Adobe

This role is for a Senior Machine Learning Architect focused on building and shipping AI-powered user experiences within Adobe Experience Cloud. The architect will design and evolve ML systems that blend GenAI and classical ML techniques, focusing on user-centric data, inference pipelines, and evaluation through user behavior. Responsibilities include end-to-end ownership from data to production, defining evaluation frameworks, and driving system reliability and scalability.

Senior AI Systems Engineer focused on designing, building, and operationalizing agent-based systems and AI infrastructure to improve developer productivity and engineering workflows within Adobe's Creative Cloud. The role involves developing multi-agent orchestration, building reusable infrastructure, implementing evaluation and observability pipelines, and hardening experimental workflows into production-grade services.

Senior Director of Product Management to lead the Developer Platform and AI Platform organization at Adobe. This role focuses on architecting internal and external platforms that power AI capabilities, encompassing developer experience, AI coding tools, API design, workload hosting, and the plugin ecosystem. The position requires shipping AI-powered platforms at scale, thinking in systems, and driving the strategy, roadmap, and execution of these foundational AI systems.

Senior AI Engineering Manager at Adobe, leading a team of Forward Deployed AI Engineers and Creative Pipeline Specialists to build GenAI-powered content production systems for large brands. The role is player-coach, requiring hands-on coding (min 30% time), architecture decisions, and unblocking the team. Responsibilities include owning delivery outcomes, growing the team, setting technical direction, driving product feedback, scaling the organization through reusable capabilities, and representing the org externally. Requires 3+ years of management experience, hands-on GenAI experience (LLM integrations, RAG, agent frameworks), and experience in creative content supply chains. The role focuses on building and deploying AI systems that transform content production workflows.

Senior Machine Learning Engineer at Adobe Journey Optimizer B2B, focusing on AI-powered customer journey orchestration. The role involves training and fine-tuning ML models, architecting ML pipelines, and contributing to the deployment and production operations of ML models and systems. Experience with generative AI, LLMs, fine-tuning, and MLOps is required, with a preference for RAG, agentic workflows, and personalization use cases.

Sr. Applied Scientist at Adobe focused on improving the quality and controllability of generative multimodal models, specifically in mid-training capabilities for image and video editing. The role involves designing and implementing training pipelines, identifying quality gaps, developing data curation and distributed training workflows, and optimizing inference for production environments.

Lead the development of next-generation generative AI capabilities for Adobe Creative Cloud, focusing on graphics and vector-based design workflows. This role involves transforming research into scalable, production-ready solutions, driving initiatives from exploration to productization, and impacting millions of creative users.

Director of Product Management to own and lead GenAI Imaging Models roadmap, working with Research, Applied Science, and App teams. Requires strong understanding of generative AI technologies, creator workflows, and experience building GenAI products for creatives. Also requires people management experience.

Director of Product Management to own and lead the GenAI Video Models roadmap, working with Research, Applied Science, and App teams. Requires a strong understanding of generative AI technologies and creator workflows, with experience in building generative AI products for creatives and managing people.

Sr. Manager for Generative AI Data Research at Adobe, leading a team to build multimodal datasets for foundation model training. Focuses on data acquisition, filtering, curation, and pipeline development, with a strong emphasis on system design and applied ML workflows.

Research Scientist role focused on large-scale pre-training and mid-training of multi-modality generative AI models for image and video synthesis, with an emphasis on improving instruction compliance, controllability, and visual clarity. The role involves conducting innovative research, developing sophisticated techniques, collaborating cross-functionally, and translating research into production-ready implementations for Adobe's creative products.

Senior engineer to design and build next-generation AI systems for Adobe Express, focusing on scalable, production-grade AI platforms with agentic experiences. This role involves architecting end-to-end systems for model orchestration, tool integration, memory, inference, data flows, and evaluation.

Senior ML/AI Engineering Manager to lead the Experience ML/AI squad within GenAI Experiences. The role owns the ML strategy for AI Assistant, moving it towards real-time contextual intelligence, predictive workflow understanding, and natural-language UI control across Experience Cloud. Requires setting strategy, operationalizing ML execution, and scaling impact. Focuses on user outcomes and building proactive, grounded intelligence using UI context and user behavior signals.

The ML Services Software Development Engineer will architect and implement performant, robust, and scalable GenAI services supporting deep learning models in large-scale, distributed environments. This role leads inference platform projects, collaborates with ML researchers to optimize GPU utilization, and monitors ML platform performance.

Senior AI Engineer at Adobe responsible for building and deploying end-to-end AI products, including GenAI applications, LLM-powered agents, and RAG systems. The role involves full lifecycle ownership from ideation with stakeholders to deployment and impact measurement, leveraging AI-assisted coding tools for rapid development on cloud infrastructure.

Senior Manager, Forward Deployed AI Engineer at Adobe, leading a team to build GenAI-powered content production systems for large brands. The role requires a player-coach with a strong technical background, hands-on experience in deploying AI systems (LLM integrations, RAG, agent frameworks), and experience in creative content supply chains. The manager will own delivery outcomes, team performance, and technical quality, contributing at least 30% of their time to technical work.

