דרושים » הנדסה » דרוש /ה מוביל /ת תחום AI לארגון חדשני

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 Creative-AI squad is half traditional post-production excellence, half zero-code tool builders. We need someone who can craft gorgeous GenAI images & videos, wire up no-code automations, and guide projects from whiteboard to launch.
As a Creative AI Specialist, you will be the driving force behind our AI initiatives, leading our internal marketing-creative team in leveraging AI for project enhancement and workflow optimization. Your expertise will also contribute to the AI education of our team, ensuring they remain at the forefront of AI advancements in the creative industry.
What you will be doing
Own ComfyUI pipelinesbuild image & video workflows in ComfyUI with Stable Diffusion, Flux; fine-tune and train LoRAs.
Provide internal automation solutions and creative platforms using zero-code tools and AI IDEs (Cursor, v0.dev, Base44, etc.), connect API endpoints (OpenAI, Gemini, Claude, fal.ai, Replicate)
Lead end-to-end project management and collaborate with Marketing & Salesgather requirements, align stakeholders, track progress, run feedback loops, and ensure deliverables meet business KPIs.
Research & QA internal GenAI modelsevaluate and troubleshoot models like LTX Video, raising quality bars for brand safety and polish.
Collaborate with Marketing to create AI-generated videos, visuals, and walkthroughs tailored for platforms like Reddit and Discord, supporting education, engagement, and product awareness.

Were looking for a talented Senior Data Scientist to join our Business Data Science team! As a data scientist, you will work with our marketing and finance leadership, to predict our growth, identify trends, and help us optimize the impact of our marketing budget spend, both in the B2B and B2C areas. This is an exciting opportunity to make an impact!
We are looking for someone who is not afraid of diving into new areas and challenges, thinks outside the box, and knows how to take a business challenge and turn it into a machine learning challenge, and vice versa. As communication and collaboration with different teams and stakeholders is a part of our day to day, we are looking for a team player.
What you will be doing
Lead end-to-end DS projects - from identifying business needs with stakeholders, to research, evaluation, production implementation, and monitoring.
Collaborate with diverse teams - marketing, finance, BI, ML Infra. effectively communicating insights and understanding various business aspects.
Address diverse problems across domains
Tackle challenges related to data, model assumptions, business needs limitations, and production.