Machine Learning Engineer 3

Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. 

We’re 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

Join Adobe and be at the forefront of driving digital transformation. As a Machine Learning Engineer 3, you will play a crucial role in developing cutting-edge machine learning models and algorithms. Our team is dedicated to solving complex business challenges through innovative machine learning solutions, empowering companies to understand their operations better and make data-driven decisions to achieve key business objectives.

We work on advanced algorithms for attribution, measurement, forecasting, and planning that enable organizations to optimize their strategies and drive growth. Our solutions are designed to address real-world challenges across diverse industries, helping businesses improve performance metrics and increase efficiency.

This is a highly cross-functional role, where you will collaborate closely with product, engineering, and business teams to bring advanced machine learning techniques into production. By joining us, you will directly contribute to the development of impactful solutions that drive measurable value for our business clients.

If you are passionate about innovation, solving meaningful problems, and pushing the boundaries of technology, this is the place for you.

What you’ll Do

• Develop and implement advanced machine learning models and algorithms to solve complex problems

• Collaborate with cross-functional teams to craft and deploy scalable machine learning solutions

• Conduct detailed research and stay updated on the latest trends in machine learning and artificial intelligence

• Optimize machine learning models for performance and accuracy

• Analyze large datasets to extract meaningful insights and drive data-informed decisions

• Engage in code reviews and contribute to maintaining high-quality standards in software development

What you need to succeed

• Educational Requirements:

  • Ph.D. degree in Statistics, Applied Mathematics, Computer Science, or a relevant field, OR

  • Master’s degree in these fields with 2+ years of relevant industry experience.

• Core Skills:

  • Proficient in programming languages such as Python, R, or similar.

  • Strong expertise in probability, statistics, and mathematical modeling.

  • Comprehensive knowledge of common machine learning algorithms and techniques.

  • Hands-on experience with machine learning frameworks and libraries, including TensorFlow, PyTorch, and Scikit-learn.

  • Sharp analytical and problem-solving skills with a focus on data-driven decision-making.

• Additional Qualities:

  • Demonstrated success in developing and deploying machine learning models in production environments.

  • Ability to thrive in collaborative, dynamic, and fast-paced settings.

  • A passion for staying current with advancements in machine learning and continuous self-improvement.

  • Strong communication skills to effectively convey complex technical concepts to diverse stakeholders.

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 $120,700 — $228,600 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.

Adobe is proud to be an Equal Employment Opportunity and affirmative action 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 accommodations@adobe.com or call (408) 536-3015.

Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.