Director, Machine Learning (San Jose)

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Our Company

Changing the world through digital experiences is what Adobes all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

Our Company

Changing the world through digital experiences is what Adobes all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

Were 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!

The Opportunity

At Adobe Experience Platform (AEP), we are experiencing explosive growth in our customer base who ingest petabytes of data encompassing aspects such as experience delivery, user interactions, and conversion metrics. This data is instrumental for Adobe solutions including RTCDP, AJO, and CJA, facilitating the construction of detailed customer profiles, segmentation of sophisticated audiences, orchestration of customized engagement journeys, and the evaluation of business outcomes. The wealth of data available presents a significant opportunity for the development of innovative applications through machine learning, with the potential to substantially enhance the commercial success of our customers. In the capacity of Director of Applied Machine Learning & Data Science, your responsibility will encompass leading initiatives to convert this vast data repository into valuable insights and avant-garde solutions. Your contribution will be critical in advancing the objectives of AEP, employing data to forge impactful, individualized user experiences and to generate measurable commercial benefits for our customers.

Responsibilities

Wherever AEP data is used for building ML based solution, youll have an important role to play. Your most direct contributions will be in terms of delivering end to end ML solutions (e.g. Lookalike Audiences). In this scenario, youll be directly responsible for our customers to achieve their business outcomes and you would own all of engineering as well as data science aspects of the ML models.

Additionally, youll support the machine learning groups in application teams by providing core ML technology and lowering the barrier to high quality data science work for solutions like journey simulation, customer propensity and probabilistic attribution. Also, we want the business results to be the front and center of our machine learning efforts. To that end, youll closely liaison with the Experimentation group and standardize testing of ML models for all of AEP & Applications.

Finally, youll also support the machine learning groups within our customer base. These groups have high interest in leveraging the AEP data in their own ML models. To enable these groups, we support an ecosystem of cloud-based machine learning systems. Youll be responsible for maturing our offering in this area.

What Youll Do

• Build Data Science foundation through an opinionated and fully integrated system with functionality like automated discovery of important signals, data drift detection and testing of models.
• Provide Generative AI infrastructure that spans training dataset management, LLM fine-tuning and low latency inferencing.
• Consolidate current machine learning solutions into a low cost, configuration driven, general purpose machine learning stack with reusable components.
• Advance AEPs support for cloud-based ML systems so that our customers can export valuable signals from AEP data and bring back model scores to be used in AEP & Applications.
• Articulate important research problems for unlocking the value of AEP data. Partner with Adobes research organization and help craft a multi horizon roadmap.
• Lead a talented team of wide-ranging skillsets (ML researchers, ML engineers, software engineers and data engineers) to achieve high pace of innovation.

What You Need To Succeed

• Delivering cloud-scale, data-driven products and services that are widely adopted with large customer bases. Starting with fast-paced MVP development followed by long grind of continuous improvement.
• Leading teams in multiple geographies one in US and another in Europe or Asia. Hiring and grooming managers. Bridging the skill gaps through training and hiring.
• Advocating for your point of view and sincerely hearing out others. Making decisions in a complex matrix structure with due consideration to diverse opinions.
• Closely working with customers, understanding whats success for them and mapping it to everyday technology choices.
• Communicating complex technical topics in simple terms to internal stakeholders and customers.
• At least 10 years of engineering leadership experience to build high volume data solutions.
• Advanced degree in computer science or equivalent work experience.

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 $193,900 -- $373,600 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.

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.

State-Specific Notices:

California:

Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and fair chance ordinances.

Colorado:

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 the date and time stated above in 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.

Massachusetts:

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.

Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email [email protected] or call (408) 536-3015.

Seniority level

• Seniority level

  Director

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Advertising Services, IT Services and IT Consulting, and Software Development

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