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Machine Learning Engineer 4

Adobe · Bangalore, Karnātaka, India
// classified as
Other (Adjacent or hard to classify.)
posted
1d ago
location
Bangalore, Karnātaka, India
languages
java, python
tools
kubernetes, spark
> stack
javapythonkubernetessparktensorflowtransformers
> education
mastersphd
> description

The Challenge:

Search, Discovery, and Content AI (SDC) is a cornerstone of Adobe’s ecosystem. It helps creative professionals and everyday users access, discover, and use many digital assets and creative content, including images, videos, documents, and more. With growing demand for intuitive search, contextual discovery, and smooth content interactions across Adobe products like Express, Lightroom, and Adobe Stock, SDC is evolving into a generative AI powerhouse.

This team develops modern solutions for intent understanding, personalized recommendations, and action orchestration to transform how users interact with content. Working with massive datasets and groundbreaking technologies, we will help reshape the discovery experience and promote user success. If working at the intersection of machine learning, generative AI, and real-time systems excites you, we’d love to have you join us.

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.
  • Build and deploy scalable generative AI solutions to enable intelligent content discovery and contextual recommendations within Adobe products.
  • Collaborate with cross-functional teams to integrate ML models into production systems, ensuring high performance, reliability, and user impact.
  • Research, develop, and implement brand new techniques in natural language understanding, computer vision, and multimodal learning.
  • Contribute to the end-to-end ML pipeline, including data preprocessing, model training, evaluation, deployment, and monitoring.
  • Partner with product teams to identify customer needs and translate them into innovative solutions.
  • Mentor and provide technical guidance to junior engineers and cross-functional collaborators.

What You’ll Need to Succeed:

  • Bachelor’s, Master’s, or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field, or equivalent experience.
  • 7+ years of industry experience building and deploying machine learning systems at scale.
  • Proficiency in programming languages such as Python (for ML/AI) and Java (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 in deep learning methods for computer vision (e.g., CNNs, transformers), natural language understanding (e.g., BERT, GPT), or multimodal AI.
  • Proven track record of delivering ML solutions to production environments, optimizing performance, and ensuring reliability.
  • 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 effectively in a fast-paced, cross-functional environment.

Nice-to-Haves:

  • Experience with generative AI (e.g., Stable Diffusion, DALL-E, MidJourney) and its application in content creation or discovery.
  • 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.

Why Join Us?

  • Be part of a dynamic, innovative team 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.

If you’re excited to build brand new ML solutions that empower creativity and transform how people interact with content, join us in making a difference!

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. 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.


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 accommodations@adobe.com.


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.

 

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