Machine Learning Engineer focused on building and optimizing scalable generative AI services and inference pipelines for Adobe products. The role involves integrating various generative models, optimizing them for performance, and building APIs for product integration.

Senior Director of Product Management to lead AI and agentic platform capabilities on Adobe Experience Platform (AEP), focusing on core platform services and applications built on top. The role involves defining AI product strategy, leading product vision and roadmap, shaping future agentic AI platform versions, driving cross-functional alignment, and managing a team of product managers. Requires proven platform/infrastructure product leadership, strategic thinking, deep AI/ML background, technical fluency, and experience influencing executive stakeholders.

This role focuses on developing and implementing ML models for search, recommendations, and generative AI use cases within Adobe's creative suite. It involves fine-tuning LLMs and Diffusion models, optimizing inference, and processing multimodal data to assist users and recommend assets. The role also includes research into novel LLM architectures and evaluation methods.

Research Scientist at Adobe's Media and Data Science Research (MDSR) Laboratory, focusing on NLP, Computational Social Science, and ML to develop innovative solutions for future digital experiences. The role involves transforming research into products, building evaluations, generating synthetic data, and integrating ML models into Adobe's platforms. Requires a PhD and production deployment experience, with publications in top conferences.

Machine Learning Engineer role focused on building and maintaining predictive models, optimization algorithms, and Agentic AI solutions for Adobe's advertising platform. The role involves developing production-ready features, working with large datasets and low latency requirements, and managing the full model lifecycle in a scalable production environment.

Senior Machine Learning Engineer focused on building infrastructure for large-scale, multimodal AI training and inference. The role involves developing distributed data loaders, data pipelines, batch inference systems, and improving system performance, scalability, and reliability. It also includes implementing search and retrieval systems, CI/CD workflows, and partnering with researchers to turn model requirements into scalable systems.

Senior Machine Learning Engineer focused on building and implementing AI platforms, leveraging deep learning technologies, and working with large-scale computing frameworks to analyze and leverage data for digital experiences.

Senior Engineer to build AI-native platforms and agentic AI systems that integrate LLMs, recommendation engines, and multi-agent orchestration for personalized digital experiences at Adobe's global scale. The role involves designing, implementing, and prototyping these systems, with a focus on production readiness, evaluation, and responsible AI guardrails. Experience with LLM APIs, multi-agent frameworks, RAG, vector databases, and distributed systems is required.

Machine Learning Engineer to optimize customer experience orchestration by building products that transform audience creation, journey optimization, and personalization. Focus on developing innovative models, designing and deploying applications with predictive and generative models, building autonomous agents, and implementing ML-Ops best practices.

Director of Engineering role focused on leading the development and end-to-end delivery of AI-native, production-ready machine learning products for external clients. Responsibilities include technical and product leadership, team scaling and management, and ensuring excellence in production operations. Requires extensive experience in delivering and managing AI/ML products in production, with strong business and commercial exposure.

Staff Machine Learning Engineer at Adobe to design, build, and maintain AI/ML systems for GenStudio. Responsibilities include framing product features as ML tasks, analyzing trade-offs, managing data labeling, organizing datasets, implementing research techniques, handling cold-start scenarios, defining benchmarks, architecting scalable ML systems, and optimizing model development in GPU/TPU environments. Requires 12+ years of experience, expertise in ML/DL, Python, PyTorch, and scalable AI/ML system design.

Senior Manager, Machine Learning Engineering for Adobe Firefly's GenAI Product Services team. The role involves leading a team to build, deploy, optimize, and scale generative models and APIs for enterprise customers. Responsibilities include technical leadership, strategy definition, roadmap shaping, and cross-functional collaboration. The ideal candidate has strong experience in generative AI, production-scale ML deployments, and engineering leadership.

Machine Learning Engineer & Architect for Adobe Journey Optimizer B2B, focusing on AI and Agents team to define and own ML architecture vision for B2B journey orchestration platform. Role involves training/finetuning models, architecting ML pipelines, recommending models/metrics/governance, providing technical leadership, and deploying/operating ML systems. Requires 10+ years ML experience, 3+ years generative AI, strong Python, deep learning engineering, and experience with post-training techniques.

Machine Learning Engineer at Adobe to optimize customer experience through predictive and generative models, focusing on autonomous agents and agentic frameworks. The role involves designing, developing, and deploying applications, implementing ML-Ops, and collaborating with research and product teams.

Applied Scientist at Adobe focused on transforming research breakthroughs in Generative AI, LLMs, and multimodal AI into innovative product features for millions of users. The role involves scouting, adapting, and improvising the latest research, prototyping, and deploying practical innovations, with a strong emphasis on training and optimizing large-scale models, including post-training techniques and GPU-accelerated pipelines for both training and inference.

This role focuses on engineering GenAI backend services for video, deploying ML models from experimentation to production, optimizing performance, and enhancing MLOps workflows. It requires expertise in Generative Video AI, model optimization, inference efficiency, and GPU acceleration for cloud-scale products.

