דרושים » תוכנה » QSG Analyst

The Core Generative AI team at our company 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 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 deeply understanding supercomputer performance. 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/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.

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.

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.

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.

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