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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.

Lead the tech behind one of Israels fastest-growing companies. At Kendago, highly stable and profitable company, were not just running ads - were building a game-changing tech product that gives our marketing teams a serious edge. Its a smart, insight-driven optimization platform that analyses tons of ads data and turns it into Real-Time recommendations and insights for publishers. Were looking for a passionate and proactive Software team leader to head a backend -focused R&D team, responsible for designing and building scalable core systems, while remaining hands-on and close to the code. Youll be at the center of our most strategic tech and business initiatives, driving innovation and delivering high-impact solutions. This is a hybrid position, including two to three work-from-home days per week with flexibility based on team and individual needs. Our Office is located in Kiryat Ono.
Responsibilities:
* Lead a Full-Stack team working on our proprietary optimization platform Architect and build high-scale, data -centric web systems
* Be a hands-on leader: code when needed, unblock, mentor, and push forward
* Collaborate with product managers who work hand-in-hand with our performance teams.
* Balance rapid delivery with long-term architecture and stability
Biz Dev:
R&D
Remote/Part time:
Hybrid

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.

Required Team Lead
About the Team:
You will be leading the Compliance Engineering Squad, the technological "Guardians" of the company. We dont just write code; we build the safety net that allows our business to run fast and launch new products safely. In a high-growth Fintech environment, our team ensures that every loan, transaction, and interaction meets the strictest regulatory standards - automatically and seamlessly. We operate as a hybrid squad, blending robust Backend engineering with advanced Data Engineering. As the Team Lead, you will guide this multidisciplinary group in solving complex business challenges.
We treat compliance as a first-class engineering product. Our stack is modern, diverse, and built for scale:
Core: Kotlin, Python, and Java atop a Modulith architecture.
Data & Scale: Snowflake, Airflow, Spark, and DBT for high-volume data processing.
Infrastructure: Event-driven architecture (Kafka), AWS, and K8s.
Frontend: Internal tools built with React (Micro-frontends).
What Youll Do:
As the Team Lead, you will manage a high-impact squad dedicated to ensuring our compliance with critical processes and data integrity. Your role is central to driving quality, scalability, and accountability in processes such as compliance audits, credit bureau furnishing, and legal automation. This is an exciting opportunity to work at the intersection of technology, compliance, and data. You will lead Backend Engineers and Data Engineers to build robust systems that power our regulatory functions. You will have the chance to shape the technical strategy and build the team (hiring and mentoring), while remaining hands-on with modern technologies.
Key Responsibilities:
Manage and mentor a dynamic team of 3 engineers (Backend & Data), fostering collaboration and professional growth. You will also be responsible for hiring and onboarding new talent to the team.
Architect scalable, high-performance systems that support compliance-critical operations. You will define the technical roadmap and drive modernization efforts.
Design and oversee both Backend infrastructure and Data Pipelines to ensure accurate, auditable, and scalable compliance processes.
Act as the single point of contact for legal and compliance stakeholders, handling and facilitating all technical aspects of audit requests (SOC, state, and other regulatory audits).
Collaborate with cross-functional teams, including other engineering teams, product managers, legal, and business stakeholders, to align technology and compliance goals.
Remain active in the codebase, ensuring high code quality and leading by example.

our company, a Developer of AI-based autonomous driving solutions, is looking for an R&D Project Manager. The R&D Project Manager will be required to ensure delivery on time, on budget, and on quality. The person chosen for the role will work closely with the Companys various R&D teams to ensure that all project requirements, deadlines, and schedules are being met. Tasks include preparing SOWs, establishing effective project communication and reporting plans, executing them, submitting project deliverables, and preparing periodic status reports. Responsibilities:
* Determine and define project scope and objectives
* Prepare Statements of Work
* Coordinate with cross-discipline team members to make sure that all parties are on track with project requirements, schedules, and deadlines
* Maintain continuous communication with internal and external stakeholders
* Meet with projects team members to identify and resolve risks
* Lead projects from requirements definition through deployment, identifying schedules, scopes, budget estimations, and project implementation plans, including risk mitigation
* Submit project deliverables to customers after ensuring that they adhere to quality standards
* Prepare status reports by gathering, analyzing, and summarizing relevant information
* Manage Change Requests to ensure that all parties are informed of the impacts on schedule and budget
* Coordinate the preparation of user manuals, training materials, and other documents as needed to enable successful implementation
* Conduct post-project evaluation and identify successful and unsuccessful project elements

Required Team Lead
What Youll Do:
The Merchant-Ops squad is responsible for various domains and products that manage and support our merchants and their ongoing relationship with us. The team develops mobile applications, web platforms, and backend services, and is comprised of skilled backend, frontend, and data engineers.
As the Merchant-Ops Squad Lead, you will be responsible for the team's technical leadership, domain design, and day-to-day execution. You will collaborate closely with product managers and business stakeholders to define priorities and deliver impactful solutions that align with key business goals. We are looking for someone who can drive end-to-end ownership, balance business needs with strong engineering practices, and help shape the direction of our products.
Responsibilities:
Among your key responsibilities, you will lead a highly skilled team that architects and builds scalable systems that serve our customers and partners.
Lead the technical architecture and system design for merchant-facing products
Guide a multidisciplinary squad of frontend, backend and data engineers through implementation, delivery, and iteration
Work closely with product managers and business stakeholders to translate requirements into scalable technical solutions
Ensure development aligns with business objectives, long-term system health, and our engineering standards
Conduct and lead design reviews, code reviews, and performance optimization efforts
Drive a culture of technical excellence, ownership, and continuous improvement
Oversee system reliability, monitoring, and incident response within your domain.