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we are looking for a Software Engineering team lead! We are looking for a Software Engineering team lead to join the team. Job Description:
* Managing a FullStack & Microservices software development team
* Leading end-to-end tasks in coordination with all interfaces
* Prioritizing tasks
* Performing code reviews

Who 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. segmentation and optimization tools.

The Role:
As a Data Scientist you’ll play an essential role in driving data-informed decisions that strengthen our AML/CFT compliance and empower business leaders with actionable insights. By transforming complex data into clear, compelling analysis, this role enables quick understanding of results and supports strategic recommendations that directly influence compliance outcomes and operational success. You’ll collaborate with cross-functional partners to deliver a comprehensive view of risk, monitor the impact of implemented strategies, and make critical adjustments as needed. From designing and refining transaction monitoring scenarios to producing high-quality dashboards and reports, your work will guide ongoing optimization efforts.

Who You Are:

* Curious and analytical – You love digging into data, asking the right questions, and uncovering insights that others might miss.
* Clear communicator – You can explain complex findings in a way that’s easy to understand, whether it’s to compliance officers or business partners.
* Collaborative mindset – You enjoy working across teams and believe that the best solutions come from bringing different perspectives together.
* Mission-driven and detail-oriented – You care deeply about making a real-world impact and bringing focus and precision to everything you do.

What You’ll Actually Be Doing:

* Present data and analysis in a clear and concise manner allowing the audience to quickly understand the results and recommendations so they can make informed data-driven decisions.
* Collaborate with various partners to provide a holistic view of the analysis. Measure and monitor results of applied recommendations and present adjustments.
* Develop scenarios involving tuning, calibration, segmentation, and optimization.
* Provide routine and ad hoc reporting tied to AML/CFT compliance.
* Develop insightful and compelling summary reporting and dashboards for management and business line partners.
* Support the development of policies and procedures for AML transaction monitoring life cycle, including reviews of scenario validation, segmentation and optimization tools.

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 insurance
* Volunteer days, donation matching, Yoga and Pilates
* A supportive, collaborative culture that puts our people first

Next Step:
Hit apply. You bring the talent; we’ll bring the challenge (and the snacks!)

The Ecosystems Engineering group is seeking a Senior Quality Engineer to join our growing team.
In this role, you will work on Edge Manager project, built on RHEL, OpenShift platform technology, Ansible and the Kubernetes cluster management system. You'll be responsible for all aspects of quality for Edge Manager, including designing test plans, extending automation coverage and frameworks, and developing new automated tests and infrastructure. You will make sure our testing standards fulfill the highest possible enterprise quality. As a Senior Quality Engineer, you will gain a deep technical understanding of a variety of popular technologies, including RHEL, containers, Kubernetes, OpenShift, Ansible, focused on deep integration of AI stack and tools
You will also be working closely with the product management, other engineering groups within, and with partners and potential customers.

What you will do:
Work in a fast-paced Agile global environment of talented Engineers
Execute manual and automated tests and deliver clear status in a timely manner.
Conduct failure analysis, explore, identify and document new bugs, advocate for the resolution of bugs and communicate the impact on customers to developers and support;
Coordinate cross components teams to be responsible for bug verification, regression testing.
Work with the product release related teams to be responsible for the product delivery related testing;
Design, develop and maintain automation frameworks, CI and scripts with Python or Golang for RHEM testing and implementation
Work closely with team members, bring new ideas to the table and create close collaborations across the organization
Write high-quality, maintainable, and efficient code on open source repositories
Participate in code reviews and provide technical mentorship to junior engineers
Stay up-to-date on the latest advancements in AI frameworks and new technologies

A Manager to lead our newly-formed AI Workflow Validation & Testing function within the AI Platform Core Components (AIPCC) team. This team will safeguard the reliability of real-world customer workflows by using AI to replicate and test actual end-user deployment scenarios at scale.

Our mission is simple but critical: make sure nothing breaks what customers actually do. As the team manager, youll build and guide a cross-functional group of engineers who use AI tools and human insight to run automated regression tests, simulate key workflows, and flag breakages before customers ever see them. Youll help set the standard for AI-enhanced product validation, ensuring that rapid development never compromises real-world reliability.

