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Required Research Scientist - Audiovisual Generation, Model Foundations
The role
Following the success of LTX-2, our widely adopted open-source text-to-audio+video model, we are expanding our efforts to develop cutting-edge audio+video generation models and are hiring Research Scientists to join our LTX-2 Core team.
Weve been at the forefront of innovation in text-to-image and text-to-audio+video generation, with LTX-2 driving our flagship product, LTX Studio, and gaining significant traction in the research and open-source communities, including integrations with platforms like ComfyUI and Diffusers.
This role focuses on pioneering model architecture and pre-training algorithms, shaping the next generation of our foundational generative AI models.
What you will be doing:
Pre-train and fine-tune video, audio, and image generative models to pursue state-of-the-art results.
Publish papers and open source models to benefit the research community and advance the field.
Design and implement machine learning models for text-to-audio and text-to-video generation.
Collaborate with data engineers to curate and preprocess text and video data.
Optimize models for high performance, ensuring efficient training and inference.
Build new controls and capabilities into generative text-to-audio and text-to-video models.
Stay updated with the latest developments in Generative AI, particularly in the fields of image, video, and audio.
Work closely with product teams to integrate AI models into applications and services.
Conduct experiments and prototype new concepts to advance the capabilities of our AI tools.

Required Research Scientist - LTX Model Evaluation
The Role
As a Research Scientist in Model Evaluation, you are the ultimate authority on model quality and utility. You will design the automated judges, reward models, evaluation datasets, and benchmarking ecosystems that determine the future of LTX. Your mission is to provide the "ground truth" for our pre-training and post-training teams. You will blend the rigor of a researcher with the intuition of a product-thinker, developing metrics that capture both the aesthetic soul of a video and the functional precision required for high-stakes professional use.
Key Responsibilities:
Steer Training & Research: Systematically evaluate model checkpoints to provide actionable insights that guide training experiments and architectural decisions.
Design Benchmark Ecosystems: Develop and run rigorous benchmarks for release candidates against competitive models, ensuring LTX-2 remains world-class.
Build Next-Gen Metrics: Develop robust automatic metrics and Reward Models (e.g., for RL, ITS, auto-research agents) that quantify complex attributes like temporal coherence, physical correctness, spatial accuracy, and foley synchronization.
Diagnose & Analyze: Perform deep root-cause analysis on model failures, providing the diagnostic clarity needed for researchers to implement targeted fixes.
Scale Evaluation: Collaborate with platform engineers to deploy evaluation frameworks across large-scale GPU clusters.

We are seeking a researcher to join the LTX Model Applications team, focusing on advancing and extending the capabilities of our LTX-Video models. You will design and explore new use cases, train novel ways to control the generation process, and push the boundaries of generative video technology. Your work will directly influence millions of users through our apps and contribute to the broader research and open-source communities, shaping the next generation of creative tools.
What you will be doing:
Advance and extend the capabilities of our LTX-Video models through new controls, features, and use cases.
Design and implement machine learning models for video, image, and audio generation, as well as multimodal applications.
Conduct experiments, prototype concepts, and validate ideas to expand generative video technology.
Collaborate with engineers, designers, and product managers to translate research into impactful product features.
Regularly open-source code, models, and research insights, contributing to the academic and open-source communities.
Stay at the forefront of generative AI research in video, image, and audio, and bring relevant advances into our products.
Write high-quality, efficient code and maintain best practices in research workflows.
Mentor other researchers and lead collaborative projects.

We are seeking a highly skilled and experienced Senior Microsoft Sysadmin to join our IT team. The ideal candidate will be responsible for managing and supporting our Active Directory and Office 365 environments, ensuring optimal performance, availability, and security. This role requires in-depth knowledge of Entra ID, SharePoint, OneDrive Exchange online and Teams technologies and the ability to lead complex infrastructure projects.
The position requires on-site presence 4 days per week (and 1 from home): 2 days at our Jerusalem site and 2 days at one of our other locations in Ramat Gan, Tel Aviv, or Petach Tikva.
What will your job look like:
Manage and support Microsoft Active Directory in sync with Entra ID
Manage and support Office365 environment with focus on SharePoint online and Teams
Implement and monitor applications and users authentication (AD, Entra ID)
Manage Users, Group and Computer objects and create Group Policy
Troubleshoot Windows Server Performance issues
Setup Entra ID single sign on (SSO), Enterprise applications and conditional access rules
Support and integrate applications running on Windows platform
Implement security fixes and enchantment across multiple environments
Provide second level support for operations issues in Microsoft environment.

We are looking for a strong, hands-on Data Engineer to join our team and play a key role in building our data infrastructure from the ground up. In this role, you will design and implement scalable data pipelines and platforms, supporting both batch and real-time use cases. You will work closely with analysts and stakeholders to deliver reliable, high-quality data solutions, and take full ownership of data flows - from ingestion to consumption. This is a great opportunity for an executor who enjoys building, moving fast, and making an impact.
What will your job look like?
Design, build, and maintain robust and scalable data pipelines (batch and real-time) end-to-end.
Design and implement scalable, flexible data architectures to support evolving business needs.
Build and manage data platforms, including data lakes and data warehouses.
Integrate multiple data sources (structured and unstructured) into a unified data platform using batch (ETL) and real-time streaming solutions.
Design and implement efficient data models, schemas, and database structures (SQL / NoSQL).
Develop and implement data quality processes to ensure accuracy, consistency, and reliability.
Monitor, optimize, and troubleshoot data infrastructure to meet performance and SLA requirements.

abra is seeking for an Senior FPGA Engineer This role require close collaboration with multidisciplinary teams, including hardware, software, verification, and system engineers, to deliver high-performance, mission-critical FPGA solutions—from concept and design through development and production, all the way to integration and operational deployment. Full-time position, Sunday–Thursday, in Holon.

our company is a leading hybrid cloud security company revolutionizing the way organizations manage cyber risk. We provide cutting-edge exposure management solutions by simulating real-world attack paths across cloud and on-prem environments. Our technology identifies misconfigurations, vulnerabilities, and identity exposures, allowing organizations to remediate risks with minimal effort.
We are looking for a motivated SRE Intern to join our Site Reliability Engineering team in a part-time capacity. This is an exciting opportunity to gain hands-on experience operating large-scale, multi-cloud production infrastructure that powers a real cybersecurity product. You'll work alongside experienced SREs on the systems and automation that keep our platform reliable, observable, and secure. Responsibilities: Help build and maintain automation and tooling that improve the reliability and operability of our production environments Work with Kubernetes and multi-cloud infrastructure (AWS / GCP / others) under the guidance of senior engineers Contribute to our observability stack - dashboards, alerts, and monitoring - to help us detect and understand issues faster Write scripts and small services ( Python / Go / NodeJS) to automate operational tasks and reduce manual work Participate in investigating and resolving production issues, learning real-world incident response and troubleshooting Collaborate with developers and SREs across the team to ship and operate changes safely