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31/07/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
Company Overview: Our mission is to enable its global customers to protect and save lives by enhancing digital investigations and intelligence gathering to accelerate justice in communities around the world. Our AI-powered Digital Investigation Platform enables customers to lawfully access, collect, analyze and share digital evidence in legally sanctioned investigations while preserving data privacy. Thousands of public safety organizations, intelligence agencies and businesses rely on our digital forensic and investigative solutions-available via cloud, on-premises and hybrid deployments-to close cases faster and safeguard communities.?To learn more, visit us in our website.

Position Overview: As a Senior Software Developer in Cellebrite Labs, your daily mission involves designing and developing advanced capabilities to extract digital evidence from modern Android and IOS devices. You will tackle some of the toughest security protections such as PAC, Secure Elements, Code Signing, Hypervisors, and more. Working in the heart of the Digital Intelligence Labs group, you will contribute to productizing world-unique capabilities that enable law enforcement and private sector customers to conduct legally sanctioned forensic investigations effectively and securely. This role requires a combination of deep technical knowledge, creativity, and persistence to solve complex problems while collaborating closely with top researchers and engineers. Your work will have a direct impact on investigations that save lives and uphold justice globally.


Key Responsibilities:
* Lead and contribute to the development of new extraction technologies for Android and IOS platforms.
* Analyze and reverse-engineer low-level OS internals and security mechanisms.
* Develop robust system -level software in C, C ++, and Python.
* Collaborate with cross-functional teams to design, TEST, and integrate new capabilities into our Digital Intelligence platform.
* Stay current with emerging mobile security technologies and forensic challenges.
* Share knowledge and best practices within the team to elevate overall engineering quality.

Office Location:
Tel Aviv
Requirements:
* 8+ years of software development experience (or equivalent military experience).
* Expertise in system programming and Python programming - required.
* Solid understanding of OS internals with hands-on experience in low-level programming ( Android / Linux bootloaders and Kernel ) - required.
* Experience with C / C ++ programming and reverse engineering - advantage.
* Proactive, curious mindset with strong problem-solving skills.
* Excellent team-player with the ability to independently learn and explore new technologies.


This position is based at our Tel Aviv office in Alon Tower.
#LI-CA1
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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30/07/2026
Location: Netanya
Job Type: Full Time
We are looking for an MLOps Team Leadto drive the development of an internal machine learning platform for a group of ML teams. This is a hands-on leadership role: you will guide a small team of MLOps engineers that builds the automation and infrastructure powering our research (R&D) workflows and runs our pipelines to production. You will take ownership of end-to-end initiatives and drive the team toward critical infrastructure and model-lifecycle milestones, while staying close enough to the code to set technical direction and raise the bar by example.

You will be responsible for building and maintaining the models and data pipelines behind our data science workflows, ensuring the accuracy, consistency, and efficiency of the data used for training and inference, working across structured and unstructured data from many sources on a large-scale, distributed platform.

WHAT YOU WILL DO

- Lead, mentor, and grow a team of MLOps engineers, owning delivery and technical quality.

- Take end-to-end ownership of infrastructure and pipeline initiatives across the LMM group, from design through production.

- Stay hands-on: contribute to design and code, review work, and set engineering standards.

- Drive the team through critical milestones in ML model-lifecycle and infrastructure ownership.

- Partner with R&D and other stakeholders to translate research needs into robust, scalable systems.

- Help evolve the platform, including our ongoing migration from Dask to Ray.
Requirements:
Requirements
- BSc or Master's degree in Computer Science, Mathematics, or Engineering.

- At least 5 years of commercial experience in Python.

- At least 3 years of hands-on commercial MLOps experience in production (not side projects).

- Experience managing or leading a team of engineers, with ownership of both people and delivery.

- Hands-on experience owning the ML model lifecycle (training, deployment, monitoring, retraining).

- Experience with pipeline orchestrators such as Dagster or Airflow.

- Experience with a major cloud provider such as GCP, AWS, or Azure.

- Experience with distributed computing systems.

- Experience with Docker.

- Experience with Kubernetes.

- Commercial experience writing and maintaining scalable ML systems.

- Fluent in English, both written and spoken.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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עדכון קורות החיים לפני שליחה
8762161
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
30/07/2026
Location: Netanya
Job Type: Full Time
We are seeking an MLOps Engineer to help us grow our technical team's capabilities. The ideal candidate has relevant experience in data engineering, preferably within the AI field. Aviation industry experience would be a great addition.

