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Required Research Scientist - Audiovisual Understanding, Model Foundations
Team & role
The Core Generative AI team 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 Video Understanding Research Scientist, you will play a key role in improving video generation quality and efficiency by improving video and audio understanding pipelines used for both training data construction and model evaluation.. This role demands hands-on work with large-scale Video Language Models (VLLMs), including fine-tuning, post-training, and control, alongside implementing classic computer vision and signal processing algorithms and applying strong research skills. Your expertise in post-training and controlling large scale foundational models, understanding statistics, implementing complex systems and eliminating bugs will be crucial, as our video training sets consist of petabytes of data processed across hundreds to thousands of virtual machines.
What you will be doing
Fine-tune and control VLLMs for video and audio understanding.
Design algorithms for balancing, filtering, and curating training and evaluation datasets, informed by model behavior and failure modes.
Implement classic and modern algorithms for processing, clustering, evaluation and filtering of large scale datasets.
Work within high-performance, scalable distributed systems capable of handling petabytes of data, with attention to throughput, correctness, and reproducibility..
Collaborate with other researchers and product stakeholders to iteratively improve training sets and evaluation protocols through tight feedback loops driven by model performance.

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 Large Scale Training Engineer - LTX Model
About the Role
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 understanding supercomputer performance deeply. 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/GPU/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.
Design, maintain, and evolve a high-quality, shared codebase that emphasizes correctness, readability, extensibility, testing, and long-term maintainability, while balancing performance requirements.

Required Research Scientist - LTX Model Quality
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-Applications team.
As a Research Scientist in the LTX Model Quality team, you will play a key role in elevating the quality, controllability, and alignment of our video generation model. This role focuses on the critical post-training phase-developing and implementing techniques such as preference optimization, reward modeling, and human feedback integration to refine model outputs. You will design robust evaluation frameworks, define quality metrics, and build systematic approaches to identify and address model failure modes. Your work will directly impact the quality of the videos we generate.
What you will be doing
Develop and implement post-training pipelines, including RLHF, DPO, and other preference-based optimization techniques for video generation models.
Fine-tune and control VLLMs for video and audio understanding.
Design and iterate on quality evaluation metrics and frameworks.
Conduct systematic failure mode analysis and develop targeted interventions to address quality gaps.
Build and curate high-quality preference datasets and evaluation benchmarks that capture nuanced aspects of video generation quality.
Collaborate closely with fellow researchers to establish tight feedback loops between human judgment and model improvement.

Required Tech Lead - ML Platform
What you will be doing
As the ML Platform Tech Lead, youll be responsible for the development of our AI infrastructure, taking an active role in mentoring backend engineers directly.
This is a hands-on tech- lead position that blends system design and technical strategy. You will be expected to work closely with our ML research teams, product, and engineering stakeholders to take cutting-edge AI models into production, powering features across our creative apps used by millions worldwide.
You will own the full development lifecycle, from system architecture through deployment and operation, while also being accountable for team delivery, collaboration, and growth.

Required Senior Software Engineer - Research
What you will be doing
As an ML Software Engineer with a focus on low-level and CUDA-based optimizations, you will play a key role in shaping the design, performance, and scalability of our machine learning inference systems. Youll work on deeply technical challenges at the intersection of GPU acceleration, systems architecture, and ML deployment.
Your expertise in CUDA, C/C++, and performance tuning will be crucial in enhancing runtime efficiency across heterogeneous computing environments. Youll collaborate with designers, researchers, and backend engineers to build production-grade ML pipelines that are optimized for latency, throughput, and memory use, contributing directly to the infrastructure powering our next-generation AI products.This role is ideal for an engineer with strong systems-level thinking, deep familiarity with GPU internals, and a passion for pushing the boundaries of performance and efficiency in machine learning infrastructure.
Responsibilities
Design and implement highly optimized GPU-accelerated ML inference systems using CUDA and low-level parallelism techniques
Optimize memory, compute, and data flow to meet real-time or high-throughput constraints
Improve the performance, reliability, and observability of our inference backend across diverse compute targets (CPU/GPU)
Collaborate with cross-functional teams (including researchers, developers, and designers) to deliver efficient and scalable inference solutions
Contribute to ComfyUI and internal infrastructure to improve usability and performance of model execution flows
Investigate performance bottlenecks at all levels of the stack-from Python to kernel-level execution
Navigate and enhance a large, complex, production-grade codebase
Drive innovation in low-level system design to support future ML workloads.

