About Adobe's Firefly Group
Join a team where ambition meets brand new ideas! Adobe's Firefly Group offers an outstanding opportunity to be at the forefront of innovative technology. As leaders in digital experiences, we are determined to transform how companies interact with customers across every screen. Our mission is to empower engineers and researchers by providing world-class cloud solutions for ML workflows, using the latest technology and frameworks. If you are passionate about crafting flawless digital experiences and are eager to compete in a dynamic environment, this is the place for you.

Position Summary
The AI Platform team builds the compute infrastructure that enables AI workloads at scale - spanning job scheduling, resource management, and the control plane that ML engineers at Adobe depend on daily. We sit at the intersection of distributed systems and machine learning infrastructure, building the foundational services that power model training and inference across Adobe Firefly.
We are seeking a ML platform engineer to join our ambitious team in Noida/Bangalore. This role is ideal for a strong engineer who is passionate about building reliable platform systems, enjoys working closely with ASML engineers as end users, and is ready to take meaningful ownership of scheduling and compute orchestration components.

What You'll Do

Implement and maintain job scheduling, resource quota enforcement, and compute lifecycle management services
Build reliable worker services and contribute to the control plane that manages GPU/CPU workload execution
Develop and maintain the data layer tracking job state, cluster state, and resource ownership
Work directly with ASML engineers to understand their workflows and help translate requirements into platform features
Contribute to Python SDKs and CLIs that ASML engineers use to submit and monitor compute jobs
Own features end-to-end - from design and implementation through testing, deployment, and monitoring
Investigate and resolve production issues in compute orchestration and scheduling systems
Write clean, well-tested, maintainable code and actively participate in code reviews
Collaborate with senior engineers on system design and architectural decisions

What We're Looking For

B.Tech / M.Tech degree in Computer Science from a premier institute
5-7 years of experience in backend software development or platform engineering
Strong computer science fundamentals - data structures, distributed systems, concurrency
Proficiency in Python and/or Java, with familiarity with async programming patterns
Experience working with relational databases (PostgreSQL preferred) and designing data models
Understanding of Cloud Platforms, with preference for AWS exposure to Azure or GCP is a plus
Familiarity with job scheduling or workflow orchestration concepts (Argo, Airflow, Ray, or similar)
Ability to take ownership of well-defined problem spaces and drive them to completion
Strong debugging and problem-solving skills comfort working in complex distributed systems
Good communication skills - ability to collaborate with ASML engineers and cross-functional teams

Good to Have

Exposure to ML training workflows or GPU workload management
Familiarity with Kubernetes at the workload layer
Experience with gRPC/protobuf or event-driven architectures
Prior work on developer-facing internal tooling or platform SDKs
Interest in or understanding of the ML lifecycle - training pipelines, experiment tracking, model versioning

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 , , , comprehensive , the , the we serve, and how you can help us advance our mission of empowering everyone to create.

Adobe is proud to be an 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.

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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 .

Machine Learning Engineer 3