Dir, Machine Learning Eng

Adobe Inc.
San Jose, CA, United States
about 2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$265,700.0
Working hours
Regular working hours

Tech stack

Adobe Experience Manager Artificial Intelligence Application Layers Systems Engineering Big Data Software Quality Information Engineering Data Infrastructure Machine Learning Software Engineering Apache Spark Adobe
+2 more
Kubernetes Data Lakehouse

Job description

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

Requirements

  • 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.

About Adobe

Benefits & conditions

Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.

Expected Pay Range: 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 positionis $206,400 – $384,675 annually. Paywithin this range varies by work locationand 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. In California, the pay range for this position is $265,700 - $384,675

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.

About the company

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.

Let’s Adobe together

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on diversityjobs.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:28 min

Understanding Kubernetes architecture and core cluster components

Marc Nimmerrichter · WWC 2022

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

1:17 min

Eco-friendly factory operations and generative AI image errors

Chris Heilmann +1 · LIVE

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 · LIVE

4:04 min

Overview of Kubernetes operators and custom resource definitions

Philipp Krenn · WWC 2022

Videos

See all

Related articles

See all