Dir, Machine Learning Eng
Adobe Software
JOB LEVEL
M60/P60EMPLOYEE ROLE
People ManagerThe Opportunity
We are seeking a highly motivated AI/ML and data leader to lead the evolution of a data platform organization into a world where the AI/ML innovation needs to be supported and to influence/fuel the capabilities within the data platform itself. As and AI/ML leader in the Adobe Experience Platform you will be responsible for instilling the intelligence needed in the data lakehouse, data modeling and compute core platform capabilities to enable innovation in the application layers around simplifying and automating interaction with and management of the digital marketing tools to help our customers to easy work towards accomplishing their business goals. All this innovation in the AI space must happen within a well defined trust framework which will ensure that AI-driven decisions are happening in a governed and responsible manner, thus the expectation is for you to both align with these constraints and to help evolving the trust framework to support the ever-increasing needs around supporting the AI use-cases.
What You'll Do
- Technical Leadership: Lead a team of applied scientists and data / systems engineers in designing, building and maintaining core capabilities with Adobe Experience Platform focused on big-data management (petabytes) and compute abstractions (Spark, Kubernetes, etc)
- Strategic Leadership: Drive the transformation of a data engineering group toward a world where AI/ML is an integral part and heavily influencing the innovation in the data engineering space. Provide strong leadership to the engineering team, fostering a culture of collaboration, innovation, and continuous improvement.
- Define and Maintain the best Data, ML and Engineering practices: Drive technical excellence, operational maturity, and code quality within your team. Up-to-date with any emerging trends to adjust the organization to always utilize the best Data, ML and Engineering practices.
- Talent Scouting and Training: Attract, recruit, hire, and develop a high-performing group with the right mix of skills to support the AI/ML, data and operational excellence needs
What You Need To Succeed
- Over 10 years of experience in software engineering with at least 5 years focused in designing machine learning solutions with direct application in the data engineering space
- Ability to lead and inspire a team, excellent interpersonal skills, and the capacity to communicate complex machine learning concepts and their influence / impact on the data space clearly and effectively to stakeholders at all levels.
- A deep understanding of machine learning models, frameworks, and algorithms, with hands-on experience in model development, deployment, and optimization complemented with a good understanding of the big data technologies and challenges.
- Strategic thinking capabilities, with a proven track record of leveraging AI to solve complex business challenges and drive growth.
- Passionate about the ethical and responsible use of AI/ML, ensuring solutions meet the highest standards of transparency and fairness.
- Typically requires a Master’s degree in applied machine learning, artificial intelligence, or data science. A PhD is preferred.
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 12:01 AM 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.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 $193,900 -- $373,600 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.
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.Internal Opportunities
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