Dir, Machine Learning Eng

Adobe Systems GmbH; San Jose (CA); On-site; USD 193,000 - 374,000; Full time

Job summary

An innovative company is seeking a passionate AI/ML leader to transform its data platform organization. In this pivotal role, you will guide a talented team in designing and maintaining cutting-edge capabilities within a vast data environment. Your expertise in machine learning and data engineering will drive the integration of AI into the platform, ensuring ethical and responsible practices are upheld. This position offers a unique opportunity to influence the future of digital marketing tools, empowering clients to achieve their business objectives. If you're ready to make a significant impact in a collaborative and dynamic setting, this role is for you.

Benefits

Flexible Work Hours

Health Care Plans

Retirement Savings Plan

Employee Stock Purchase Plan

Professional Development Opportunities

Work-Life Balance Programs

Qualifications

• 10+ years in software engineering, 5+ in machine learning solutions.
• Strong leadership and communication skills for complex concepts.

Responsibilities

• Lead a team in building core capabilities for big-data management.
• Drive transformation towards AI/ML integration in data engineering.

Skills

Machine Learning Solutions

Data Engineering

Team Leadership

Interpersonal Skills

Strategic Thinking

Ethical AI Practices

Education

Master’s degree in Applied Machine Learning

PhD in a related field

Tools

Spark

Kubernetes

Job description

JOB LEVEL

M60/P60

EMPLOYEE ROLE

People Manager

The 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 an 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 easily 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 evolve 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. Stay 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 on 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

Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. We’re glad that you’re pursuing a new opportunity at Adobe!

Put your best foot forward:

1. Update your Resume/CV and Workday profile – don’t forget to include your uniquely ‘Adobe’ experiences and volunteer work.
2. Visit the Internal Mobility page on Inside Adobe to learn more about the process and set up a job alert for roles you’re interested in.
3. Check out these tips to help you prep for interviews.
4. If you are applying for a role outside of your current country, ensure you review the International Resources for Relocating Employees on Inside Adobe, including the impacts to your Benefits, AIP, Equity & Payroll.

Once you apply for a role via Workday, the Talent Team will reach out to you within 2 weeks. If you move into the official interview process with the hiring team, make sure you inform your manager so they can champion your career growth.

At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.

Adobe is an equal opportunity and affirmative action employer. We welcome and encourage diversity in the workplace regardless of gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other characteristics protected by law.

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