Machine Learning Engineer

Adobe; Dadri; On-site; INR 6,000,000 - 9,000,000; Full time

Job summary

Adobe is seeking a Machine Learning Engineer on the SDC team to develop and optimize ML models for search, recommendation, and content understanding across diverse content types. You will deploy scalable generative AI solutions enabling intelligent content discovery within Firefly, Creative Cloud, Document Cloud, and Marketing Cloud.

You will lead end-to-end ML pipelines, handle large-scale data processing, and apply language, vision, and multimodal techniques to production systems while

Qualifications

• Bachelor's degree or equivalent; PhD preferred in CS/ML.
• 6–9 years of industry experience building ML systems at scale.
• Experience in SaaS-based software development and deployment.
• Proficiency in Python and Java; strong ML framework knowledge.
• Solid math foundation: linear algebra, statistics, optimization.

Responsibilities

• Develop and optimize machine learning models for search, recommendation, and content understanding.
• Build and deploy scalable generative AI solutions for Adobe products.
• Index billions of assets in real time using distributed systems.
• Integrate ML models into production with reliable, high-performance pipelines.
• Mentor junior engineers and collaborate with cross-functional teams.

Skills

Python

Java

TensorFlow

PyTorch

AWS

Kubernetes

Spark

Hadoop

Elastic Search

NLP

Multimodal learning

Distributed systems

REST

Education

Bachelor's degree or equivalent

PhD preferred (CS/ML)

Tools

Elastic Search

SQS/Kafka

Hadoop

REST

Job description

Responsibilities

As a Machine Learning Engineer on the SDC team, you will develop and optimize machine learning models and algorithms for search, recommendation, and content understanding across diverse content types. You will build and deploy scalable generative AI solutions. These will enable intelligent content discovery and contextual recommendations within Adobe products. This includes Firefly, the Creative Cloud suite, Document Cloud, and Marketing Cloud. Your work will involve extensive data handling, data ingestion, search indexing, analytics, and distributed computing — building platforms that index billions of images, documents, and other assets in real-time. You will apply analytics and machine learning to improve ranking and recommendations within the search workflow, maintain and enhance the search engine, and develop new features using technologies such as Elastic Search, REST web services, SQS/Kafka, Hadoop, and deep learning. Working alongside multi-functional groups, you will integrate ML models into production systems, ensuring high performance, reliability, and user impact. Your role will involve researching, crafting, and implementing groundbreaking techniques in language comprehension, computer vision, and multimodal learning for content and asset discovery. You will contribute to the end-to-end ML pipeline — including data preprocessing, model training, evaluation, deployment, and monitoring — while pushing the boundaries of computational efficiency to meet the needs of real-time, large-scale applications. Partnering with product teams, you will identify customer needs and translate them into innovative solutions that prioritize usability and performance. Additionally, you will mentor and provide technical guidance to junior engineers and multi-functional collaborators, driving excellence and innovation within the team.

What You'll Need to Succeed

• Bachelor's or equivalent experience; advanced degree such as a Ph.D. in Computer Science, Machine Learning, Data Science, or a related field is preferred.
• 6–9 years of industry experience building and deploying machine learning systems at scale.
• Experience engineering SaaS-based software.
• Proficiency in programming languages such as Python (for ML/AI) and Java (good to have for production-grade systems).
• Strong expertise in machine learning frameworks and tools (e.g., TensorFlow, PyTorch).
• Solid understanding of mathematics and ML fundamentals: linear algebra, statistics, optimization, and numerical methods.
• Experience with deep learning techniques for computer vision (e.g., CNNs, transformers), natural language understanding (e.g., BERT, GPT), or multimodal AI.
• Consistent track record of delivering ML solutions to production environments, optimizing performance, and ensuring reliability.
• Practical experience processing data at a large scale.
• Experience with AWS resources.
• Experience with search engine technology.
• Knowledge of large-scale distributed systems and frameworks (e.g., Kubernetes, Spark, Hadoop).
• Strong problem-solving skills and the ability to innovate new solutions for complex challenges.
• Excellent communication and collaboration skills to work efficiently in a fast-paced, multi-functional environment.

Nice-to-Haves

• Experience with generative AI (e.g., Stable Diffusion, DALL·E, Midjourney) and its application in content creation or discovery.
• Experience with Elastic Search/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.

Why Join Us?

• Join a dynamic, innovative group crafting the future of AI-powered creative tools.
• Work on impactful, large-scale projects that touch millions of users daily.
• Enjoy the benefits and resources of a leading global company with the agility of a startup environment.

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 GenStudio 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.

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.

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 [e-mail].

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. At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer. There's more than meets the eye when it comes to Adobe. Take the quiz and see how we know us!

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 applicable characteristics protected by law. Learn more.

Adobe aims to make Adobe.com 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 [e-mail].