Machine Learning Engineer 50

The Opportunity Adobe Journey Optimizer B2B is redefining how enterprises engage buying groups through AI-powered customer journey orchestration. We're building intelligent systems that understand complex B2B buyer behavior, predict intent signals across accounts, and deliver hyper-personalized experiences at every touchpoint—from first awareness through closed revenue. We are looking for a Machine Learning Engineer & Architect to join our AI and Agents team, define and own the ML architecture vision for our B2B journey orchestration platform. In this role, you'll shape how thousands of B2B enterprises leverage AI to transform pipeline generation, accelerate deal velocity, and drive measurable revenue impact. Your architecture decisions will power billions of personalized interactions annually, directly influencing how marketing and sales teams identify, engage, and convert buying committees. What you'll do with us You'll train and finetune ML models that solve business use cases and handle data at scale. We'll work together to architect and optimize end-to-end ML pipelines, ensuring they're scalable, efficient, and robust. You'll dive deep into data to recommend the right models, evaluation metrics, and governance approaches. Provide hands-on technical leadership, guiding engineers through architecture, building, implementation, and established guidelines. Work across organizational boundaries to align priorities and drive projects forward. Throughout the product lifecycle, you'll engage in architecture, design, deployment, and production operations of ML models and systems What will help you thrive: 10+ years of proven experience in machine learning with successful delivery of ML projects, and 3+ years of hands-on experience working with generative AI technologies such as LLMs, evaluations, fine-tuning, and more. Your strong Python and deep learning engineering skills, paired with experience in training and inferencing with PyTorch or TensorFlow/JAX, will be essential. Experience with post-training techniques such as fine-tuning, alignment or distillation. Knowledge of deployment tools like Docker, ML Ops, and ML services is valuable, and experience with cloud platforms like Azure and AWS is a plus. Your strong verbal and written communication skills and success in multi-functional team environments will help us all succeed together. Ways to Stand Out You bring hands-on experience with retrieval-augmented generation (RAG), semantic embeddings, agentic AI workflows, and ML inference systems for personalization or recommendation use cases You have published research, contributed to open-source ML projects, or hold patents in AI/ML domains You have experience with Adobe Experience Platform, Marketo Engage, or Journey Optimizer—understanding how ML integrates with enterprise customer data infrastructure About Adobe Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours. Let’s Adobe together At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can ... (truncated, view full listing at source)