Senior Customer Facing Applied AI Engineer at Adobe, focused on implementing AI capabilities into customer applications and workflows, analyzing model behavior in production, designing evaluation pipelines, and ensuring AI features are usable, measurable, and scalable. The role involves deep technical work and on-site customer collaboration.

Senior Machine Learning Engineer to build and implement the AI framework for Adobe Express, focusing on Agentic AI, Create AI, Imaging AI, Motion AI, and Personalization AI. This role involves developing and operationalizing end-to-end systems, including LLM orchestration, inference, data pipelines, and evaluation frameworks, with a strong emphasis on distributed systems and large-scale service development.

Forward Deployed AI Engineer responsible for the end-to-end development and launch of GenAI applications using Adobe and third-party generative models. This role involves embedding into customer teams to rapidly prototype, engineer full-stack applications, and bridge field-proven use cases back to the product roadmap. The engineer will also focus on automation, scaling, and documenting best practices.

Senior Engineering Manager to lead teams building and evolving the Adobe Firefly AI Platform, focusing on large-scale model training, fine-tuning, inference, and serving infrastructure for generative AI products. The role involves technical leadership, architectural decisions, and team management to ensure cost efficiency, performance, and reliability.

Machine Learning Engineer role focused on building and optimizing scalable, high-performance generative AI inference pipelines and APIs for integration into Adobe's consumer products. The role involves optimizing models for latency and throughput, productionizing generative models, and developing enterprise-scale systems for customization and serving.

This role leads a distributed team focused on Generative AI for Adobe Firefly Foundry, an enterprise-grade managed service. Responsibilities include defining strategy for data acquisition, processing, and quality, enabling multi-modal content generation, and building scalable data, pre-training, and post-training pipelines. The role requires deep understanding of ML data lifecycles, expertise in data quality and governance, and proficiency with cloud technologies, with a focus on ethical AI practices and leading a team through the full ML model lifecycle from research to customer impact.

Software Engineer role focused on building and deploying end-to-end GenAI applications for enterprise customers. The role involves prototyping, productionizing, and owning the full lifecycle of GenAI solutions, embedding with customers, and contributing to a platform of reusable components. Requires strong full-stack development, hands-on GenAI experience (LLMs, RAG, embeddings, agent frameworks), cloud/DevOps fluency, and customer-facing communication skills.

Director of Product Management to lead the Media Generation product group, owning the product vision, strategy, and roadmap. This role will serve as the product leader across engineering, AI research, design, user research, product marketing, and go to market teams, working with internal teams and external partners to shape joint product experiences and implement the latest models quickly. The role is an opportunity to shape a new, AI-first product at global scale, define the next generation of creative tooling, and work closely with customers.

Senior Software Engineer role focused on architecting and deploying production-grade AI systems, specifically Agentic AI workflows and RAG pipelines. Responsibilities include system architecture, GenAI implementation, model optimization (fine-tuning, prompt engineering), API development, and MLOps. Requires advanced Python, AI frameworks, vector databases, cloud platforms, data engineering, and DevOps skills.

Technical Architect for Adobe Consulting's Brand Concierge Solution, a NextGen Conversational Agent. This hands-on role involves designing, building, and deploying production-grade agentic AI systems, owning end-to-end solution architecture, and leading delivery teams. Responsibilities include prototyping, code review, selecting LLMs and embedding strategies, and managing non-functional requirements like latency and cost optimization.

This role focuses on designing and building AI agents that automate and augment end-to-end workflows, transforming creative and enterprise processes. The engineer will translate business problems into AI-driven solutions, develop ROI models, and prototype/iterate with users, partnering across teams to scale solutions. Experience building AI agents, copilots, or LLM-powered systems, strong systems thinking, and a commercial mindset are key requirements.

Adobe Research is seeking PhD students for an internship to pursue research problems, develop new algorithms, and produce prototypes, with the possibility of academic publication and application to Adobe's products. The role involves working in areas like AI & Machine Learning, Content Intelligence, and Intelligent Agents.

Director of Software Engineering & Applied AI to lead the development of AI agents, tooling, and automation for customer support, operation, and scaling of Adobe Experience Platform (AEP). Focuses on agentic-first solutions for troubleshooting, proactive monitoring, and adoption acceleration, transforming reactive support into proactive, data-driven customer success operations.

Senior Staff Product Designer role focused on leading the design and delivery of intelligent agentic systems within creative and enterprise workflows. The role involves building and shipping AI-native capabilities, focusing on AI behavior, orchestration, and adaptive interfaces, with a requirement for direct work with models, prototyping in code, and contributing to production implementations.

Director to lead Multimodal Data Research organization responsible for scaling, quality, and innovation in multimodal training data (image, video, audio) for Adobe Firefly's foundational generative and editing models. The role involves setting vision, leading multiple senior teams, and orchestrating execution across data ingestion, filtering, captioning, generation, editing-centric datasets, and data-driven training experiments.

Adobe Research is seeking PhD or master's students for an internship to pursue research problems, develop new algorithms, run experiments, and produce prototypes, with the possibility of academic publication and application to Adobe's products. The role involves working with innovative Machine Learning algorithms and web-scale data.