Machine Learning Engineer, Platform & Data

Job Description

About Adobe

Adobe is a global leader in digital media and digital marketing solutions. Our creative, marketing, and document solutions empower everyone—from emerging artists to global brands—to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. Adobe is everywhere, and we’re changing the world through digital experiences.

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 AI models trained on hundreds of millions of images owned or licensed by Adobe. We are hiring for a highly strategic and visible role to help evolve these models. This is an opportunity to reach millions of creatives, helping them reinvent the way they work.

Responsibilities

• Design, architect, and build cloud ML platform solutions related to resource management, monitoring, allocation, and job scheduling.
• Design, architect, and build reliability, observability, and utilization infrastructure for cloud computing resources.
• Collaborate with data platform engineers and architects to seamlessly integrate low latency data pipelines into the ML platform for model training.
• Collaborate with machine learning and data scientists to identify and resolve requirements to improve the training cost and turnaround time on the ML platform.
• Monitor machine learning platform performance and modify infrastructure to fit fluid cloud resource needs.
• Write high-quality, product-level code that is easy to maintain and test following standard methodologies.

Key Skill Requirements

• Proficiency in at least two of: Linux, Ansible, Docker, Kubernetes (3+ years)
• Expert in Python and/or C++
• Experience in distributed computing (3+ years)
• Experience in HDFS, Spark, Presto (3+ years)
• Experience working with AWS or similar cloud infrastructure (3+ years)
• Experience with HW resource management for ML training and/or deployment
• B.S., M.S, or Ph.D. in Computer Science, Computer Engineering, or a related area

Compensation

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $135,200 -- $250,900 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience.

Additional Information

Adobe is proud to be an Equal Employment Opportunity and affirmative action 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 applicable characteristics protected by law.