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We are looking for a Platform Engineering Manager to join the Data Security team. In this role, you will lead the Platform Engineering team, whose mission is to empower engineering teams by delivering reliable, scalable environments, services, and tools that enable efficient development, seamless delivery, and high productivity.

Key Responsibilities:

Lead, mentor, and grow the Platform Engineering team .

Own the CI/CD ecosystem (e.g., GitLab CI, Jenkins, etc) while driving adoption of best practices in build and CI/CD pipelines, testing, supportability, and security for faster and safer deployments.

Manage testing infrastructure and environment provisioning.

Drive automation to reduce manual intervention and operational overhead.

Improve developer productivity by streamlining local dev environments, sandbox infra, and test automation. Release faster and more reliable product.

Ensure ease of supportability, maintainability, and observability of services.

Conduct regular infrastructure reviews, audits, and cost optimizations.

In this role, you will work on our flag front end application (React) and our SDKs we provide to our partners. You will be required to develop products on an enterprise scale. Our challenges demand a strong passion for architecture, outstanding coding skills, and a continuous learning mindset - this is a completely dynamic & interesting opportunity for Frontend / Full stack engineers who like to control both sides of the web!

Key Responsibilities:

Contribute to the development of our core loan application system, ensuring high-quality products and services.
Solve complex architectural problems, utilizing your deep understanding of system architecture.
Collaborate with other team members, sharing your expertise and facilitating a culture of learning.
Maintain our system architecture, ensuring smooth operation and quality user experience.
Be an advocate for clean, efficient, and maintainable code.

seeking a Lead Software Engineer to join our Purchase Squad. This team is at the heart of our company's operations, responsible for developing and maintaining our core loan application system. This role will be involved in complex system architecture, providing unique challenges that demand a strong passion for architecture, outstanding coding skills, and a continuous learning mindset.

Key Responsibilities:

Contribute to the development of our core loan application system, ensuring high-quality products and services.

Solve complex architectural problems, utilizing your deep understanding of system architecture.

Collaborate with other team members, sharing your expertise and facilitating a culture of learning.

Maintain our system architecture, ensuring smooth operation and quality user experience.

Be an advocate for clean, efficient, and maintainable code.

Provide mentorship to junior team members, nurturing their growth and development.

seeking a Lead Software Engineer to join our The Merchant-Ops squad responsible for various domains and products that manage and support our merchants and their ongoing relationship with us. The team develops mobile applications, web platforms, and backend services, and is composed of skilled backend, frontend, and data engineers.

As the Merchant-Ops Lead Software Engineer, you will be responsible for the team's technical leadership, domain design, and day-to-day execution. You will collaborate closely with product managers and business stakeholders to define priorities and deliver impactful solutions that align with key business goals. We are looking for someone who can drive end-to-end ownership, balance business needs with strong engineering practices, and help shape the direction of our products.

Key Responsibilities:

Contribute to the development of our Merchant Ops products, empowering merchants and partners with seamless tools, insights, and a reward system.
Solve complex architectural problems, utilizing your deep understanding of system architecture.
Collaborate with other team members, sharing your expertise and facilitating a culture of learning.
Maintain our system architecture, ensuring smooth operation and quality user experience.
Be an advocate for clean, efficient, and maintainable code.
Provide mentorship to junior team members, nurturing their growth and development.

As part of our Customers Company Data Engineering team, you will not only build scalable data features and pipelines but also directly enable portfolio growth by supporting new business capabilities in the Credit Card and Servicing business units.

Responsibilities

Design and build data solutions that support Credit Card and Servicing business goals.
Develop advanced data pipelines to support the infrastructure, architecture and the product growth initiatives.
Create ETL/ELT processes and SQL queries to bring data to the data warehouse and other data sources.
Own and evolve data lake pipelines, maintenance, schema management, and improvements.
Collaborate with stakeholders across Product, Backend Engineering, and Data Science to align technical work with business outcomes.
Implement new tools and modern development approaches that improve both scalability and business agility.
Ensure adherence to coding best practices and development of reusable code.
Constantly monitor the data platform and make recommendations to enhance architecture, performance, and cost efficiency.

