Senior Computer Scientist

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!

Adobe InDesign is the industry-leading page design software and layout app that lets you create, pre-flight and publish professional documents for print and digital media. InDesign has everything you need to make posters, books, digital magazines, eBooks, interactive PDFs and more.

• Own product solutions through their end to end development lifecycle ensuring high quality.
• As a key member of the team you will be expected to design, build, test and deploy stable, scalable and simple solutions.
• Work very closely with product management, experience designers, quality engineering for defining requirements for features.
• Work in highly collaborative, fast paced, agile environment.
• Work with highly flexible and geographically distributed teams.
• Mentor junior team members.

• B.Tech /M.Tech in Computer Science & Engineering from a premier institute.
• Should have excellent knowledge in fundamentals of Machine Learning and Artificial Intelligence.
• Should have hands on experience through ML Lifecycle from EDA to model deployment.
• Should have hands on experience data analysis tools like Jupyter, and packages like Numpy, Matplotlib etc.
• Familiarity with state-of-art deep learning frameworks, such as Tensorflow, PyTorch, Keras, Caffe, Torch. & architectures like Diffusion, LLM, etc.
• Proficient in C/C++,Java OR Python, data structures and algorithm.
• Knowledge of application development on multiple platforms including variousflavors of Windows and Macintosh.
• Working knowledge of design patterns and how to apply them in real world problems.
• Leveraging industry best practices and experience, identify automation opportunities and solve problems using automation tools (at times AI based) and technologies.
• Performance tuning of applications.
• Can do: attitude and willingness to take on challenges

• Working knowledge of JavaScript.
• Understanding of ML landscape and ability to apply these into the problem domains around layout and publishing.
• Client server/Web based development.
• Cloud platforms like AWS/Azure.
• Develop cloud enabled, highly scalable and distributed solutions