Staff Machine Learning Engineer

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Adobe is changing the world through digital experiences. We empower people to design and deliver exceptional digital experiences and transform how companies interact with customers across every screen. We hire the very best and are committed to creating exceptional employee experiences with equal opportunity for all.

Adobe Experience Intelligence Team is looking for a Staff Machine Learning Engineer who will apply AI and machine learning techniques to big-data problems to help Adobe better understand, manage and optimize the experience of its customers.

The Challenge

Partnering with business stakeholders, the selected candidate will develop ML models and Generative AI applications addressing business problems including product recommendation, user targeting, agents for workflow optimization, and insight generation. You will design and implement an end-to-end ML solution to tackle a business problem. As a hands-on technical leader, you’ll define architectural direction, uphold high engineering standards, mentor peers, and drive productization of the ML solution.

What You’ll Do

Design, build, and maintain scalable, production-grade ML solutions that can work with large-scale data in production systems

Lead architectural design and guide the development of optimized ML pipelines

Collaborate with product management and engineering groups to develop new products and features

Define technical direction, conduct building reviews, and establish guidelines for reliability, scalability, and maintainability

Own and improve CI / CD systems and monitoring pipelines for ML services

Mentor engineers across ML and backend fields, encouraging a culture of technical excellence

What You Need To Succeed

PhD or MS degree in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics, or related fields

8+ years' experience building ML solutions and ML systems at scale

3+ years’ experience architecting cloud services and infrastructure for large-scale use, reliability and performance

Deep understanding of generative AI, machine learning, deep learning, or data mining concepts with a track record of applying these methods

Proficient in one or more programming languages such as Python, Java, and C

Proven ability to lead complex, high-stakes technical initiatives across teams

Strong analytical and quantitative problem-solving ability

Excellent communication, relationship skills and a strong team player

Preferred Qualifications

Experience with big data techniques

Experience with building generative AI applications

Experience with large scale ML systems

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 $162,000 $301,200 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 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

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.

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 accommodations@adobe.com or call (408) 536-3015.

Seniority level : Mid-Senior level

Employment type : Full-time

Job function : Engineering and Information Technology

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

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