Home/Jobs/Machine Learning Engineer Machine Learning Engineer Adobe Bengaluru 5+ years Today $55.4K–73.5K/yr Full time Onsite Skills Required LLM RAG Gen AI Embeddings Machine Learning Deep Learning Python PyTorch Vision Video NLP VLM Feature Engineering Apache Spark Kubernetes Description Adobe Content Intelligence builds models and pipelines that connect creative signals from images, video, email, and paid social ads to campaign outcomes. This role focuses on machine learning systems for creative understanding across vision, video, and language.

Company: Adobe Role: Machine Learning Engineer Experience Master's degree and 5+ years of relevant experience, or PhD and 2+ years, or equivalent depth of impact

Shipped ML models to production with measurable product or business impact

Comfort taking a significant, well-scoped problem and running with it independently with light day-to-day direction Qualification Master's degree

PhD Responsibilities Build and train models for creative understanding across vision, video, and language

Build labels and features from LLMs, subject-matter experts, and user activity data

Deliver pipelines for ingestion, featurization, training, versioning, and inference at scale

Validate models with offline benchmarks and online A/B tests before release

Operate production ML on Spark, Kubernetes, and GPU/CPU environments

Collaborate with product managers, research scientists, and engineers at Adobe

Link ML work to customer value such as performance insights, brand-aware recommendations, and agent workflow context

Develop relationships across teams, including outside the immediate group

Own significant pieces of the system end to end from building through training, deployment, and iteration





Exercise independent judgment on methods and techniques to achieve the goal Additional Responsibilities Mentor junior engineers as the role expands Nice To Have Experience with recommendation systems

Experience with marketing and creative content platforms More Skills LLM fine-tuning, VLM fine-tuning, training pipelines, inference, production monitoring, GCP, AWS, Azure, distributed data processing, cloud platforms, offline benchmarks, online A/B tests Other Adobe Content Intelligence supports insights, suggestions, and agent tools used throughout Adobe's products

Adobe's products mentioned include Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio

Adobe has 30,000+ employees worldwide

Company culture emphasizes impact, innovation, people, purpose, community, and inclusion

Adobe is an Equal Employment Opportunity employer

Accommodations are available for disability or special need during the hiring process

AI use is restricted during live interviews unless explicitly invited or approved in advance as part of a reasonable accommodation Prepare for this role Recommended resources to build the skills for this position. Sponsored. Generative AI with Large Language Models Coursera Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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