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Following the success of LTX-Video, our widely adopted open-source text-to-video model, we are expanding our efforts to develop cutting-edge video generation models and are hiring Research Scientists to join our LTX-Video Core team.
At our company, weve been at the forefront of innovation in text-to-image and text-to-video generation, with LTX-Video 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 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-video generation.
Collaborate with data engineers to curate and preprocess text and video data.
Optimize models for high performance, ensuring efficiency in training and inference phases.
Build new controls and capabilities into generative text-to-video models.
Stay updated with the latest developments in Generative AI, particularly in the field 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.

We are seeking a Senior Researcher to join our LTX Render Lab team at our company. This team is responsible for developing cutting-edge 3D technology to power state of the art video generation, enabling immersive and dynamic content creation. As a key member of the team, you will lead research efforts in 3D reconstruction, dynamic scene interaction, and multi-view video consistency, driving the transition from early prototypes to scalable, production-ready solutions.
What you will be doing
Conduct applied research in 3D reconstruction, scene creation, and animation.
Develop algorithms for placing characters and objects dynamically within 3D spaces.
Explore multi-view video consistency and advanced camera control for scene animation.
Optimize research code for scalability and real-time performance.
Collaborate with engineers, designers, and product managers to integrate 3D capabilities into user-facing features.
Stay up to date with cutting-edge academic research and apply relevant innovations to production.
Write high-quality code, ensuring research solutions are optimized for real-world applications.
Mentor junior researchers and contribute to knowledge-sharing initiatives within the team.

The Core Generative AI team at our company is a unified group of researchers and engineers dedicated to developing our generative foundational models that serve LTX Studio, our AI-based video creation platform. Our focus is on creating a controllable, cutting-edge video generative model by merging cutting-edge algorithms with exceptional engineering. This involves enhancing machine learning components within our sophisticated internal training framework, crucial for developing advanced models. We specialize in both research and engineering that enable efficient and scalable training and inference, allowing us to deliver state-of-the-art AI-generated video models.
As a Large Scale Training Engineer, you will play a key role in enhancing the training throughput of our internal framework and enabling researchers to pioneer new model concepts. This role demands excellent engineering skills for designing, implementing, and optimizing cutting-edge AI models, alongside writing robust machine learning code and deeply understanding supercomputer performance. Your expertise in performance optimization, understanding distributed systems, and bug elimination will be crucial, as our framework supports extensive computations across numerous virtual machines.
This role is designed for individuals who are not only technically proficient but also deeply passionate about pushing the boundaries of AI and machine learning through innovative engineering and collaborative research.
Key Responsibilities
Profile and optimize the training process to ensure efficiency and effectiveness, including optimizing multimodal data pipelines and data storage methods.
Develop high-performance TPU/CPU kernels and integrate advanced techniques into our training framework to maximize hardware efficiency.
Utilize knowledge of hardware features to make aggressive optimizations and advise on hardware/software co-designs.
Collaboratively develop model architectures with researchers that facilitate efficient training and inference.

Join the cutting-edge CloudGuard AI Security engineering team, where you will be part of a top talented team collaborating to shape and secure next-generation AI-enabled public cloud environments. You will create proof-of-concepts, design robust architectures, and develop products that address the evolving security challenges of AI adoption in modern enterprises.

Key Responsibilities
Pioneer AI Security Solutions: Design, build, and refine innovative security products for AI-driven cloud environments.
Architect & Own EKS-Based Backends: Lead the development of AI security microservices, ensuring high performance, scalability, and reliability.
Full Development Lifecycle: Contribute to every stage, from initial design to deployment, while maintaining best-in-class coding standards.
Continuous Learning & Adapting: Stay current on the fast-paced AI landscape, enterprise use cases, and emerging threat vectors.
Collaborate & Innovate: Work together with product architects and cross-functional teams to refine requirements and deliver groundbreaking security solutions.

We are looking for a Senior Software Developer to join our Cloud Network Security Infrastructure team.

In this role, you will be part of a talented software development team that design and develops Network Security solution for the clouds such as AWS, Microsoft Azure and Google Cloud Platform. You will develop in various programming languages and will be exposed to several different technologies



Key Responsibilities
Full software development lifecycle, starting from the initial concept and design and all the way of development to its final testing
Write well designed, testable, efficient code
Develop features for the cloud environment
Ensure designs are in compliance with specifications
Prepare and produce releases of software components
Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review

Develop end-to-end features for our API security solution in an agile environment.
Write high-quality, secure code following best practices.
Collaborate with cross-functional teams (R&D, Product, QA) to deliver innovative, high-impact solutions.
Work with data analytics and big data technologies to identify and mitigate security threats.
Stay current with emerging API security trends and continuously integrate relevant insights into our product.

The Analytics Cloud team is responsible for building a scalable and reliable data analytics solution in the cloud. This solution aims to transform a multitude of security detections into a coherent and concise attack picture and response procedure.

Key Responsibilities
Lead the design and implementation of reliable, scalable, and performant SaaS service data pipelines making use of modern toolsets and managed services.
Working proactively to make sure tasks get done end-to-end. Working within and across team boundaries to push tasks to completion.
Work closely with our team of data scientists and analysts, who are responsible for developing algorithms, analytical rules, and machine learning data models.

