmented generation (RAG) frameworks.
This position is open to all candidates.
 
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12/04/2026
Location: Herzliya
Job Type: Full Time
We are looking for a Senior AI Prompt Engineer who will own the design, development, and optimization of AI Agent experiences built on the Zowie AI platform. You will engineer the prompts, system instructions, guardrails, and multi-turn conversational flows that power our customer-facing AI Agents across chat and email-automation channels.
This is not a surface-level content role - you will operate at the intersection of language, logic, and AI behavior, shaping how our agents reason, respond, escalate, and self-correct. As part of the Digital & AI team, you will collaborate closely with Product, Engineering, AI/ML, Analysts, CX, Operations, and Localization teams to deliver intelligent, scalable, and trustworthy conversational solutions.
What you'll do:
Design, write, and optimize AI-driven conversational experiences, including system prompts, guardrails, tool-use instructions, and multi-turn flows across chatbot and email-automation channels.
Engineer and maintain reusable prompt frameworks, templates, and conversation patterns that ensure consistency in tone, safety, domain accuracy, and localization across markets on multiple channels such as AI Chat, Ai email bot, AI Voice bot.
Define and refine AI Agent behavior across user scenarios, edge cases, error states, escalation paths, and regulatory/compliance requirements.
Own end-to-end conversational journeys - from problem discovery and use-case research through design, prompt engineering, testing, deployment, and iterative optimization.
Build and maintain prompt evaluation pipelines - designing test cases, scoring rubrics, and regression tests to systematically measure prompt quality, hallucination rates, and task-completion accuracy.
Monitor, analyze, and improve AI Agent performance using analytics dashboards, QA outputs, hallucination findings, user feedback, and operational metrics; translate insights into concrete prompt improvements.
Collaborate cross-functional with Product, Engineering, AI/ML, CX, and Operations teams to identify high-impact use cases, define agent capabilities, and deliver scalable solutions.
Contribute to internal prompt engineering guidelines, conversational design systems, and AI best practices - helping establish our standards for responsible, effective AI Agent deployment.
Stay current with advancements in LLMs, agentic AI patterns, prompt optimization strategies, and conversational AI tooling; bring relevant innovations into the teams workflow.
דרישות:
3-4+ years of hands-on experience working with Large Language Models (LLMs) - including prompt engineering, system prompt design, and LLM-based application development (e.g., OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini).
English proficiency - Mandatory (native or near-native written English; this role is language-critical).
Proven experience designing, deploying, and optimizing AI-powered conversational experiences (chatbots, AI agents, email automation, Voice bot or virtual assistants).
Coding/scripting experience (Python, JavaScript) for prototyping, automation, or prompt testing.
Experience with AI Agent architectures and concepts - tool use, function calling, RAG, multi-step reasoning, guardrails, and escalation logic.
Strong analytical skills - comfortable working with conversation analytics, A/B testing prompt variants, and using data to drive design decisions.
Experience designing for multilingual and multicultural audiences.
Ability to collaborate with developers and data teams to implement, test, and iterate on AI flows.
Familiarity with version control practices for prompt management and documentation.
Excellent stakeholder management - able to align multiple teams around conversational strategy and priorities.
Advantages:
Experience with conversational AI platforms (e.g., Zowie ai, Kore.ai, Yellow.ai, Ada, Cognity).
Knowledge of SQL or analytics/BI tools for performance analysis.
Background in customer service, contact center, or fintech environmen המשרה מיועדת לנשים ולגברים כאחד.
 
