Home/Jobs/Machine Learning Engineer 4 Machine Learning Engineer 4 Adobe Noida 6-9 years Today $62.7K–84.3K/yr Full-time Onsite Skills Required Gen AI GPT Multimodal AI Machine Learning Deep Learning Computer Vision BERT Elasticsearch REST Apache Kafka Hadoop AWS Kubernetes Apache Spark Python Description Machine Learning Engineer role on Adobe’s Search, Discovery, and Content AI team. Focused on search, recommendation, content understanding, and generative AI at large scale.

Company: Adobe Role: Machine Learning Engineer Experience 6–9 years of industry experience building and deploying machine learning systems at scale

Experience engineering SaaS-based software

Proficiency in Python for ML/AI

Java is good to have for production-grade systems

Strong expertise in machine learning frameworks and tools such as TensorFlow and PyTorch

Solid understanding of linear algebra, statistics, optimization, and numerical methods

Experience with deep learning for computer vision, natural language understanding, or multimodal AI

Track record of delivering ML solutions to production, optimizing performance, and ensuring reliability

Practical experience processing data at large scale

Experience with AWS resources

Experience with search engine technology

Knowledge of Kubernetes, Spark, or Hadoop

Robust problem-solving skills

Excellent communication and collaboration skills Qualification Bachelor's degree or equivalent experience

Ph.D. in Computer Science, Machine Learning, Data Science, or a related field preferred Responsibilities Develop and optimize machine learning models and algorithms for search, recommendation, and content understanding across diverse content types

Build and deploy scalable generative AI solutions for intelligent content discovery and contextual recommendations

Work on Firefly, Creative Cloud suite, Document Cloud, Marketing Cloud, and Adobe Stock related discovery experiences

Handle data ingestion, search indexing, analytics,



and distributed computing for real-time large-scale asset indexing

Improve ranking and recommendations within the search workflow

Maintain and enhance the search engine

Integrate ML models into production systems with high performance and reliability

Research and implement techniques in language comprehension, computer vision, and multimodal learning

Contribute to the end-to-end ML pipeline including preprocessing, training, evaluation, deployment, and monitoring

Optimize computational efficiency for real-time, large-scale applications

Partner with product teams to identify customer needs and translate them into solutions that prioritize usability and performance

Mentor junior engineers and multi-functional collaborators Additional Responsibilities Build platforms that index billions of images, documents, and other assets in real time

Develop new features using Elastic Search, REST web services, SQS/Kafka, Hadoop, and deep learning

Use analytics and machine learning to improve ranking and recommendations within search Nice To Have Experience with generative AI such as Stable Diffusion, DALL·E, or Midjourney

Experience with Elastic Search or Solr and building indexing pipelines

Knowledge of computational geometry, 3D modeling, or animation pipelines

Familiarity with real-time recommendation systems or search indexing

Publications in peer-reviewed journals or conferences in relevant fields

Experience with web services and REST

Experience with RDBMS and NoSQL databases More Skills search, recommendation systems, content understanding, data ingestion, search indexing, analytics, distributed computing,



REST web services, SQS, TensorFlow, PyTorch, Java, language comprehension, natural language understanding, multimodal learning, real-time systems, SaaS Other Search, Discovery, and Content AI is a cornerstone of Adobe's ecosystem

Content Processing Framework is a unified Agentic platform for efficient, reliable, and scalable content processing across Adobe content The team works with extensive datasets and pioneering technologies

Adobe is a leading global company with resources and infrastructure and the agility of a startup environment

Work on impactful, large-scale projects that touch millions of users daily

Adobe empowers everyone to create through innovative platforms and tools

Adobe offers comprehensive benefits programs and a culture focused on people, purpose, and community

Adobe is an Equal Employment Opportunity employer

AI use during live interviews is not permitted unless explicitly invited or approved in advance as part of a reasonable accommodation

Adobe provides accessibility accommodations for candidates with disabilities or special needs 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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