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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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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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הגשת מועמדותהגש מועמדות
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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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06/04/2026
חברה חסויה
Location: Herzliya
Job Type: Full Time
Design and execute research projects using advanced methodologies and tools to generate actionable insights that improve decision-making.
Analyze data and apply critical thinking to identify innovation opportunities and optimize research processes.
Prepare scientific reports and presentations to effectively communicate findings and recommendations to stakeholders.
Collaborate across teams and consult with experts, demonstrating adaptability, receptiveness to feedback.
Requirements:
M.Sc. in Computer Science or other relevant degrees.
Experience in data structures and algorithmic research and implementation roles in related fields
2-5 years of experience in using M/LLMs and agentic frameworks
Knowledge and experience in deep learning - NLP, computer vision, time series or standard ML
Fundamental knowledge of programming principles, substantial experience in Python and experience with MLOps practices (Git, Kubernetes, Docker, DVC - advantage)
Ability to work independently and within a team in a fast-moving environment.
Willingness to travel abroad (10%).
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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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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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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הגשת מועמדותהגש מועמדות
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05/04/2026
Location: Herzliya
Job Type: Full Time
We are hiring Senior and Staff ML Engineers that sit within Safety Systems / autonomy organisations, building critical behaviours for Level 2 to level 4 driving. It is highly product-focused: you will train and iterate on end-to-end driving models and get them shipped into the car on a fast timeline measured in months. The opportunity is to own the full loop from data and training through evaluation and on-road validation, with direct impact on high-priority commercial deliveries (including the Nissan MVP). You will join a small, high-ownership teams at the point of rapid growth, where execution and real-world outcomes matter.
Key responsibilities
Develop the AI driver model architecture and training algorithms to introduce and enhance the safety behaviors for L2/L3/L4
Own key parts of the training model lifecycle, including evaluation strategy, success metrics, and iteration planning.
Mine, bucket, and curate real-world and synthetic data to teach specific driving behaviours, and implement data schemes to support training.
Run and analyse on-road and offline experiments, translate results into clear next steps, and drive improvements through repeated training cycles.
Requirements:
In order to set you up for success as a Machine Learning Engineer at our company, were looking for the following skills and experience.
Essential
Proven experience training deep learning models, with clear end-to-end ownership (data, training, evaluation, iteration).
Proven Experience taking ML models into production, including working through real-world constraints and quality and safety requirements.
Desirable
Reinforcement learning experience (especially where it materially improved real-world performance).
Experience with end-to-end driving models and / or transformer networks
Automotive or OEM experience, or prior work that involved deploying ML into safety-critical systems.
Experience with a Pytorch lightning training infrastructure.
This position is open to all candidates.
 
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חברה חסויה
Location: Herzliya
Job Type: Full Time
Were hiring an AI Engineer for our AI Core team to build and scale AI across products and workflows, from agentic document understanding to multi-agent systems and ML solutions. This is a hands-on, cross-functional role where youll prototype quickly, build robust evaluations, and ship production-grade AI with measurable business impact.
What youll do:
Build and ship AI/ML solutions using LLMs, agents, retrieval patterns (RAG), and document understanding models, alongside classic ML (classification, ranking, time-series).
Prototype and iterate quickly: turn ideas into high-quality POCs, validate feasibility, and evolve them toward production.
Shape technical direction and evaluate models and approaches using clear benchmarks, metrics, and real-world impact measurement.
Research and apply emerging techniques, e.g., multimodal/document AI, agentic frameworks, synthetic data generation, and architectural approaches.
Partner closely with product, engineering, and domain experts to identify opportunities and deliver end-to-end solutions.
Help shape scalable, secure architecture and best practices for AI delivery.
Location: Herzliya | Hybrid work model
Requirements:
5+ years of hands-on experience in AI/ML engineering, or data science with strong engineering ownership.
Strong Python and solid software fundamentals with clean, well-tested, production-quality code.
Hands-on experience with GenAI/LLMs: prompt design, embeddings, fine-tuning and RAG patterns; experience building agents is a strong advantage.
Experience with core ML; NLP/CV/multimodal experience is a plus.
Familiarity with modern AI toolkits (e.g., LangChain, Hugging Face, PyTorch).
Cloud experience (AWS/GCP/Azure) and working with scalable data pipelines.
Strong communication and collaboration skills.
BS/MS/PhD degree in CS/Data Science/Engineering (MS/PhD a plus)
This position is open to all candidates.
 
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