You will be responsible for building and maintaining models and data pipelines that power our data science workflows. You'll play a crucial role in ensuring the accuracy, consistency, and efficiency of the data we use for model training and inference. This involves working with both structured and unstructured data from various sources, leveraging your expertise in data engineering and machine learning to create a robust and scalable system.
Requirements:
Requirements
BSc or Master's degree in Computer Science / Math / Engineering
At least 5 years of commercial experience in Python
At least 3 years hands-on MLOps commercial experience
Experience working with pipeline orchestrators (e.g., Dagster, Airflow)
Experience with distributed computing systems
Experience with Docker and Kubernetes or other scalable containerized solutions
Commercial experience in writing and maintaining scalable ML systems
Fluent in English, both written and spoken
Team player, ready to help others
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8762159
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
30/07/2026
Location: Netanya
Job Type: Full Time
We are seeking a detail-oriented and collaborative Senior ML Engineer to help support and maintain our machine learning capabilities. This role is ideal for someone who enjoys working closely with production systems, ensuring reliability, scalability, and explainability of models while enabling research teams to deliver impact faster.



Responsibilities



Collaborate with cross-functional teams to ensure ML systems remain robust, explainable, and aligned with business needs.
Monitor and report on ML model performance, reliability, and explainability metrics.
Participate in model retraining procedures, implement automation and optimization of MLOps pipelines.
Extend and scale monitoring pipelines, including support for new features in development.
Investigate, troubleshoot, and resolve issues in production ML workflows (tiered support from initial triage to root-cause analysis with model owners).
Develop and maintain repositories for feature engineering, inference monitoring pipelines, and artifact monitoring tools.
Perform exploratory data analysis (EDA) on historical datasets to identify quality issues and maintain data health.
Implement and oversee production based adjusters across customer deployments.
Evaluate and track critical ML artifacts such as explainability files, coverage metrics, and alignment of features.
Support development and maintenance of internal tools (e.g., interfaces, registries, and feature monitoring frameworks).
Build and maintain static and temporal features, including seasonality, event-based, and price-related features.
Requirements:
5+ years of hands-on experience in data science, ML operations, or applied ML support.
Proficiency in Python and standard data/ML libraries (Pandas/Polars, NumPy, Scikit-learn, SQL; experience with PyTorch or TensorFlow is a plus).
Strong data visualization and exploratory data analysis skills for monitoring and debugging pipelines.
Experience with time-series data and feature engineering.
Familiarity with explainability tools and model monitoring best practices.
Strong problem-solving skills with the ability to troubleshoot across data, code, and model workflows.
Excellent communication skills to summarize findings for both technical and non-technical audiences.
Experience with cloud-based ML platforms - preferably GCP
Familiarity with containerization (Docker), K8s, CI/CD workflows, or ML observability tools.
Familiarity with orchestration tools such as Airflow, Kedro or Dagster is a plus.
Prior exposure to demand forecasting, pricing, or revenue management.
Bachelor's or Master's in Computer Science, Machine Learning, Statistics, Engineering or a relevant field.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8762158
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סגור
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 :)
30/07/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for an MLOps Team Leadto drive the development of an internal machine learning platform for a group of ML teams. This is a hands-on leadership role: you will guide a small team of MLOps engineers that builds the automation and infrastructure powering our research (R&D) workflows and runs our pipelines to production. You will take ownership of end-to-end initiatives and drive the team toward critical infrastructure and model-lifecycle milestones, while staying close enough to the code to set technical direction and raise the bar by example.

You will be responsible for building and maintaining the models and data pipelines behind our data science workflows, ensuring the accuracy, consistency, and efficiency of the data used for training and inference, working across structured and unstructured data from many sources on a large-scale, distributed platform.

WHAT YOU WILL DO

- Lead, mentor, and grow a team of MLOps engineers, owning delivery and technical quality.

- Take end-to-end ownership of infrastructure and pipeline initiatives across the LMM group, from design through production.

- Stay hands-on: contribute to design and code, review work, and set engineering standards.

- Drive the team through critical milestones in ML model-lifecycle and infrastructure ownership.

- Partner with R&D and other stakeholders to translate research needs into robust, scalable systems.

- Help evolve the platform, including our ongoing migration from Dask to Ray.
Requirements:
- BSc or Master's degree in Computer Science, Mathematics, or Engineering.

- At least 5 years of commercial experience in Python.

