Senior Machine Learning Engineer

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 at the Experience Intelligence team are looking for a passionate Senior Full-stack ML Engineer 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!

• 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.

• Throughout the product lifecycle, you'll engage in architecture, design, deployment, and production operations of ML models and systems.

• 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 5+ years of proven experience as a Machine Learning Engineer with successful delivery of ML projects to customers, and 2+ 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 LLM frameworks and tools like Hugging Face, LangChain, PEFT, and LlamaIndex will help you make an immediate impact.

• 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.

We provide competitive compensation, comprehensive health benefits, flexible work arrangements, and opportunities for continued learning and development. Our collaborative culture encourages growth, innovation, and making a real impact in the field of machine learning and AI.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process.

Application Window Notice

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 salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

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