Senior Machine Learning Engineer

Adobe•San Jose, CA

About The Position

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 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.

Requirements

6+ years of 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 related areas.
Strong Python and deep learning engineering skills, paired with experience training and running inference with PyTorch or TensorFlow/JAX.
Experience with post-training techniques such as fine-tuning, alignment, or distillation.
Familiarity with deployment tools like Docker, MLOps frameworks, and ML services; experience with cloud platforms like Azure and AWS is a plus.
Strong verbal and written communication skills and a track record of effective collaboration in multi-functional team environments.

Nice To Haves

Hands-on experience with retrieval-augmented generation (RAG), semantic embeddings, agentic AI workflows, or ML inference systems for personalization or recommendation use cases.
Published research, contributions to open-source ML projects, or patents in AI/ML domains.
Experience with Adobe Experience Platform, Marketo Engage, or Journey Optimizer—understanding how ML integrates with enterprise customer data infrastructure.

Responsibilities

Train and fine-tune ML models that solve business use cases and handle data at scale.
Architect and optimize end-to-end ML pipelines, ensuring they're scalable, efficient, and robust.
Dive deep into data to recommend the right models, evaluation metrics, and governance approaches.
Provide hands-on technical contributions, collaborating with engineers on architecture, implementation, and standard processes.
Partner across teams to align priorities and drive projects forward.
Engage throughout the product lifecycle in architecture, design, deployment, and production operations of ML models and systems.

Benefits

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.
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.
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 help us advance our mission of empowering everyone to create.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic.
Adobe aims to make our Careers website and recruiting process accessible to any and all users.
If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email [email protected] or call +1 408-536-3015.