Design, build, and enhance our credit card systems to deliver high-quality products and services.
Solve challenging architectural and technical problems.
Collaborate with and learn from a team of talented engineers.
Ensure system stability and reliability.
Write clean, maintainable, and efficient code.
Lead projects through the full development lifecycle - from requirements gathering to production deployment.

As the Merchant-Ops Squad Lead, you will be responsible for the team's technical leadership, domain design, and day-to-day execution. You will collaborate closely with product managers and business stakeholders to define priorities and deliver impactful solutions that align with key business goals. We are looking for someone who can drive end-to-end ownership, balance business needs with strong engineering practices, and help shape the direction of our products.

Responsibilities:

Among your key responsibilities, you will lead a highly skilled team that architects and builds scalable systems that serve our customers and partners.

Lead the technical architecture and system design for merchant-facing products
Guide a multidisciplinary squad of frontend, backend and data engineers through implementation, delivery, and iteration
Work closely with product managers and business stakeholders to translate requirements into scalable technical solutions
Ensure development aligns with business objectives, long-term system health, and engineering standards
Conduct and lead design reviews, code reviews, and performance optimization efforts
Drive a culture of technical excellence, ownership, and continuous improvement
Oversee system reliability, monitoring, and incident response within your domain

Your role is central to driving quality, scalability, and accountability in processes such as compliance audits, credit bureau furnishing, and legal automation. This is an exciting opportunity to work at the intersection of technology, compliance, and data. You will lead Backend Engineers and Data Engineers to build robust systems that power regulatory functions. You will have the chance to shape the technical strategy and build the team (hiring and mentoring), while remaining hands-on with modern technologies.

Key Responsibilities:

Manage and mentor a dynamic team of 3 engineers (Backend & Data), fostering collaboration and professional growth. You will also be responsible for hiring and onboarding new talent to the team.

Architect scalable, high-performance systems that support compliance-critical operations. You will define the technical roadmap and drive modernization efforts.

Design and oversee both Backend infrastructure and Data Pipelines to ensure accurate, auditable, and scalable compliance processes.

Act as the single point of contact for legal and compliance stakeholders, handling and facilitating all technical aspects of audit requests (SOC, state, and other regulatory audits).

Collaborate with cross-functional teams, including other engineering teams, product managers, legal, and business stakeholders, to align technology and compliance goals.

Remain active in the codebase, ensuring high code quality and leading by example.

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 AI-driven creative workflows, PoCs, and production-ready pipelines (with a strong focus on LTX-2)
Experiment with generative AI to unlock new creative capabilities and solve high-end production challenges
Create workflows and custom LoRAs to showcase capabilities to clients and design partners
Partner with Business Development and major studios, providing technical demos and pipeline integration guidance
Act as a trusted technical advisor for clients and internal teams
Collaborate with Product, Research, Design, and Creative teams to turn innovation into impactful features
Own the ideation and exploration of new creative and AI-driven capabilities, driving initiatives from concept and research to tangible prototypes and production impact

The team focuses on art direction, prompt architecture, and technical experimentation, bridging the gap between creative design and AI tool development inside LTX Studio platform.

Its responsibilities include feature development, testing generative models, building LLM-driven systems for visual generation, and defining visual presets, using the team creative background to bring out-of-the-box thinking and artistic perspective to technical features and innovation.

What you will be doing
Own visual quality and creative evaluation across image or video domains within LTX Studio
Lead AI Evaluation & AI Creation efforts - testing new generative models, benchmarking outputs, identifying strengths and limitations
Build POCs using AI coding tools and vibe coding methodologies
Translate innovation ideas into demos, workflows, and product features (0→1 ownership)
Develop and refine prompt engineering systems, including prompt enhancement logic and structured generation rules
Improve and iterate on existing product features related to visual generation
Collaborate closely with PMs, developers, researchers, and cross-functional teams
Participate in feature ideation and bring creative-first thinking into technical product discussions
Help define visual presets, output standards, and quality benchmarks
Continuously explore emerging tools, models, and techniques in the AI creator ecosystem

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.

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.

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.

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.

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 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 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 the 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