Required Senior BI Engineer
What youll be doing
As a BI Engineer on our team, you'll collaborate with talented professionals dedicated to pushing boundaries and creating advanced solutions. You'll also play a key role in pioneering the adoption of cutting-edge AI-driven tools and processes, proactively advocating for innovative solutions, LLM-based scripting, and efficient AI workflows. Your early-adopter mindset will be essential in shaping the future of data-driven excellence.
Collaboration and Communication: Work closely with data analysts, data scientists, tech, finance and business stakeholders to understand their data requirements to build and deliver data infrastructure, reports and insights that meet their needs.
ETL Processes: Develop highly scalable complex data pipelines to integrate data from multiple sources, ensure that data is accurately extracted from source systems, transformed into the required format, and loaded into the data warehouse (DWH) (using DBT, Git). It also includes verification and monitoring of data quality (Elementary).
Implement GenAI solutions: As part of the job, you will implement new solutions and tools to improve the efficiency of the teams, support self-service for the users and provide insights easily, automatically and quickly.
Data modeling: Responsible for the model, design, implementation, maintenance and improvement of the data warehouses, as well as ensuring the integrity and security of data. Support users needs, including performance and monitor cost
Business Analytics Tools: Design and implement BI tools across the company. Troubleshooting and optimizing the tools and systems to improve performance. This includes ensuring that the reports and dashboards are running efficiently and meeting the user's needs (using ThoughtSpot, Hex)
Staying Updated with Industry Trends: Keep up with the latest trends and technologies in data solutions, analytics and business intelligence to ensure that we stay ahead in leveraging data for business decisions. Continuously questioning assumptions, processes, and outcomes to uncover hidden opportunities or potential issues.

Required Product Analyst, Facetune
As a Product Analyst on the Facetune team - our flagship app with millions of active users worldwide - youll play a critical role in shaping the user experience for one of the most iconic creative tools available. Youll be responsible for leveraging data to drive key product decisions, ensuring that insights are the foundation of product strategy and not just a guiding tool. Your analysis will directly influence product direction, user experience optimizations, and the success of experiments across our products.
This isnt just another back-office BI role. Data drives strategy. Youll work directly with product managers, designers, and engineers, using your analytical skills to shape key decisions, optimize user experiences, and lead experiments that have a direct impact on our product strategy and growth.
What you will be doing
Drive key product decisions by turning data into powerful insights that shape strategy
Partner with product teams to define goals, set metrics, and monitor performance
Shape product features and experiments with a data-driven perspective
Build dynamic dashboards that keep teams aligned on critical KPIs
Adapt quickly in a fast-paced environment to meet evolving needs
Act as a strategic partner to product leadership, surfacing key growth opportunities, identifying blind spots, and proactively recommending next steps
Collaborate closely with PMs, growth marketers, designers, and AI experts to bring data-driven thinking into every stage of the product lifecycle from ideation to post-launch evaluation.

abra is seeking for an Full Stack .NET Developer. This role requires developing new systems, as well as maintaining and enhancing existing ones. Work involves development with ASP.NET, VB.NET, JavaScript, Web API, working with Angular, and more. Full-time position, Sunday to Thursday, in Jerusalem

About the Position:

Alan J. Perlis once said, "There are two ways to write error-free programs; only the third one works."

Your role will be to work as an integral part of our QA Team and development process to help deliver the best software products to our clients. As a small company, we have the advantages of spending more time on productive work and keeping the red tape to a minimum.
If you are an independently-minded team player who loves being able to prod, poke, break others' hard work - and isnt afraid of numbers - this is the place for you.

Responsibilities

TEST Design and Planning
Manual & Systems Testing
data -centric Testing (validation of data, calculations, and analytical outputs)
Reviewing reports and identifying inconsistencies or anomalies
Working closely with the development team

Required PC application developer
A leading company in the development and production of Inertial Navigation Systems for the defense industry in Israel and International Markets. We are an innovative, agile company, with proven field experience, backed by strong and reputable corporate owners.
We are seeking a motivated Software Development to join our team and assist in developing and maintaining Software for our cutting-edge products.
Job Description
Develop automation tools for multidisciplinary systems based on the customers specifications and requirements.
Collaborate closely with multiple interfaces - R&D, production engineering and system testing with company cross products and be part of the R&D team.
Develop QT and various applications in a Windows environment.
Engage in Software development for Hardware components, working with complex multidisciplinary systems and using variety communication protocols.
Design, write Software documentation, develop code, and perform code reviews.

We are At Cross River, we're building the financial infrastructure that powers global innovation. With our cutting-edge suite of embedded payments, cards, and lending solutions, we enable millions of businesses and consumers to transact seamlessly and securely. With 900+ employees worldwide and an R&D center of over 160 employees in Jerusalem - we’re reshaping how financial technology is developed and delivered. .

The Role:
As the Security Engineering Operations Assistant, you'll be the organizational backbone for the VP, Security Engineering—ensuring requests move forward, deadlines stay visible, and nothing gets lost in the shuffle. This isn't about being an admin; it's about being the force multiplier that lets security leadership focus on strategy and technical priorities while you keep the machine running smoothly. If you're the person who naturally keeps lists, follows up before being asked, and gets satisfaction from bringing order to chaos—this role was made for you.