- At least 3 years of hands-on commercial MLOps experience in production (not side projects).

- Experience managing or leading a team of engineers, with ownership of both people and delivery.

- Hands-on experience owning the ML model lifecycle (training, deployment, monitoring, retraining).

- Experience with pipeline orchestrators such as Dagster or Airflow.

- Experience with a major cloud provider such as GCP, AWS, or Azure.

- Experience with distributed computing systems.

- Experience with Docker.

- Experience with Kubernetes.

- Commercial experience writing and maintaining scalable ML systems.

- Fluent in English, both written and spoken.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8762151
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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 :)
30/07/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking a talented and self-driven experienced Data Scientist to help advance our machine learning capabilities.This is a key role for someone passionate about leveraging machine learning to solve complex, real-world problems and deliver measurable business impact.

Responsibilities:

Develop and implement state-of-the-art econometric and machine learning models for demand forecasting.
Conduct research and experimentation to evaluate novel approaches for improving accuracy, robustness, and scalability.
Collaborate with cross-functional teams (including product, data engineering, MLOPS and Platform) to deploy ML systems in production.
Clearly communicate complex technical findings to non-technical stakeholders, including product leaders and executives.
Requirements:
5+ years of hands-on experience in data science and machine learning with a proven record of leveraging modeling into business outcomes.
Proficiency in Python and its ML/data stack (e.g., PyTorch or TensorFlow, Pandas, NumPy, Scikit-learn).
Expertise in time-series forecasting, ideally Deep Learning based, preferably in demand prediction or related areas.
Feature engineering, feature importance testing, explainability based experience.
Masters or PhD in Computer Science, Machine Learning, Statistics, Engineering or a relevant field.
Solid understanding of ML production workflows (versioning, testing, reproducibility, and deployment).
Excellent communication and collaboration skills.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8762150
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סגור
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 :)
30/07/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking an MLOps Engineer to help us grow our technical team's capabilities. The ideal candidate has relevant experience in data engineering, preferably within the AI field. Aviation industry experience would be a great addition.

You will be responsible for building and maintaining models and data pipelines that power our data science workflows. You'll play a crucial role in ensuring the accuracy, consistency, and efficiency of the data we use for model training and inference. This involves working with both structured and unstructured data from various sources, leveraging your expertise in data engineering and machine learning to create a robust and scalable system.
Requirements:
Requirements
BSc or Master's degree in Computer Science / Math / Engineering
At least 5 years of commercial experience in Python
At least 3 years hands-on MLOps commercial experience
Experience working with pipeline orchestrators (e.g., Dagster, Airflow)
Experience with distributed computing systems
Experience with Docker and Kubernetes or other scalable containerized solutions
Commercial experience in writing and maintaining scalable ML systems
Fluent in English, both written and spoken
Team player, ready to help others
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8762149
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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 :)
30/07/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking a detail-oriented and collaborative Senior ML Engineer to help support and maintain our machine learning capabilities. This role is ideal for someone who enjoys working closely with production systems, ensuring reliability, scalability, and explainability of models while enabling research teams to deliver impact faster.



Responsibilities



Collaborate with cross-functional teams to ensure ML systems remain robust, explainable, and aligned with business needs.
Monitor and report on ML model performance, reliability, and explainability metrics.
Participate in model retraining procedures, implement automation and optimization of MLOps pipelines.
Extend and scale monitoring pipelines, including support for new features in development.
Investigate, troubleshoot, and resolve issues in production ML workflows (tiered support from initial triage to root-cause analysis with model owners).
Develop and maintain repositories for feature engineering, inference monitoring pipelines, and artifact monitoring tools.
Perform exploratory data analysis (EDA) on historical datasets to identify quality issues and maintain data health.
Implement and oversee production based adjusters across customer deployments.
Evaluate and track critical ML artifacts such as explainability files, coverage metrics, and alignment of features.
Support development and maintenance of internal tools (e.g., interfaces, registries, and feature monitoring frameworks).
Build and maintain static and temporal features, including seasonality, event-based, and price-related features.
Requirements:
5+ years of hands-on experience in data science, ML operations, or applied ML support.
Proficiency in Python and standard data/ML libraries (Pandas/Polars, NumPy, Scikit-learn, SQL; experience with PyTorch or TensorFlow is a plus).
Strong data visualization and exploratory data analysis skills for monitoring and debugging pipelines.
Experience with time-series data and feature engineering.
Familiarity with explainability tools and model monitoring best practices.
Strong problem-solving skills with the ability to troubleshoot across data, code, and model workflows.
Excellent communication skills to summarize findings for both technical and non-technical audiences.
Experience with cloud-based ML platforms - preferably GCP
Familiarity with containerization (Docker), K8s, CI/CD workflows, or ML observability tools.
Familiarity with orchestration tools such as Airflow, Kedro or Dagster is a plus.
Prior exposure to demand forecasting, pricing, or revenue management.
Bachelor's or Master's in Computer Science, Machine Learning, Statistics, Engineering or a relevant field.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8762148
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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 :)
30/07/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Software Engineer to join our Core Team. This team owns and evolves our core query and indexing infrastructure, working directly on our query engine, query optimizations, indexing engines and pipeline. Youll solve deep technical problems and help shape the architecture of high-performance, complex systems.





