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Were seeking an LLM-Solutions Engineer to join our AI Lab & Internal Tools team. In this role, youll focus on leveraging language models alongside other generative models to create innovative solutions, prototypes, and tools that enhance creativity and productivity across our products. Youll work closely with cross-functional team members to develop workflows, integrate LLMs into projects, and ensure their seamless functionality within the teams experimental projects and tools.
Success in this position will require a strong mix of the following qualities: resourcefulness, independence, self-motivation, technical expertise, creativity, solution orientation, high energy, and passion.
What you will be doing
Design and implement solutions using LLMs, including prompt engineering, fine-tuning, and integration into workflows.
Build and optimize LLM-powered features to enhance creative workflows and automate internal processes.
Collaborate with Creative AI Specialists and the team lead to develop AI prototypes and tools that bring value to users and the team.
Experiment with emerging AI technologies to identify new opportunities and applications.
Translate complex AI capabilities into practical, user-friendly solutions.
Work with dedicated developers to ensure smooth integration and scalability of LLM-based features.

As an ML Engineer, you will play a crucial role in shaping the system design, backend architecture, and overall performance of our companys ML inference systems. We collaborate with cross-functional teams, including designers, developers, and researchers. The role offers the chance to significantly impact our companys core production systems. Youll have the opportunity to develop and optimize critical backend features and work across diverse technical areas, contributing directly to the company's success. This hands-on role involves working extensively with Python, ComfyUI, system optimizations, and cloud infrastructure.
This position is perfect for a skilled backend engineer passionate about driving efficiency and innovation in machine learning.
Responsibilities
Design and optimize backend systems to support efficient ML model inference
Work with cloud infrastructure, networking, and both CPU and GPU architecture
Enhance the efficiency and observability of our inference engine, supporting various high-demand applications
Collaborate closely with engine users, designers, developers, and researchers to refine and improve system capabilities
Contribute to the ComfyUI codebase, ensuring a scalable, user-friendly interface for machine learning operations
Navigating and contributing to a large, complex existing codebase
Addressing complex issues with creativity and efficiency.

our company's products bring together intuitive design, innovative technology, and creativity. We have more than 30M global users who use our tools and services to create, enhance and promote their content and creations. Our Product team focuses on understanding and meeting the needs of our existing and new users, growing our products to continue being the market leader, and reaching company goals for growth and expansion.
The Product Data team at our company is the engine behind our product experience. Through understanding user behavior, we can analyze their content creation journey and leverage this data to continuously enhance our tools and services. The team transforms abstract questions into quantifiable metrics and back into a story to make data driven decisions. Using statistical tools and deep analysis methods we are able to find some treasures and needle-moving insights within our data.
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 transform it into data points and vice versa.
What you will be doing
Provide data-driven recommendations and insights to support strategic decision-making processes and product roadmap prioritization.
Collect, analyze, and interpret large volumes of data generated by the product to identify trends, patterns, and actionable insights that drive decision-making.
Collaborate closely with product managers, engineers, and business stakeholders to understand their needs, align on objectives, and identify opportunities for feature improvements and new feature development based on data analysis.
Design and execute A/B tests to evaluate the impact of proposed changes on key product metrics and user behavior, and effectively communicate the test results to stakeholders.
Collaborate with data engineers to ensure the availability and integrity of data required for analysis, optimize data pipelines and storage, and champion data governance and best practices.
Effectively communicate findings, insights, and recommendations to stakeholders through clear and concise reports, presentations, and visualizations.

We are hiring Software Developers (0-3 years of experience) to join multiple teams across our products, including:
Facetune (Mobile): A leading photo-editing app powered by advanced AI models.
Photo & Video Apps (Mobile): Award-winning editing tools for both professional creators and casual users.
LTX Studio (Web): Our newest AI-powered video creation platform, enabling anyone to turn an idea into a full production.
Popular Pays (Web): A large-scale influencer marketing platform, including AI agents, event-driven architectures, and deep integrations with social media APIs.
As a Software Developer at our company, youll work on cutting-edge AI-driven applications, contributing to high-performance, scalable systems that reach millions of users worldwide. This role offers mentorship, hands-on experience with diverse technologies, and continuous learning opportunities in an innovative, fast-paced, AI-driven environment.
What you will be doing
Develop features and functionalities for mobile or web applications, working on both front-end and back-end components.
Participate in software design discussions to create scalable architectures and intuitive user experiences.
Write clean, maintainable, and testable code, ensuring software quality and reliability.
Optimize performance for real-time AI-driven applications, handling high-resolution images, videos, and complex data processing.
Collaborate with AI researchers to integrate state-of-the-art machine learning models into production-ready applications.
Conduct code reviews and contribute to team discussions on software improvements.

