JOB LEVEL
P30
EMPLOYEE ROLE
Individual Contributor

The Challenge

The Adobe Document Cloud Data Science team is on the lookout for an ambitious Machine Learning Engineer to join our dynamic workforce in Waltham, MA. This outstanding opportunity allows you to apply innovative AI/ML techniques and help us build solutions that will drive the success of our Document Cloud business. By collaborating with various business units, you will develop sophisticated data science models addressing challenging issues such as acquisition, engagement, conversion, and retention. You will have the chance to exercise creativity in problem-solving, delivering inventive new solutions within our data ecosystem. Join a team of skilled engineers dedicated to elevating our customer experiences to the next level!

What You’ll Do

• Push the boundaries of online recommendation and optimization systems.

• Develop and implement scalable and efficient models on large-scale datasets to address various business problems using sophisticated statistical modeling and machine learning techniques.

• Address complex data science challenges such as online learning and reinforcement learning when tackling business problems in digital marketing.

• Gather, synthesize, and interpret disparate quantitative information sources, develop meaningful insights, and communicate these clearly to key partners.

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

• Compose a winning culture built on collaboration and shared accomplishments - have fun along the way!

What You Need to Succeed

• PhD + 2 years of experience or MS degree in Computer Science, Statistics, Applied Math, Electrical Engineering, Operations Research, Econometrics, or other related fields with 5+ years of experience.

• Solid expertise in machine learning, deep learning, and reinforcement learning.

• Expertise in applying causal inference and experimentation techniques (e.g., uplift modeling, treatment effect estimation, counterfactual analysis) to measure the true incremental impact of personalization and optimization initiatives.

• Ability to develop and enhance personalization using causal signals and machine learning methods (e.g., contextual bandits, reinforcement learning) to drive engagement, conversion, and retention.

• Proficiency in one or more programming languages such as Python.

• Deep understanding of model serving, orchestration, scaling, and GPU resource management.

• Excellent communication and relationship skills, and a great teammate.

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 $125,600 -- $234,150 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.

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In California, the pay range for this position is $161,700 - $234,150 │ In Massachusetts, the pay range for this position is $134,000 - $194,000

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.

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 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.

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