Machine Learning Engineer 4

Our Company
Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. 
We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

The Opportunity

Join Adobe in the heart of Bangalore, where brand-new engineering meets outstanding innovation. As a Machine Learning Engineer, you will play a pivotal role in crafting the future of digital experiences. This is an outstanding opportunity to be part of a dynamic and ambitious team dedicated to developing pioneering machine learning solutions. Your work will be instrumental in delivering powerful technology that empowers users globally.

What you'll Do

• Collaborate with cross-functional teams to determine key interfaces for your projects and build them with agility.
• Successfully implement complex ML based solutions using Natural Language Processing (NLP), Generative AI, Retrieval Augmented Generation (RAG) and Transformer architectures to optimize Adobe’s products and services.
• Develop, evaluate, and deploy scalable ML models into production.
• Monitor and evaluate the performance of ML models, making necessary adjustments to compete at the highest level.
• Consistently follow industry standard methodologies in software engineering, ensuring code of high quality and flawless performance.
• Drive innovation through research and experimentation, encouraging an environment where new ideas can thrive.
• Bring innovative ideas based on the latest technological breakthroughs to build solutions and solve problems.
• Apply data analysis and mining using frameworks such as Hadoop and Spark to build insights for product roadmap.
• Build reliable and scalable data processing pipelines using best of the data engineering practices.
• Do analysis and present key findings, insights and concepts to key influencers and leaders.

What you need to succeed

• A master's degree or equivalent experience in Machine Learning.
• 5+ years of industry experience in ML and Data engineering, with a proven record of designing, implementing, and delivering high-quality AI and ML software solutions.
• Strong knowledge of Python, Python based ML and Data Science frameworks with fluency in at least one machine learning framework such as PyTorch, TensorFlow or and Scikit-learn.
• Strong programming skills in languages such as Python and Java
• Knowledge and practice of ML Ops.
• Experience working with both research and product teams.
• Excellent problem-solving skills, with a proven track record of delivering innovative solutions.
• Ability to thrive in a collaborative, inclusive, and diverse workplace, embracing different perspectives and ideas.
• Strong curiosity about staying ahead of the curve by familiarizing yourself with the latest and the best in the technological landscape and turning them into effective solutions for our customers.

Adobe is proud to be an Equal Employment Opportunity and affirmative action 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 [email protected] or call (408) 536-3015.

Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.