The Opportunity
- Adobe is looking for a Machine Learning Engineer who has an expertise in software engineering and machine learning. In this role, you will partner with the business units to build and scale data products that address challenging business problems for Adobe’s enterprise customers.
- Research, develop, and deploy large-scale machine learning solutions for business.
What you will Do
- Work closely with data scientists, engineers, researchers, and product managers to build AI/ML solutions and Experimentation on Adobe Experience Manager.
- Engage with customers to understand and anticipate how machine learning can solve their business problems.
- Work across organizational boundaries to align priorities and drive projects forward.
- Promote accomplishments across the organization, blogs, and conferences.
What you need to succeed
- M.S. degree or equivalent experience in Computer Science, Statistics, Applied Mathematics, or related fields.
- Proficient in one or more programming languages such as Python, Java, or Scala.
- In-depth knowledge of machine learning algorithms and their applications to business problems.
- Proven ability in building, deploying, measuring, and maintaining machine learning models.
- Proven ability in building large-scale distributed ML pipelines.
- Experience with scikit-learn, pandas, ml-lib.
Preferred Qualifications
- Proven ability of delivering business solutions or production software.
- Experience with Spring Boot, RESTful Web services, Apache Spark, Cosmos DB or similar, MySQL DB or similar.
- Experience with hypothesis testing, Bayesian statistics, statistical inference, or multi-armed bandit.
- Familiarity with a Deep Learning framework such as TensorFlow or PyTorch.
About Adobe
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.
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 protected characteristic. Learn more.
Adobe aims to make our Careers website and recruiting process 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 +1 408-536-3015.
AI Use Guidelines for Interviews: 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.