Senior Machine Learning Engineer

Job description

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.

What You'll Do

• 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.
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