The BI team is at the forefront of innovation, leveraging cutting-edge technologies and integrating AI into our development processes to deliver impactful insights and drive strategic decisions. We are also dedicated to empowering users across the organization with self-service BI solutions, enabling them to explore data independently and make informed decisions. As a BI Developer in our team, you will work with talented professionals who are committed to pushing boundaries and creating solutions that make a difference. Join us and bring your skills and creativity to shape the future of data-driven excellence
What you will be doing
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, and Redash)
Staying Updated with Industry Trends: Keep up with the latest trends and technologies in data solutions, analytics, and business intelligence to ensure that our company stays ahead in leveraging data for business decisions.

Our ML Platform team is responsible for building our companys ML serving platform, which hosts all of the companys ML models. Our goal is to create streamlined processes to bring functional research code and AI models to production grade systems, where millions of our apps users enjoy this magic.
What you will be doing
Take a key part in designing, building and maintaining our ML serving platform and making sure it is scalable and reliable. Our goal is to provide researchers and other developers in the company an easy way to deploy, monitor and maintain their services. Design, build and maintain cloud infrastructure to provide a reliable and scalable platform for other teams to build on. Ensure high availability and performance of our production environment. Implement and manage CI/CD pipelines to ensure seamless testing, deployment, and monitoring of services running on our platform. Develop and maintain monitoring and alerting systems to ensure the early detection of issues, enabling proactive problem resolution. Practice sustainable incident response and blameless postmortems. Learn and apply industry best practices and share this knowledge with other teams through guidance, lectures and workshops. Develop tools and self-serve solutions to simplify the development and deployment processes for other teams at the company. Continuously evolve and learn new technologies that can improve our teams workflow, accelerate the development process and make it more reliable.

The Data Platform team directly supports our company's data-driven approach by providing our data users with relevant platforms to make good use of our data.
We provide data systems all across the data stack, from self service analytics & media ingestion to real-time event processing and even a/b tests and more, all while maintaining user privacy combined with cost-efficient solutions.
What you will be doing
Work together with the different data producers and data consumers within the company and the data organization in order to understand their needs and work processes regarding their data and API needs and limitations.
Develop a deep understanding of the companys vision and strategic planning and make sure our data infrastructure is built to support the same ideas.
Identify bottlenecks in internal data processes and work to resolve them by planning and delivering technological solutions such as automating processes, optimizing data delivery and storage, re-designing infrastructure for greater scalability, integrating external tools, etc.
Integrate new tools and solutions that can empower the companys data consumers and help assimilate them.
Lead a team of senior data engineers in providing a set of technological solutions that best fit business needs.
Have full responsibility for data compliance in the organization and lead the design and implementation of data compliance and privacy processes.

We are seeking an experienced Data Engineer to join our Data Platform Engineering group at our company. This group is responsible for providing the technological solutions that best fit the business needs of various stakeholders, including product teams, BI analysts, marketing analysts, finance, data scientists, backend teams, and more.
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.

Within the Facetune mobile app group, our development encompasses a diverse tech stack and robust professional collaborations, presenting our developers with varied challenges. This ensures continuous opportunities for deepening expertise and dynamic personal growth. Our hands-on activities include:
Work on apps code, including UI development and infrastructure in native languages (Swift for iOS or Kotlin for Android), with some Python for tooling.
Participate in software design sessions to optimally create rich user features, polished UX, and scalable architectures with complex business logic.
Develop on-device image processing and rendering by writing GPU shaders using technologies like Metal (iOS) or OpenGL ES (Android), ensuring fast responses to user input for optimal interaction.
Collaborate with our research team to integrate cloud-based image processing for computationally intensive algorithms, leveraging cutting-edge AI models (e.g., diffusion neural networks and LLMs), and combine these with local on-device processing to deliver an optimal user experience.
Optimize time and memory consumption to improve app performance on mobile devices, enhancing the capability to handle high-res images and videos.
As a developer in our group working on companys top-performing app, Facetune, you will have a direct impact on millions of monthly users around the world.
What you will be doing
First step:
Go through an internal bootcamp with a personal mentor to learn the basics required to start working on the apps codebase, followed by continuous learning alongside real work.
Ongoing:
Significantly contribute to the everything related to Facetune editors features development: work with product manager to shape the functionality and user facing design.
Write clean, maintainable, and testable code; identify and implement software engineering best practices; participate in architectural decisions.
Conduct code reviews.
Eventually also mentor junior developers.