We are looking for a talented and passionate Senior Full-Stack Developer to join our Cloud Infrastructure Group, playing a key role in designing and developing solutions that protect our largest global customers. In this position, you will also contribute to the WAF product's UI and management, shaping the user experience for a cutting-edge security solution.

Join a team of creative and driven professionals dedicated to delivering innovative, high-performance solutions that address the ever-evolving threat landscape with unmatched uptime, scalability, and reliability.

Key Responsibilities
Focus on front-end capabilities, delivering solutions in an agile development environment.
Develop and own features end-to-end, from design to production, including CI/CD pipelines, monitoring, and automated testing.
Build and enhance web front-end infrastructure and work closely with design systems.
Understand customer needs and the broader business context to contribute effectively to the teams success.
Collaborate with a winning team spirit to deliver exceptional results.

As a Staff Infrastructure Software Engineer, you'll join our R&D center in Tel Aviv. You'll be a pivotal member of a cross-functional group working with multiple development teams to build the infrastructure, tooling, and standards for infrastructure and infra-related coding across our company's R&D. This role emphasizes research, programming, building scalable systems, and hands-on operational work in production environments. You'll play a critical role in shaping the future of transportation, affecting millions of riders daily worldwide.

What Youll Do:
Develop, drive, execute, and lead a long-term vision and strategy for our infrastructure, and tooling.
Create scalable, reliable, and efficient systems that enhance our technological foundation and support our growing scale and stability requirements.
Engage in hands-on coding and development, writing, building, deploying, and maintaining code in production environments.
Actively participate in day-to-day production operations alongside research and development, implementing real changes in production systems and directly addressing operational challenges.
Work closely with various development teams, moving between the four teams in our group as needed to address business objectives and tackle the biggest R&D challenges.
Work across a broad spectrum of technological disciplines, from network and operating system internals to high-level architecture planning.

As a Senior Backend Engineer, youll work within our core R&D center as a member of our Backend Team. Youll design, develop, implement, maintain and troubleshoot in a cutting-edge environment. Within our infrastructure, youll focus on building optimized, scalable and innovative designs.

What You'll Do:
Be responsible for implementing microservices from design to production.
Take ownership of development, maintenance, testing strategy, design discussions, and operations.
Participate in all aspects of agile software development including design, implementation, and deployment.
Responsible for the end-to-end lifecycle of new product features / components
Ensuring application performance, uptime, and scale, maintaining high standards of code quality and thoughtful application design
Research and suggest new technologies for boosting the product.
Have an impact on product development by making important technical decisions, influencing the system architecture, development practices and more.

Were looking for a passionate Automation Developer to join our team and help ensure the reliability and quality of our hyper-automation platform.
What You Will Do:
Collaborate with developers to build and enhance test plans (unit, integration, E2E) and define the QA lifecycle.
Develop automated UI and API tests using Playwright for the management app and microservices (Python).
Maintain and improve our companys automation infrastructure and CI/CD pipelines to support scale and reduce delivery times.

We're looking for a Senior Full Stack Developer to join our Discovery team in Tel Aviv. Discovery is a Big Data / AI platform that helps the worlds largest brands make better decisions by understanding what matters to their audiences. The Discovery team also handles the Data Management Platform (DMP), which centralizes and processes data from various sources to optimize audience targeting. Were planning to build a new DMP from scratch in the near future.
What Youll Do:
Plan, implement, and take full ownership of core features, ensuring successful completion of the entire development cycle.
Collaborate with cross-functional teams to contribute to design and architecture decisions.
Create and integrate user interfaces from scratch, ensuring intuitive and responsive designs.
Play a major role in developing our new audience-targeting system, which is based on viewing Live TV, streaming services, and Ads.
Participate in refactoring system components, using the latest technologies to improve performance and stability.
Lead and mentor other developers, providing guidance and expertise on complex projects.

We seek a dynamic and experienced Cyber Security Engineer to join Tipalti! This role presents an exciting opportunity to work in a fast-growing company with great opportunities to make a difference.
As a Cyber Security Engineer at Tipalti, you will be responsible for:
Design and implement security architectures and controls across the organization
Maintain and manage security tools within our environment, such as Firewalls, WAF, EDR, IDS/IPS, SASE, and Security Information systems.
Identify and remediate vulnerabilities and security findings in our infrastructure.
Monitor and optimize security architecture to comply with our compliance requirements and policiesץ
Lead and execute cross-organizational security projects and initiatives
Collaborate with internal teams to enhance security measures

We're hiring an experienced Data Engineer to join our growing team of analytics experts in order to help & lead the build-out of our data integration and pipeline processes, tools and platform.
The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground u.
The right candidate must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our companys data architecture to support our next generation of products and data initiatives.
In this role, you will be responsible for:
Create ELT/Streaming processes and SQL queries to bring data to/from the data warehouse and other data sources.
Establish scalable, efficient, automated processes for large-scale data analyses.
Support the development of performance dashboards & data sets that will generate the right insight.
Work with business owners and partners to build data sets that answer their specific business questions.
Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision-making across the organization.
Works closely with all business units and engineering teams to develop a strategy for long-term data platform architecture.
Own the data lake pipelines, maintenance, improvements and schema.

We are looking for a Data Scientist.
The Data Science department plays a pivotal role in our company, generating value by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making.
What You'll Be Doing:
Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis
Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models
Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes
Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance
Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics
Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively
Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments
Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities