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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 Assistant Controller - Maternity Leave Replacement
An AI-first company creating next-generation content creation technology for businesses, enterprises, and studios with a mission to bridge the gap between imagination and creation. At our core is LTX-2, an open-source generative video model, built to deliver expressive, high-fidelity video at unmatched speed. It powers both our own products and a growing ecosystem of partners through API integration.
The company is also known globally for pioneering consumer creativity through products like Facetune, one of the worlds most recognized creative brands, which helped introduce AI-powered visual expression to hundreds of millions of users worldwide. We combine deep research, user-first design, and end-to-end execution from concept to final render, to bring the future of expression to all.
To help the company grow and thrive, we pride ourselves in our powerhouse Finance team, who lead every facet of our financial operations and provide ongoing response and service to our employees. We are hiring an Assistant Controller to join our team and oversee our daily accounting operations. We are seeking a highly skilled and detail-oriented individual to oversee financial transactions, reporting, and coordinate with our internal bookkeeping team as well as our external auditors. This role requires a proactive and hands-on approach, ensuring compliance with accounting principles, statutory requirements and internal controls.
This role is offered on a temporary basis, with the possibility of becoming permanent subject to business needs.
What you will be doing
Monitor and control financial transactions and financial reporting
Monthly and quarterly closing processes
Preparation of quarterly and annual consolidated financial statements
Liaise with external auditors during financial and operational audits and reviews.

Required Web Design Team Lead
What Youll Be Doing
You will lead the web design efforts for LTX, our complete B2B ecosystem. In this role, you will shape how our professional video platform and AI models are presented to the world. You will serve as the strategic design voice connecting creative vision with business goals, ensuring our enterprise presence reflects the power and sophistication of the technology behind it.
Your responsibilities will include:
Managing and mentoring a team of web designers working on the LTX B2B ecosystem, supporting their professional growth and overseeing day-to-day creative output.
Owning the art direction for our enterprise web presence, ensuring a refined, consistent, and high-end look across platforms and models.
Acting as the primary bridge between Design and cross-functional stakeholders, driving alignment and clear communication around goals and priorities.
Driving data-informed design decisions by leveraging analytics, A/B testing, and performance insights to optimize user journeys and support SEO goals.
Implementing AI-driven workflows and helping the team adopt generative tools to enhance creativity, efficiency, and scale.
Collaborating closely with developers on our Webflow infrastructure to ensure designs are feasible and executed to a high standard.

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.

We are looking for an FP&A who can think big and move fast, partnering with the business to analyze key financial and operational drivers and support growth-focused decision-making. This role is highly cross-functional, owning core financial models, planning processes, and working closely with leaders across the company to turn strategy into execution.
What you will be doing
Manage financial forecasts and analyses across key business drivers, including revenue, growth metrics, capacity, and company expenses.
Build and manage the budget transparently, working closely with global teams to enable execution and goal achievement.
Own analyses and planning processes end-to-end, from problem definition through execution and follow-up.
Support pricing, business plans, and investment decisions through financial modeling and scenario analysis.
Operate effectively in a fast-changing environment, adapting models, assumptions, and priorities as the business evolves.
Work on ad hoc projects and strategic initiatives for senior management, assessing business challenges and proposing data-driven solutions.

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.

Were looking for a Creative AI Solutions Specialist to join our AI Lab - a cross-functional group driving innovation, experimentation, and advanced AI capabilities across.
This role sits at the intersection of creative technology, product, and applied AI. Youll work on cutting-edge LTX-2 workflows, prototype new capabilities, help bring AI solutions to market, and act as a domain expert supporting teams across the company - from Product and Design to Sales and Business Development.
Success in this role requires strong ownership, curiosity, technical depth, and a passion for pushing creative AI forward.
What you will be doing
Build innovative AI-powered prototypes and POCs, with a strong focus on advanced LTX-2 workflows and new creative capabilities
Develop and refine production-ready AI creative pipelines to ensure quality, scalability, and market-readiness
Experiment with emerging AI technologies to push visual quality and unlock new product opportunities
Act as a domain expert and advisor in generative AI, animation, 3D, and creative computing across the company
Partner with Product, Research, Design, and Creative teams to turn innovation into impactful features
Support Sales and Business Development by deep-diving into client needs and demonstrating the value of our AI solutions
Enable teams through training and hands-on guidance on new AI tools, workflows, and capabilities
Own the ideation and exploration of new creative and AI-driven capabilities, driving initiatives from concept and research to tangible prototypes and production impact.