Principal ML Engineer / Principal Platform Infrastructure Engineer

Key Skills

Ansible, AWS, C++, Data science techniques, Design, Docker, HDFS, Kubernetes-K8s, Linux Operating system, Machine learning techniques, Presto, Python Programming, SPARK Programming

Job Description

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!

What you will be impacting:

• Design, architect and build cloud ML platform solutions related but not limited 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 in order 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.

What skills will make you successful:

• Proficiency in at least two of: Linux, Ansible, Docker, Kubernetes (5+ yrs)
• Expert in Python and or C++
• Experience in distributed computing (7+ yrs)
• Experience in HDFS, Spark, Presto (3+ yrs)
• Experience working with AWS or similar cloud infrastructure (5+ yrs)
• 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

FireflyGenAI

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 $189,400 -- $357,900 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

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.

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