What You Will Do:
Lead and grow a cross-functional testing team focused on end-to-end workflow validation, not exploratory usability testing
Develop a regression-first test strategy rooted in replicating key customer workflows across platforms
Build scalable systems that simulate user behavior and validate product stability after each release
Leverage AI tooling (e.g., Testim, Diffblue, GPT, Lookback) to automate test execution, data synthesis, and failure detection
Collaborate with Engineering and Product to rapidly triage regressions and workflow breakages into actionable fixes
Design and evolve AI Lightspeed as an internal workflow automation system, with potential for future productization
Establish clear metrics for product reliability rooted in task success and regression coveragenot user perception
Represent the teams work in roadmap and release planning conversations, ensuring product confidence at every milestone

our company, an AI-first company, is revolutionizing how visual content is created. With a mission to bridge the gap between imagination and creation, we are dedicated to bringing cutting-edge technology to the creative and business spaces.
Our advanced AI photo and video generation models, including our open-source LTXV model, power our apps and platforms including Facetune, Photoleap, Videoleap, and LTX Studio, allowing creators and brands to leverage the latest research breakthroughs, offering endless control over their creative potential. Our influencer marketing platform, Popular Pays, provides creators the ability to monetize their work and offers brands opportunities to scale their content through tailored creator partnerships.
The Data Platform team powers our company's data-driven innovation by building cutting-edge systems that transform raw information into actionable insights. We create sophisticated solutions across the entire data stack, from intuitive self-service analytics and seamless media ingestion to lightning-fast event processing and sophisticated A/B testing frameworks. Our team operates at the intersection of big data and user experience, designing robust platforms that balance privacy protection with cost efficiency. Join us and help architect the infrastructure that fuels data-informed decisions and directly impacts product success.
What you will be doing
Build, lead, and mentor a team of backend engineers, fostering professional growth and collaboration while putting a strong emphasis on engineering excellence.
Evolve our architecture and infrastructure to support the growing scale of users, features, and data.
Build strategic relationships with key stakeholders across the company, and develop a deep understanding of the business vision to ensure the data platform continues to meet evolving needs while maintaining technical excellence.
Define and monitor metrics and KPIs to measure the health, performance, and impact of our data systems, continuously optimizing for scalability, reliability, and efficiency.
Have full responsibility for data compliance in the organization and lead the design and implementation of data compliance and privacy processes.

Our ideal candidate is someone with a systematic problem-solving approach, coupled with strong communication skills, a sense of ownership and drive. Someone who is as passionate as we are about the craft of software engineering and system architecture, and understands the challenges of building complex backend systems. Someone who believes in writing resilient code and reliable infrastructure, but can still appreciate the realities of business and can deliver on a tight schedule in a fast-paced environment. An individual who loves learning, understands the value of teamwork and cherishes the feedback of other talented engineers.
What you will be doing
Lead a team of 68 engineers, providing mentorship, guidance, and support in their professional development and daily work.
Take ownership of the teams delivery and execution, from planning and prioritization to quality and production stability.
Remain hands-on and contribute to the codebase when needed, especially in complex or high-impact areas.
Design highly available, mission-critical microservices and APIs.
Architect and implement scalable data pipelines that integrate with multiple internal and external data sources.
Drive the development of internal tools, campaign automation systems, dashboards, and reports to empower end users.
Promote and implement engineering best practices for code quality, testing, observability, and deployment.
Collaborate closely with relevant stakeholders to shape solutions from idea to delivery.

The Cellular group is looking for an extraordinary Systems and Algorithms engineer with extensive experience in signal processing and AI/ML development to develop and drive pioneering technologies for products. As part of the team, you will work on the recent cellular technologies, LTE, 5G, and 6G, to develop solutions on the cellular Modem, focusing on AI/ML-based solutions. You will have the chance to be part of an exciting development process that brings new solutions to life in ground breaking areas of cellular chip development, which is a key part of products.

Imagine what you could do here. new insights have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job, and the sky is the limit. We are the home for dynamic, inquisitive, and inspiring people and innovative technologies.
Description
Leading role in developing systems and algorithms for Cellular modems:
Advanced modulation and demodulation techniques, channel estimation and tracking, radio impairments compensation, and more
Multidisciplinary problem-solving, development of classical and data-driven algorithms with end-to-end simulation
Present your work effectively to engineering and executive management

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.