You will be part of the Popular Pays team, where we're revolutionizing how brands connect with creators and influencers through our innovative all-in-one platform. Our team is building technology that transforms traditional influencer marketing into a seamless, data-driven experience, enhanced by cutting-edge generative AI capabilities. Each team member plays a crucial role in shaping our product, from crafting intuitive user interfaces to developing robust backend systems that power thousands of successful brand-creator collaborations. We are driven by efficiency and innovation, constantly pushing the boundaries of what's possible in content creation and campaign management by integrating AI-powered tools that streamline workflows and enhance creative output. We practice modern development methodologies and are passionate about creating elegant, scalable solutions that make complex processes feel effortless. Most importantly, we're a team of dedicated professionals who take pride in building technology that empowers both brands and creators to achieve extraordinary results through the perfect blend of human creativity and artificial intelligence.
What you will be doing
Owning end-to-end feature development - from designing scalable backend services to crafting intuitive UI components.
Brainstorming feature design, system architecture improvements and troubleshooting.
Building and integrating cutting-edge generative AI capabilities into our products through APIs and custom implementations.
Writing clean, maintainable and testable code, and inspiring others to do the same.
Mentoring junior developers through code reviews, pair programming, and technical guidance.

We are hiring a product manager to own the development of unique key revenue generating web products that are supporting the growth of the company. We are looking for someone who understands user funnels and acts on data and research to bring innovations into the product roadmap.
What you will be doing
Develop, implement and prioritize a robust product roadmap, identifying key milestones, and ensuring efficient delivery.
Bring breakthrough ideas and innovations to improve and rethink payment funnels.
Collaborate with all other product teams at our company to identify business opportunities with our mobile apps and web products.
Identify, define, launch, and assess performance of your products. Iterate to ensure your products meet the needs of our users.
Work with and manage the pipeline of a dedicated development and design team.

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 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 ML Platform team is responsible for building our companys ML serving platform, which hosts all of the companys ML and Gen AI models. Our goal is to create streamlined processes to bring functional research code and AI models to production grade systems, where millions of our apps users enjoy this magic.
Your day-to-day job will involve
Take a key role in designing and building our ML platform, working closely with our devops engineers, researchers and product engineering teams.
Design and develop reliable and scalable production core services that are used by millions of users of our apps every day.
Brainstorming feature design, system architecture improvements and troubleshooting.
Work with cross-functional teams across our company to understand their needs and translate them into platform capabilities.
Learn and apply industry best practices and share this knowledge with other teams through guidance, lectures and workshops.
Write clean, maintainable and testable code, and inspire others to do the same

We are seeking a Senior Researcher to join our LTX Render Lab team at our company. This team is responsible for developing cutting-edge 3D technology to power state of the art video generation, enabling immersive and dynamic content creation. As a key member of the team, you will lead research efforts in 3D reconstruction, dynamic scene interaction, and multi-view video consistency, driving the transition from early prototypes to scalable, production-ready solutions.
What you will be doing
Conduct applied research in 3D reconstruction, scene creation, and animation.
Develop algorithms for placing characters and objects dynamically within 3D spaces.
Explore multi-view video consistency and advanced camera control for scene animation.
Optimize research code for scalability and real-time performance.
Collaborate with engineers, designers, and product managers to integrate 3D capabilities into user-facing features.
Stay up to date with cutting-edge academic research and apply relevant innovations to production.
Write high-quality code, ensuring research solutions are optimized for real-world applications.
Mentor junior researchers and contribute to knowledge-sharing initiatives within the team.