Sr ML Services Engineer

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

Firefly is the new family of creative generative AI models coming to Adobe products that offers a new way to conceptualize, build, and scale content! It's a natural extension of the technology Adobe has produced over the past 40 years.

At the core of Firefly are our commercially safe generative AI models trained on hundreds of millions of images owned or licensed by Adobe. We are hiring for the Adobe's Inference Platform, where our engineers design, build, and operate the foundational infrastructure that powers serving Firefly models.

What you'll do

• Design, develop, and maintain robust AI/ML infrastructure solutions to support the inference and deployment of large-scale AI models using Kubernetes and Python on popular services such as AWS cloud
• Optimization of services to address high performance, latency, and throughput (load) requirements
• Understanding sophisticated service requirements and technical constraints of various platforms while implementing solutions to vastly simplify the software stack, accelerating the inference ML models
• Experience in building platform features to generalize across multiple customer applications
• Collaborate closely with client or customer application teams to build re-usable solutions
• Build the infrastructure for developing efficient, reliable, testable services code in a variety of technical stacks
• Work closely with partner engineering teams to guide the development process from requirements and design through development, integration, testing, and deployment
• Partner closely with various Adobe teams advising on using our technology, investigating bugs, and collaborating on providing new features
• Respond to urgent production issues requiring fast resolution and deployment of code fixes/updates
• Participate in inventing technology that has an enormous impact across Adobe, writing patents, and participating in an active internal community of software development professionals

What you need to succeed

• Bachelor's degree, Master's degree, or equivalent experience in Computer Science, Engineering, Mathematics, etc. or equivalent practical experience
• Own problems end-to-end, and be willing to pick up whatever knowledge you're missing to get the job done to ensure both your team and our customers succeed
• Firm computer science fundamentals, including design patterns, algorithms, asymptotic complexity, parallelism, and database schema design
• Previous experience building, optimizing and operating GPU intensive machine learning workloads in production environments with strong hands-on experience with large-scale GenAI model inference
• Exceptional understanding of model serving, orchestration, scaling, GPU resource management
• Highly proficient using programming languages such as Go/Python/Rust, Linux environments, k8s, and AWS
• Well established distributed computing principles, proven experience building high scale high performance cloud platforms and services
• Extensive experience with CI/CD and an in-depth knowledge of containerization and modern deployment strategies & monitoring tools.
• Works well in a small, collaborative, highly productive team environment across multiple geographies
• Excellent verbal and written communication skills

Bonus Qualifications

• Experience with GPU-based ML inference services

#FireflyGenAI

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

State-Specific Notices:

California:

Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.

Colorado:

Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts:

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Adobe is proud to be an Equal Employment Opportunityemployer. 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 accommodations@adobe.comor call (408) 536-3015.