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we are looking for responsible, service-oriented team members to join our Security Team. This is a flexible, part-time role with excellent conditions in a young, innovative, and dynamic work environment, perfect for combining work with studies.
What youll be doing:
Work rotating shifts: 17:00-23:00, 23:00-08:00, including weekends (Friday-Saturday)
Respond to and manage security incidents and emergencies
Conduct routine patrols and security audits across company buildings
Monitor advanced security and surveillance systems
Provide assistance and support to employees and visitors

We are looking for a Creative Marketing & Motion Designer to join the Facetune marketing team. In this role, you'll create high-quality motion videos and jaw-dropping image-making that power Facetune's performance marketing campaigns, reaching millions of users across social platforms worldwide. You'll work on social ads, App Store videos, and concept and storytelling development, crafting sharp, trendy, fresh assets that deliver a true wow effect.
You'll take full creative ownership from concept to execution, a role where your ideas are trusted, your work ships at massive scale, and you'll have the freedom to experiment with new tools and approaches, including AI-powered creative platforms on a regular basis.
What you will be doing:
Design high-quality visual and motion video ads to present Facetune to the world
Create eye-catching, fresh storytelling on a daily basis
Experiment with the latest AI tools on the market to elevate your workflow
Own projects end-to-end, from initial concept through final delivery
Maintain a strong visual identity and high design quality across all assets
Brainstorm ideas and solve creative challenges with product, marketing, and performance teams

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 looking for a Research Scientist .
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.

We're looking for a Senior Talent Acquisition Partner - R&D who's genuinely curious about AI and technology, knows how to earn the trust of technical leaders, navigates ambiguity with confidence, and pushes hiring processes forward.
What you will be doing:
Own the full recruiting lifecycle for global R&D roles across Engineering, Research, Data, and Product teams in Israel, the UK, and the US.
Partner closely with R&D leadership and hiring managers to define hiring strategy, calibrate talent profiles, and advise on market realities.
Lead proactive sourcing strategies to identify and engage exceptional passive talent, with a strong emphasis on the AI/ML, deep learning, and generative AI ecosystem.
Drive structured, fast-moving hiring processes with clear stakeholder communication, sharp prioritization, and zero drop-off in candidate care.
Leverage AI-powered tools to build smarter, more efficient recruiting workflows.
Identify friction points in the hiring process and lead the implementation of solutions - treating recruitment operations with the same rigor you'd expect from an engineering team.
Partner with the HR team to drive initiatives that strengthen manager capabilities, elevate the candidate journey, and contribute to an exceptional employee experience across the organization.