WHAT YOU WILL DO

Design, develop, and maintain connectors to Databases and SIEMs.
Add new indexing capabilities to our indexing pipeline.
Own technical decisions end-to-end from design to production rollout.
Collaborate closely with product, infra, and data teams to align on technical direction and integration.
Requirements:
5+ years of software engineering experience with strong backend/data systems background
Proficiency in one of this languages: Rust, Java, C/C++
Familiarity with low-level systems concepts like memory management, file formats, thread models, and performance profiling
Proven track record of learning unfamiliar systems and technologies quickly
Strong sense of accountability and ownership, independent and able to multi-task.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8762136
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מה השם שלך?
תיאור
שליחה
סגור
v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
30/07/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for a Software Engineer to join our R&D team. In this role, you'll design and build scalable, high-performance systems that bring together rich backend capabilities and intuitive frontend experiences. You'll be part of a mission-driven team, building innovative technologies that enable security teams to detect, analyze, and respond to threats faster than ever before.





WHAT YOU WILL DO

Develop and own end-to-end features across the entire stack, from backend services to frontend interfaces.
Design and implement distributed backend systems that handle massive volumes of security data in real-time.
Build modern, responsive, and accessible user interfaces using React, TypeScript, Remix, Tailwind, and Shadcn.
Architect and maintain robust APIs and data contracts between the frontend and backend.
Collaborate with product, design, and security experts to deliver impactful user facing features.
Ensure high code quality by writing comprehensive unit, integration, and E2E tests using tools like Vitest, Playwright, and React Testing Library, as well as backend testing tools
Optimize system performance, reliability, and scalability on both ends of the stack.
Take part in critical architectural discussions and influence the technical direction of the platform.
Requirements:
7+ years of professional software engineering experience, with significant hands-on experience in both backend and frontend development.
Deep knowledge of Go or Python for backend services, and React with TypeScript for frontend applications.
Experience designing and working with distributed systems and microservices architecture.
Proven experience with backend testing frameworks such as Pytest or unittest for Python, and Gos testing package along with tools like testify or gomega.
Strong understanding of web fundamentals, API design, system scalability, and data processing.
Experience with performance monitoring and visualization tools like Grafana or Datadog.
A product-driven mindset with an eye for good UX and intuitive design.
Proven experience with testing practices across the stack.
Experience with CI/CD pipelines, Docker, and cloud-native infrastructure.
Strong sense of ownership, collaboration, and accountability.
Excellent communication skills and ability to work cross-functionally.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8762133
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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 :)
30/07/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking an experienced Data Protection Lead to join the Cyber Security organization.

This role combines hands-on Data Leakage Prevention (DLP) engineering with Data Security Posture Management (DSPM) to deliver end-to-end data protection across corporate, cloud, and SaaS environments. You will not only define strategy and standards - you will build, configure, tune, and operate the technical controls that enforce them.

You will own the data protection lifecycle from discovery and classification through policy enforcement and incident response. The role requires deep technical proficiency in DLP platforms and DSPM tooling, combined with the ability to collaborate with Security, IT, Engineering, Product, Privacy and GRC teams to reduce data exposure risks and embed strong data governance practices.

