Machine Learning Engineer - 4

At Adobe, we are redefining how businesses deliver personalized digital experiences at scale. The Adobe Target Personalization team drives this transformation by applying sophisticated machine learning techniques. We use large-scale data processing and real-time decisioning. These efforts power intelligent recommendations and personalized customer experiences.

We are looking for a senior Machine Learning Engineer who is passionate about building scalable ML systems and driving innovation in user-specific content delivery and suggestion technologies. This role combines strong backend engineering with deep ML expertise to deliver impactful, production-grade solutions for personalized experience.

What You’ll Do

• Lead the design and development of advanced machine learning models for personalization and recommendation systems (e.g., ranking, retrieval, collaborative filtering, deep learning-based recommenders).
• Own the end-to-end ML lifecycle—from problem formulation and data exploration to model development, deployment, monitoring, and continuous improvement.
• Build scalable, low-latency systems that power real-time personalization for millions of users.
• Drive ML-Ops excellence by implementing standard processes in model versioning, CI/CD pipelines, monitoring, and automated retraining.
• Collaborate multi-functionally with product managers, data scientists, and platform engineers to translate business goals into impactful ML solutions.
• Architect robust data pipelines using distributed systems (e.g., Spark, Hadoop) to process large-scale datasets efficiently.
• Stay ahead of industry trends in AI/ML (including GenAI and AI agents) and bring innovative ideas into production.

What You’ll Need to Succeed

Must-Have Qualifications

• 7+ years of experience in Machine Learning Engineering and backend development.
• Strong experience building and deploying recommendation systems or personalization models at scale.
• Solid understanding of ML algorithms such as collaborative filtering, ranking models, embeddings, deep learning, and reinforcement learning.
• Hands-on experience with ML frameworks (e.g., Tensor Flow, Py Torch, Scikit-learn).
• Strong backend engineering skills in Java / Python / Scala, with experience building production-grade services.
• Experience with large-scale data technologies such as Apache Spark, Hadoop, and distributed computing frameworks.
• Experience with ML-Ops practices, including model deployment, monitoring, and lifecycle management.
• Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.

Good-to-Have

• Experience with real-time decisioning systems or low-latency inference pipelines.
• Exposure to Generative AI, LLMs, or AI agents applied to personalization use cases.
• Knowledge of Map Reduce paradigms and large-scale data processing optimization.
• Experience working with A/B testing frameworks and experimentation platforms.

Why Join Us

• Work on industry-leading personalization products used by top global brands.
• Solve complex, high-scale problems impacting millions of users in real time.
• Be part of a high-impact, forward-thinking team crafting the future of AI-powered experiences.
• Collaborate with individuals who consistently apply innovative thinking in ML, data, and distributed systems.

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 Gen Studio 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 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. Learn more.

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AI Use Guidelines for Interviews:

Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.