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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!

Adobe is looking for a Machine Learning Engineer to understand & optimize the experience of Adobe's Digital Experience customers. Partnering with Adobe Research and other business units, the candidate will build products that transform the way companies approach audience creation, journey optimization, and personalization at scale. You will join a diverse, collaborative, lively group of engineers and scientists long established in the ML space. The work is dynamic, fast-paced, creative, and data-driven.

What you'll Do:
- Develop innovative models in partnership with Adobe Research.
- Design and build applications powered by predictive models, including working on traditional engineering problems such as defining APIs, integrating with UIs, deploying on Cloud services, CICD, etc., as well as implementing ML-Ops best practices.
- Understand data to make recommendation for the right predictive models, quality metrics and governance approaches.
- Engage in product lifecycle – architecture, design, deployment, and production operations.

What you need to succeed:
- MS or PhD degree in Computer Science, Data Science or related field required.
- Deep understanding of statistical modeling, machine learning, or analytics concepts, and a track record of solving problems with these methods.
- Experience in or knowledge of building large scale data pipeline.
- Ability to quickly learn new skills and work in a fast-paced team.
- Proficient in one or more programming languages such as Python, Scala, Java, SQL.
- Proficient in ML frameworks such as scikit-learn, SparkML, TensorFlow or PyTorch.
- Excellent problem-solving and analytical skills.
- Excellent communication and relationship building skills.

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.

Adobe is seeking a Machine Learning Engineer to optimize Digital Experience customers through innovative modeling and product development.

2025 University Graduate - Machine Learning Engineer

Adobe is looking for a Machine Learning Engineer who will apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead and optimize the experience of its customers. Collaborating with the business units, the candidate will be building various products that address challenging business problems through our customers' full lifecycle, from customer analytics to marketing media optimization.

By using statistical and econometric methods, predictive models, experimental design methods, and optimization techniques, the candidate will be working on the research and development of exciting projects like attribution, media mix modeling, budget optimization, personalization, causal analysis, time series analysis.

Ideal candidates will have a strong academic background as well as technical skills including applied statistics, machine learning, data mining, and software development. Familiarity with working with large-scale datasets and big data techniques would be a plus.

What You'll Do:
- Develop predictive models on large-scale datasets to address various business problems with advanced statistical modeling, machine learning, and analytics techniques.
- Develop and implement scalable and efficient modeling algorithms that can work with large-scale data in production systems
- Collaborate with product management and engineering groups to develop new products and features.

What You Need to Succeed:
- PhD or MS degree in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics or equivalent experience required
- 0-2+ years of experience in specific skill/field(s)
- Deep understanding of statistical modeling, machine learning, deep learning, or analytics concepts, and a track record of solving problems with these methods.
- Proficient in one or more programming languages such as Python, Scala, Java and C
- Familiar with one or more machine learning or statistical modeling tools such as R, Matlab and scikit learn
- Knowledge and experience of working with relational databases and SQL
- Strong analytical and quantitative problem-solving ability.
- Excellent communication, relationship skills and a great teammate.

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.

Adobe is seeking a Machine Learning Engineer to apply AI and ML techniques to big-data problems, optimizing customer experiences through predictive modeling and analytics.

Adobe is looking for a Machine Learning Engineer who will apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead and optimize the experience of its customers. Partnering with the business units, the candidate will be building various products that address challenging business problems through our customers' full lifecycle, from customer analytics to marketing media optimization.

By using statistical and econometric methods, predictive models, experimental design methods, and optimization techniques, the candidate will be working on the research and development of exciting projects like attribution, media mix modeling, budget optimization, personalization, causal analysis, time series analysis. 

Ideal candidates will have a strong academic background as well as technical skills including applied statistics, machine learning, data mining, and software development. Familiarity with working with large-scale datasets and big data techniques would be a plus.

What You'll Do:
- Develop predictive models on large-scale datasets to address various business problems with advanced statistical modeling, machine learning, and analytics techniques.
- Develop and implement scalable and efficient modeling algorithms that can work with large-scale data in production systems
- Collaborate with product management and engineering groups to develop new products and features.

What You Need to Succeed:
- PhD or MS degree in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics or equivalent experience required
- 0-2+ years of experience in specific skill/field(s)
- Deep understanding of statistical modeling, machine learning, deep learning, or data mining concepts, and a track record of solving problems with these methods.
- Proficient in one or more programming languages such as Python, Scala, Java and C
- Familiar with one or more machine learning or statistical modeling tools such as R, Matlab and scikit learn
- Knowledge and experience of working with relational databases and SQL
- Strong analytical and quantitative problem-solving ability.
- Excellent communication, relationship skills and a strong team player.

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 $118,500 -- $219,100 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.

Adobe is seeking a Machine Learning Engineer to develop predictive models and algorithms for customer analytics and marketing optimization.

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