Your responsibilities will include:
Lead and own the organizations data protection domain, including strategy, standards, and hands-on technical implementation
Engineer, deploy, and continuously tune DLP policies across endpoints, email, SaaS, network proxies, and cloud platforms - covering both inline and API-based enforcement modes.
Design and implement DSPM solutions to gain continuous visibility into sensitive data posture, data flows, misconfigurations, and exposure risks across cloud and multi-cloud environments.
Drive data discovery initiatives to identify and inventory sensitive data across databases, SaaS applications, endpoints, and cloud storage.
Define and implement data classification frameworks, labeling standards, and data handling policies integrated with DLP and DSPM controls.
Build and maintain DLP detection rules, regular expressions, fingerprinting, and machine learning-based classifiers to minimize false positives and maximize coverage.
Integrate DSPM findings into DLP enforcement workflows to create a closed-loop data protection architecture.
Define and enforce data access governance, including least-privilege principles and monitoring of sensitive data access patterns.
Monitor, triage, and investigate DLP alerts and DSPM-identified risks, collaborating with SOC and Security teams on escalation and remediation.
Conduct risk assessments and identify gaps in data protection controls across systems, pipelines, and business processes.
Support compliance and regulatory requirements (e.g., GDPR, ISO 27001, SOC 2) related to data security and privacy.
Collaborate with Engineering, IT, Product, and GRC teams to embed data security controls into CI/CD pipelines, systems, and workflows.
Maintain documentation, runbooks, and guidelines for DLP operations, DSPM posture management, and data security practices.
Requirements:
We expect you to have:
6+ years of experience in cyber security, with a strong focus on data security, data protection, or information security.
Proven hands-on engineering experience with enterprise DLP platforms - including policy authoring, rule tuning, incident workflow configuration, and platform administration (e.g., Microsoft Purview DLP, Symantec DLP, Forcepoint, or equivalent).
Hands-on experience deploying and operating DSPM tools (e.g., Cyera, Varonis, Rubrik Security Cloud, Normalyze, Securiti, or equivalent) to manage cloud data exposure and classification at scale.
Deep understanding of DLP enforcement mechanisms: endpoint DLP, network DLP, email DLP, and cloud/API-based DLP controls.
Strong experience with data discovery and classification across cloud environments (AWS, Azure, GCP), SaaS platforms, and on-premises systems.
Ability to write and optimize detection logic - regular expressions, data fingerprinting, document fingerprinting, and EDM (Exact Data Matching).
Experience integrating DLP and DSPM tools with SIEM, SOAR, and ticketing systems for alert routing and automated response.
Experience securing data across cloud environments and SaaS platforms, including shadow IT and unmanaged data stores.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8761546
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סגור
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 :)
מיקום המשרה: מרכז
סוג משרה: משרה מלאה
דרוש/ה Data Engineer.
התפקיד כולל:
• תכנון מודלים ונתוני סכמות התומכים בבינה עסקית בקנה מידה רחב
• הובלת עיצוב ויישום של מבני נתונים אנליטיים מורכבים
• קביעת סטנדרטים ושיטות עבודה מומלצות למידול נתונים בכל הארגון
• הנעת אופטימיזציית ביצועים לשאילתות אנליטיות ועומסי עבודה של דיווח
• הובלת אימוץ פיתוח מבוסס LLM בצוות, חונכות מהנדסים לשימוש אפקטיבי ופיתוח תשתית מאפשרת
• חונכות מהנדסים וביצוע סקירות טכניות
•שיתוף פעולה עם הנהלה לתרגום אסטרטגיה עסקית לארכיטקטורת נתונים
• ביסוס מסגרות לאיכות נתונים וממשל
• הובלת תגובה לאירועים והנעת שיפורי אמינות למערכות BI
• הערכה והכנסת טכנולוגיות ודפוסים חדשים
דרישות:
• 5+ שנות ניסיון בהנדסת נתונים עם דגש על אנליטיקה/BI.
• מיומנויות SQL מומחה עם מומחיות עמוקה ב-PostgreSQL.
• כישורי Python חזקים: מניפולציית נתונים מתקדמת, אוטומציה, בדיקות.
• הצלחה מוכחת בשילוב כלים מבוססי LLM בתהליכי הנדסת נתונים.
• יכולת לתרגם דרישות עסקיות לארכיטקטורה טכנית.
יתרונות משמעותיים:
• ניסיון בבניית פלטפורמות אנליטיקה מאפס.
• מומחיות עמוקה בפנימיות ה-PostgreSQL ואופטימיזציה.
• רקורד של ביסוס סטנדרטים למידול נתונים בין צוותים.
• ניסיון ב-fintech עם הבנת דרישות ציות.
• תרומות לקהילת הנדסת האנליטיקה.
• תואר ראשון במדעי המחשב, מדעי הנתונים, סטטיסטיקה או תחום קשור, או ניסיון מקביל. המשרה מיועדת לנשים ולגברים כאחד.
 