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חברה חסויה
Location: Herzliya
Job Type: Full Time
We are looking for a Software Engineer specializing in ML systems Engineering to join Development department.
While vision and language models have become increasingly commoditized, proprietary deep learning models are unique, fast-evolving, and deployed in live trading across the worlds most efficient and sophisticated financial markets. Operating in this environment presents distinct scaling challenges and continuous opportunities for optimization. Success in this role requires first-principles thinking and a deep understanding of the engineering trade-offs behind high-performance DL systems.
This is a pivotal role within engineering organization. You will work closely with researchers and engineers across the company, running deep learning models on massive compute clusters and adapting them for production serving under strict and non-trivial constraints.
Requirements:
B.Sc. with honors in CS/EE/Math/Physics, or a related field from a top-tier university
5+ years of hands-on experience building and deploying large-scale deep learning systems in production
Advanced proficiency in PyTorch/TensorFlo
Preferred Qualifications :
M.Sc. or Ph.D. in a relevant quantitative field - Advantage
Proficiency in Python/C/C++
Deep, working knowledge of PyTorch internals
Strong experience in several of the following areas:
Performance profiling and optimization of deep learning workloa
Orchestrating and optimizing large-scale distributed training (hundreds to thousands of GPUs)
Optimizing model serving and inference pipelines (quantization, distillation, compilation, memory optimization, etc.)
Training and scaling state-of-the-art vision, language, or diffusion models
Implementing custom CUDA/Triton kernels
This position is open to all candidates.
 
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חברה חסויה
Location: Herzliya
Job Type: Full Time
Our unique research team is expanding, we are looking for smart and humble team members to join the team and solve complex problems.
Our technical challenges include developing new trading strategies, , improving the performance of our algorithms, finding new ways to beat the markets.
As an ML researcher you will collaborate with our R&D team to execute live trading strategies. If you are looking to make an impact by putting into practice successful ideas and seeing immediately the outcome, make influence on financial performance this is a great opportunity.
Requirements:
Mange and lead independent research applying ML/DL methods to a wide variety of datasets.
Creatively find new trading strategies
Work with other team members to optimize Algorithms
Requirements
Masters or PhD in Computer Science, Physics, EE, Mathematics, Statistics, or a related field.
5+ Years of experience of ML research/Deep Learning etc.
Experience with software engineering in Python (must) , C++/Rust is a plus.
Strong statistical analysis and mathematical skill.
A great team player eager to share/learn/teach other team members.
Creative, self-motivated, love complex problems, determined.
This position is open to all candidates.
 
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לפני 11 שעות
Location: Herzliya
Job Type: Full Time
A hands-on engineering role focused on building production-grade AI/ML systems and the automation infrastructure that supports them - driving AI adoption into developer workflows, internal tooling, and domain-specific applications across the organization.

As a member of the AI Infrastructure & Applications team, you will lead the design, development, and production deployment of AI/ML-powered systems alongside the automation infrastructure and developer platforms that support them.
You will architect intelligent, scalable solutions used across the organization - driving AI adoption into developer and automation workflows, internal tooling, and domain-specific applications - while also building and maintaining the automation frameworks and infrastructure those systems depend on.
The systems you build are expected to be production-grade, reliable, observable, and continuously improving.

Responsibilities
Architect and ship end-to-end AI-powered applications and pipelines, from prototype to production.
Build agentic systems, RAG pipelines, and tool-use patterns that integrate LLMs into real workflows.
Define and own AI quality metrics (accuracy, groundedness, hallucination rate, task completion) and integrate them into CI/CD release gates.
Design evaluation frameworks for non-deterministic systems: offline evals, human-in-the-loop review, and automated regression suites.
Harness AI/LLMs to extend and enhance existing automation infrastructure, improving system performance and operational efficiency.
Build scalable automation frameworks, APIs, and tooling used across the organization.
Collaborate with engineering, CI, and domain teams to address automation needs across hardware, software, and cloud.
Distill requirements from a large, diverse user base into generic, reusable, maintainable solutions.
Implement monitoring, drift detection, and structured feedback pipelines for continuous improvement.
Apply rigorous engineering discipline - test design, release criteria, rollback strategies - to AI-native deployments.
Partner with product, design, and domain experts to define use cases, acceptance criteria, and rollout plans.
Requirements:
Minimum Qualifications
BSc in Computer Science, Software Engineering, or related field - or equivalent industry experience.
Strong programming, system design, and API design skills with a focus on scalability and production-readiness.
Proficiency in Python for automation, API development and pipeline engineering.
Experience building automation frameworks, internal developer tools, and shared platforms at scale.
Solid understanding of prompt engineering, retrieval strategies, context management, and model orchestration.
Hands-on experience building and deploying LLM-powered systems: agentic pipelines, RAG, tool-use, and function-calling.
Strong debugging skills across the full AI stack; familiarity with LLM safety and responsible AI practices.
Experience designing and running AI evaluations - automated and human-in-the-loop - and embedding quality gates into CI/CD release workflows.

