Computer Scientist - II (Services + ML)

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 Firefly GenAI services team is looking for a passionate engineer to enable and accelerate the Adobe GenAI creative flows powered by pioneering machine learning models.

What you'll do

This is a individual contributor position. Expectations will be on

the below lines :

Work with all the collaborators, be responsible for all phases of engineering. From early specs, design / architecture, technology choice, development, unit-testing / integration automation, and deployment.

Build technical specifications, prototypes and presentations to communicate your ideas.

Participate in resolution of production issues and develop solutions to prevent future issues from happening again

Be proficient in emerging industry technologies and trends, and have the ability to communicate that knowledge to the team and use it to influence product direction.

Orchestrate with team to develop a product or parts of a large product.

Requirements

/ degree in Computer Science from a premier institute

6-8+ years of relevant experience in software development

Should have excellent computer science fundamentals and good understanding of design, and performance of algorithms

Deep knowledge of cloud-native applications

Proficient in Python, Pytorch, FastAPI, Distributed Services design

Good Knowledge of some of Redis, MongoDB, Dynamo, Cosmos, Kafka, SQS, S3 is an added advantage

Passionate about quality of work, you are persistent and uncompromising

Proficient in writing code that is reliable, maintainable, secure, and performant

Experience working with both research and product teams.

Knowledge of AWS services and / or Azure, Dockers, Jenkins, Splunk

Knowledge and practice of ML Ops.

Bonus Qualifications :

Experience with Continuous Integration / Continuous Deployment (CI / CD)

Exposure to generative AI models, vision, audio domain, including text-to-image and largelanguage models