עוד...
הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8761330
סגור
שירות זה פתוח ללקוחות VIP בלבד
סגור
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 :)
30/07/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are building a high-performance inference and fine-tuning platform designed to push foundation models to their hardware limits. Our mission is to maximize throughput, minimise latency, and optimise cost-per-token across tens of thousands of GPUs.



Some directions we are currently working on, and which you can be a part of:

Inference Optimization: Identifying LLM inference bottlenecks to drive production speedups. Squeezing the maximum performance for a wide range of LLM architectures at scale (e.g., GPT-OSS, Kimi K2.5, DeepSeek V3.1/V3.2, GLM-5).
Inference engines support: Implement novel speculative decoding architectures, optimise components of various LLM designs (dense/MoE, autoregressive/parallel), and contribute to open-source inference engines.
Low Precision Training & Inference: Design and productionise low-precision (FP8, NVFP4/MXFP4) training and inference pipelines with measurable gains in throughput and cost-efficiency.
Requirements:
We expect you to have:

A profound understanding of theoretical foundations of machine learning and transformer architecture.
Experience profiling GPU workloads using Nsight, PyTorch profiler, or similar tools
Understanding of GPU memory hierarchy and compute/memory tradeoffs
Familiarity with important ideas in LLM space, such as MHA, RoPE, KV-cache, Flash Attention, and quantisation
Understanding of performance aspects of large neural network training (sharding strategies, custom kernels, hardware features etc.)
Strong software engineering skills (we mostly use Python)
Deep experience with modern deep learning frameworks
Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing
Strong communication and leadership abilities
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8761292
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סגור
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 :)
30/07/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
Ensure fault-tolerance, scale, and uninterrupted operations for the service.
Use cutting-edge cloud technology to solve a variety of infrastructure problems.
Implement and improve CI/CD processes.
Requirements:
We expect you to have:

Solid experience with programming languages (like Go, Python, or C++);
Solid understanding of classic algorithms and data structures;
Commercial experience with and deep understanding of Unix systems and network technology;
Experience with systems for containerization and configuration management (Ansible, Salt, Terraform, Docker, K8s, Helm).
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8761234
סגור
שירות זה פתוח ללקוחות VIP בלבד
סגור
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 :)
30/07/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
As a Software Engineer - Scraping Specialist, youll build the systems that power how AI interacts with the live web. Youll design and implement large-scale, intelligent web acquisition pipelines, making sense of an ever-changing online ecosystem and transforming it into structured, high-quality data.

This role blends technical understanding of browsers, networks, and automation with hands-on engineering. Youll work on adaptive systems that navigate modern websites, understand evolving web interaction ,detection systems, and gather meaningful information safely, efficiently, and at scale.

Your work will directly shape ability to provide AI agents with accurate, real-time knowledge of the world , bridging the gap between the open web and intelligent reasoning.

What Youll Do
Build distributed data acquisition systems that capture and structure the live web
Investigate and analyze browser internals, fingerprinting, and anti-automation systems to develop stealthy, adaptive orchestration layers
Prototype and deploy intelligent automation frameworks using Playwright, Puppeteer, and low-level browser control protocols (CDP)
Conduct hands-on research into network flows, JavaScript-based protections, and emerging web standards affecting automation
Collaborate with AI and infrastructure teams to integrate real-time web data into retrieval pipelines and LLM-powered agents
Translate deep technical insights into production-grade components, balancing research freedom with engineering rigor
Continuously evolve capabilities in resilience, speed, and authenticity of web interaction
Requirements:
What Were Looking For
3-5 years of experience as a backend or systems engineer, ideally working with large-scale, distributed, or web-facing infrastructure
Strong programming skills in Python or Node.js, with experience in Go or C++ considered a strong plus
Proven experience building and maintaining browser automation systems (Playwright, Puppeteer, or CDP) in production environments
Solid understanding of browser internals, network protocols, and web interaction mechanisms
Experience designing high-performance, resilient systems that handle scale, concurrency, and complex orchestration
Strong debugging and analytical skills - able to investigate edge cases, performance bottlenecks, and behavior under dynamic web conditions
Comfortable working in a fast-moving environment, collaborating closely with product, AI, and infrastructure teams to ship reliable systems quickly
Excellent documentation and communication skills to ensure smooth integration and operational visibility
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8761207
סגור
שירות זה פתוח ללקוחות VIP בלבד
משרות שנמחקו