Preferred Qualifications
Experience leading projects end-to-end - from initial scoping and stakeholder alignment through delivery- coordinating across engineering, product, design, and domain teams.
Practical systems management experience: configuration management, dependency resolution, and deployment tooling across cloud and on-prem environments.
Ability to design sustainable automation systems serving a large, diverse engineering user base.
Hands-on experience with orchestration frameworks and managing the full development lifecycle of complex, multi-component systems.
MA in Computer Science, Software Engineering, or related field.
This position is open to all candidates.
 
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Location: Herzliya
Job Type: Full Time
As an Embedded Software and Prototyping Engineer working on visionOS platforms, you will be responsible for designing, prototyping, and developing real-time software across the visionOS stack.

Responsibilities
Define, design and develop software solutions for our AR/VR technology.
Work cross-functionally with multiple teams, drive requirements, and deliver end-to-end solutions.
Understand the end customer use-cases, and design and develop software solutions tailored to those experiences.
Develop early prototyping software solutions in simulation/emulation environment.
Deliver shipping quality software solutions.
Identify and implement efficient system-level solutions across HW and SW to meet the product's performance goals within the power constraints.
Debug hard to reproduce issues and propose solutions with minimum impact to user experience.
Requirements:
Minimum Qualifications
BS in Computer Science/Computer Engineering or equivalent experience/skills.
At least 4 years of relevant experience.
In-depth knowledge of C/C++.
Strong knowledge of operating systems fundamentals and embedded systems.
Experience in developing kernel drivers, embedded firmware, system frameworks, etc.
Strong analytical and debugging skills.
Strong communication and collaboration skills.

Preferred Qualifications
Experience with development in simulation and emulation environment.
Thrive in a collaborative environment and able to confidently driving multiple projects across many teams.
Obsessively passionate and inquisitive, and seek to solve everyday problems in innovative ways.
Ability to work under tight schedule and deliver on time.
Laser-focused on the smallest details that are meaningful to our customers.
Familiarity of our Operating Systems i.e. iOS, visionOS, macOS, etc.
Understanding of Swift programming language.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8641593
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לפני 11 שעות
Location: Herzliya
Job Type: Full Time
Join a highly skilled engineering team building core storage infrastructure across multiple system layers. You'll develop and enhance frameworks that handle disk image operations, provide unified storage abstractions, and enable cutting-edge virtualization technologies. This role requires both breadth and depth, comfortable working from kernel-level drivers to user-space frameworks, debugging complex multi-layered systems, and collaborating across hardware, kernel, and application teams. You'll participate in all phases of development: architecture, implementation, optimization, testing, and integration with deeply integrated platform features.

Responsibilities:
Develop kernel-level storage components and user-space frameworks for macOS and our other platforms.
Optimize I/O performance, resource utilization, and power efficiency across the storage stack.
Debug and resolve complex issues spanning hardware, firmware, kernel, and user-space boundaries.
Collaborate with cross-functional teams, including hardware, kernel, filesystem, and virtualization engineers.
Write comprehensive test suites, performance benchmarks, and technical documentation.
Contribute to architecture decisions and long-term technical direction for storage systems.
Requirements:
Minimum Qualifications
5+ years of systems programming experience with demonstrated ability to work across multiple layers of the software stack.
Excellent programming skills in C++ and Swift/Obj-C.
Solid understanding of operating system fundamentals, including memory management, concurrency, and I/O subsystems.
B.S. or M.S. in Computer Science, Computer Engineering, or equivalent experience.
Experience with POSIX I/O, multithreaded programming, and performance optimization.
Proficiency in scripting languages (Python, Bash, or similar) for automation and tooling.
Strong debugging skills for complex, multi-layered systems.
Familiarity with build systems and version control (git).
Excellent communication and collaboration skills.

Preferred Qualifications
Kernel development experience (driver development, system calls, kernel debugging).
macOS or iOS development experience.
Experience with virtualization technologies (hypervisors, paravirtualization, VirtIO).
Familiarity with Unix/Linux internals.
Experience with block storage, remote storage, or distributed storage 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
8659241
סגור
שירות זה פתוח ללקוחות VIP בלבד