Staff Machine Learning Engineer & Architect

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! We are looking for a passionate Staff ML Engineer & Architect to join our Content Generation team! Together, we'll transform research-level proof of concepts into production systems like Genstudio for Performance Marketing. We are on a mission to empower our customers to generate high-performing, on-brand marketing content at scale, and your work will directly drive this mission forward. In this role, you'll drive system design, assess ML models, develop production data/ML pipelines, create automation architecture, build visualizations, and deploy systems. We've built a diverse, lively group of engineers and scientists with deep roots in the ML space, and we're excited for you to bring your creativity to our multidimensional, fast-paced, and data-driven environment! 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, design, implementation, and best practices. 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: We're looking for someone with a PhD or postgraduate degree in Computer Science, Computer Engineering, or a related field—or equivalent experience. You should bring 10+ years of proven experience as a Machine Learning Engineer with successful delivery of ML projects to customers, 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, will be essential. Experience with post-training techniques such as fine-tuning, alignment or distillation. Knowledge of deployment technologies such as Docker, ML Ops, and ML services is valuable, and experience with cloud platforms like Azure and AWS is a plus. We value excellent problem-solving abilities and your capacity to analyze complex issues and drive solutions with a data-driven approach. Your strong verbal and written communication skills and success in cross-functional team environments will help us all succeed together. Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $172,500 -- $306,625 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $211,800 - $306,625 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base sa ... (truncated, view full listing at source)