Adobe
2026 University Graduate - Machine Learning Engineer
Adobe, San Jose, California, United States, 95199
Overview
2026 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. 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. Using statistical and econometric methods, predictive models, experimental design methods, and optimization techniques, the candidate will work on research and development projects like attribution, media mix modeling, budget optimization, personalization, causal analysis, and 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 using 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 in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics or equivalent experience required 0-2+ years of experience in relevant skill areas Deep understanding of statistical modeling, machine learning, deep learning, or data mining concepts, with a track record of applying them to real problems Proficient in one or more programming languages such as Python, Scala, Java, and C Familiar with one or more ML or statistical tools such as R, MATLAB, and scikit-learn Knowledge and experience 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 $102,400 — $196,300 annually. Pay within this range varies by work location and may 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. 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. There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability. 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. 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. 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
Entry 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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2026 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. 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. Using statistical and econometric methods, predictive models, experimental design methods, and optimization techniques, the candidate will work on research and development projects like attribution, media mix modeling, budget optimization, personalization, causal analysis, and 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 using 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 in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics or equivalent experience required 0-2+ years of experience in relevant skill areas Deep understanding of statistical modeling, machine learning, deep learning, or data mining concepts, with a track record of applying them to real problems Proficient in one or more programming languages such as Python, Scala, Java, and C Familiar with one or more ML or statistical tools such as R, MATLAB, and scikit-learn Knowledge and experience 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 $102,400 — $196,300 annually. Pay within this range varies by work location and may 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. 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. There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability. 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. 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. 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
Entry level Employment type
Full-time Job function
Engineering and Information Technology Industries: Advertising Services, IT Services and IT Consulting, and Software Development
#J-18808-Ljbffr