our company , an AI-first company, is revolutionizing how visual content is created. With a mission to bridge the gap between imagination and creation, we are dedicated to bringing cutting-edge technology to the creative and business spaces.
Our advanced AI photo and video generation models, including our open-source LTXV model, power our apps and platforms including Facetune, Photoleap, Videoleap, and LTX Studio, allowing creators and brands to leverage the latest research breakthroughs, offering endless control over their creative potential. Our influencer marketing platform, Popular Pays, provides creators the ability to monetize their work and offers brands opportunities to scale their content through tailored creator partnerships.
What you will be doing
Conducting applied research, keeping in mind the constraints and requirements of real world solutions
Mentoring other researchers in your team and leading projects with multiple participants.
Working with engineers, designers and product managers to aim your research to the right place.
Keeping up with new research developments in academia and exposing them to all team members.
Writing high-quality code (aiming at production-grade) and maintaining efficient workflows in your research process, using best practices and tools.

our company, an AI-first company, is revolutionizing how visual content is created. With a mission to bridge the gap between imagination and creation, we are dedicated to bringing cutting-edge technology to the creative and business spaces.
Our AI photo and video generation models, which power our apps and platforms including Facetune, Photoleap, Videoleap, and LTX Studio, allow creators and brands to leverage the latest research breakthroughs, offering endless control over their creative potential. Our influencer marketing platform, Popular Pays, provides creators the ability to monetize their work and offers brands opportunities to scale their content through tailored creator partnerships.
What you will be doing
Conducting applied research, keeping in mind the constraints and requirements of real world solutions
Mentoring other researchers in your team and leading projects with multiple participants.
Working with engineers, designers and product managers to aim your research to the right place.
Keeping up with new research developments in academia and exposing them to all team members.
Writing high-quality code (aiming at production-grade) and maintaining efficient workflows in your research process, using best practices and tools.

our company, an AI-first company, is revolutionizing how visual content is created. With a mission to bridge the gap between imagination and creation, we are dedicated to bringing cutting-edge technology to the creative and business spaces.
Our advanced AI photo and video generation models, including our open-source LTXV model, power our apps and platforms, including Facetune, Photoleap, Videoleap, and LTX Studio, allowing creators and brands to leverage the latest research breakthroughs, offering endless control over their creative potential. Our influencer marketing platform, Popular Pays, provides creators the ability to monetize their work and offers brands opportunities to scale their content through tailored creator partnerships.
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 companys 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 company's 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 stackfrom 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.

our company, an AI-first company, is revolutionizing how visual content is created. With a mission to bridge the gap between imagination and creation, we are dedicated to bringing cutting-edge technology to the creative and business spaces.
Our advanced AI photo and video generation models, including our open-source LTXV model, power our apps and platforms, including Facetune, Photoleap, Videoleap, and LTX Studio, allowing creators and brands to leverage the latest research breakthroughs, offering endless control over their creative potential. Our influencer marketing platform, Popular Pays, provides creators the ability to monetize their work and offers brands opportunities to scale their content through tailored creator partnerships.
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 companys 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 company's 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 stackfrom 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.

our company, an AI-first company, is revolutionizing how visual content is created. With a mission to bridge the gap between imagination and creation, we are dedicated to bringing cutting-edge technology to the creative and business spaces.
Our advanced AI photo and video generation models, including our open-source LTXV model, power our apps and platforms including Facetune, Photoleap, Videoleap, and LTX Studio, allowing creators and brands to leverage the latest research breakthroughs, offering endless control over their creative potential. Our influencer marketing platform, Popular Pays, provides creators the ability to monetize their work and offers brands opportunities to scale their content through tailored creator partnerships.
The Data Platform team powers our company's data-driven innovation by building cutting-edge systems that transform raw information into actionable insights. We create sophisticated solutions across the entire data stack, from intuitive self-service analytics and seamless media ingestion to lightning-fast event processing and sophisticated A/B testing frameworks. Our team operates at the intersection of big data and user experience, designing robust platforms that balance privacy protection with cost efficiency. Join us and help architect the infrastructure that fuels data-informed decisions and directly impacts product success.
What you will be doing
Build and own the infrastructure and services required for processing and storing data from a wide variety of sources, including mobile apps and internal/external data producers.
Design and build processes to integrate a wide range of edge systems across multiple cloud providers and handheld platforms reliably.
Assist data consumers across our company in defining requirements and refining existing processes using a wide variety of tools.
Define and own the systems and processes that deliver data to the data warehouse, while maintaining these systems and the warehouse itself.
Identify bottlenecks in internal data processes and resolve them by automating workflows, optimizing data delivery and storage, and redesigning infrastructure for greater scalability.
Integrate new tools and solutions to empower the companys data consumers and help assimilate them effectively.