Join our team as a Director of Machine Learning Engineering at Adobe, where you'll lead innovative AI/ML initiatives within our data platform. We're looking for a strategic leader with a passion for ethical AI to drive transformation and foster a high-performing team. Shape the future of digital experiences with us! 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 di... 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... Seeking a highly motivated leader with over 10 years of software engineering experience, including 5 years in machine learning. Drive innovation in data engineering, manage a team of applied scientists, and ensure ethical AI practices while fostering collaboration and operational excellence within a dynamic environment.
Locations
San Jose, California, United States of America
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
280,000 - 420,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
machine learning modelsintermediate
big data technologiesintermediate
leadership skillsintermediate
data engineering practicesintermediate
ai/ml integrationintermediate
strategic thinkingintermediate
team collaborationintermediate
communication skillsintermediate
operational maturityintermediate
talent developmentintermediate
data lakehouse managementintermediate
model deploymentintermediate
ethical ai practicesintermediate
stakeholder communicationintermediate
continuous improvementintermediate
data modelingintermediate
Required Qualifications
Seeking a highly motivated leader with over 10 years of software engineering experience, including 5 years in machine learning. (experience, 10 years)
Responsibilities
Drive innovation in data engineering
manage a team of applied scientists
ensure ethical AI practices while fostering collaboration and operational excellence within a dynamic environment
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