Who You Are:
You're the person everyone relies on to remember the thing that was supposed to happen last Tuesday. You've got 2–5 years of experience in technical coordination, support roles, or security/IT/engineering operations environments, and you know how to work alongside technical teams without needing your hand held. You're exceptionally organized—not in a "my desk is clean" way, but in a "nothing falls through the cracks" way. You communicate clearly in writing and conversation, you're comfortable working closely with senior leadership, and you handle sensitive information with discretion. You're not intimidated by technical discussions—even if you're not the one configuring the firewall, you can follow along, capture the key decisions, and know what questions to ask to make sure everyone's aligned on next steps. You're proactive, dependable, and genuinely curious about how things work.

What You’ll Actually Be Doing:
Direct Support to Security Engineering Leadership
* Assist the VP, Security Engineering with tracking requests, action items, and follow-ups arising from meetings, emails, and discussions
* Maintain organized lists of open items, next steps, and pending decisions
* Perform routine follow-ups with internal teams and external vendors on behalf of Security Engineering
* Help ensure deadlines and commitments are visible and monitored
* Surface overdue items or risks that may require attention Coordination & Task Tracking
* Support coordination of security engineering activities across Security, IT, Engineering, GRC, and external partners
* Track progress of assigned tasks and initiatives using established tools and processes
* Assist in scheduling, preparation, and follow-up for security-related meetings
* Help organize priorities and timelines across multiple parallel efforts Technical Awareness & Documentation
* Maintain familiarity with core security engineering domains, including: Identity and Access Management, Endpoint and device management, Cloud security basics (AWS and Azure), Security tooling and operational workflows
* Capture key outcomes, decisions, and action items from technical discussions
* Maintain documentation, trackers, and status updates
* Ask clarifying questions to ensure expectations and next steps are understood Communication & Information Flow
* Support intake and coordination of inbound requests to the Security Engineering team
* Prepare clear summaries and status updates as needed
* Help ensure relevant information is shared with appropriate stakeholders
* Support prioritization discussions by maintaining visibility into current workload and commitments


Why You’ll Love Working Here:

* Flexible hybrid work model: three days a week at our Jerusalem office
* Monthly wellness reimbursement – from therapy to gel manicure, it's up to you
* Full Keren Hishtalmut, private health and dental insuranc

Were looking for a Senior Microsoft Dynamics 365 Configurator / Developer to take the lead in building seamless, scalable internal systems that power our operations. This role is critical to deliver world-class experiences for both our teams and end users by configuring and integrating Microsoft Dynamics 365 CRM and the full Power Platform suite. Youll have significant autonomy, working across Power Pages, Power Automate, Teams, and SharePoint to design and implement best-in-class solutions. Your work will directly support regulatory compliance, partner success, and internal workflows, reducing tech debt and improving user experience.
As part of a remote-friendly team working mostly NY hours, youll collaborate with peers across time zones while growing your technical leadership.
Who You Are:
A proactive problem-solver who thrives in dynamic, collaborative environments
A strong communicator, fluent in both Hebrew and English (written and verbal)
Curious, tech-savvy, and driven to implement scalable, maintainable solutions
Motivated by impact and continuous improvement
What Youll Actually Be Doing:
Configure and develop solutions in Dynamics 365 CRM, Power Pages, Power Automate, and Power Apps
Design and lead scalable integrations across Microsoft and legacy systems
Customize D365 apps, implement Power BI dashboards, and build automation flows
Maintain source control, CI/CD pipelines, and application lifecycle management
Collaborate closely with solution architects and stakeholders across time zones
Lead technical workshops, user training, and support
Ensure best practices for system security, usability, and performance.

Were looking for a Microsoft Dynamics 365 CRM Administrator to lead the implementation and evolution of our Microsoft ecosystem, ensuring smooth operations, scalability, and top-tier user experience across departments. In this critical role, youll design and administer our Dynamics 365 CRM and Power Platform systems while supporting high-impact business processes, from partner onboarding to enterprise workflow automation.
Youll work closely with stakeholders across time zones and business lines to translate needs into scalable configurations and sustainable architecture. This role offers a high degree of autonomy and influence within a mission-driven, fast-paced fintech environment
Who You Are:
A solution-oriented professional with strong project ownership skills
Available to work primarily US hours (NY Time Zone)
An excellent communicator, fluent in Hebrew and English, across remote and hybrid environments
Passionate about building scalable systems and streamlining business operations
A self-starter who thrives on structure, clarity, and cross-functional collaboration
Committed to data quality, system integrity, and user success
What Youll Actually Be Doing:
Own and manage the entire Microsoft stack including Dynamics 365 CRM, Power Pages, Power Automate, Power Apps, SharePoint, Teams, and Outlook
Administer, configure, and continuously improve D365 CRM and the Power Platform suite
Lead architecture, governance, and release management for environments, CI/CD, and ALM
Provide technical support and training to users across the company
Maintain environment security, compliance (GDPR, GLBA), and disaster recovery policies
Act as a technical SME and advisor for partner onboarding processes and cross-functional solutions
Champion data accuracy and oversee documentation, data uploads, and reports
Manage solution lifecycle including capacity planning, licensing, provisioning, and telemetry
Evaluate and implement changes via configuration/customization based on evolving business needs.