Sr ML Services Engineer

Our Company

Changing the world through digital experiences is what Adobes all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images videos and apps and transform how companies interact with customers across every screen.

Were 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! Its 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 Adobes Inference Platform where our engineers design build and operate the foundational infrastructure that powers serving Firefly models.

What youll 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

• Bachelors degree Masters 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 youre 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:

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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.

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