2027 University Graduate - Machine Learning Engineer

Adobe Systems
San Jose, San Francisco, Austin, Seattle, New York
Workplace: OnsiteFull timeUSD 102,400 - 202,250 annuallyFunction: Data Science & Machine Learning0Skills: ["Analytical problem-solving","Communication","Relationship skills","Teamwork"]

Apply AI and machine learning to big-data problems to improve how Adobe understands, leads, and optimizes customer experiences. Build products across the customer lifecycle—from analytics to marketing media optimization—using statistical and econometric techniques such as attribution, media mix modeling, budget optimization, personalization, causal analysis, and time series analysis. Develop predictive models and scalable algorithms for production systems, collaborating closely with product management and engineering.

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Adobe Systems
Adobe Systems
1 day ago

2027 University Graduate - Machine Learning Engineer

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Last checked: 8 hours agoStatus: Live

Job Summary

Apply AI and machine learning to big-data problems to improve how Adobe understands, leads, and optimizes customer experiences. Build products across the customer lifecycle—from analytics to marketing media optimization—using statistical and econometric techniques such as attribution, media mix modeling, budget optimization, personalization, causal analysis, and time series analysis. Develop predictive models and scalable algorithms for production systems, collaborating closely with product management and engineering.
Location: San Jose, San Francisco, Austin, Seattle, New York
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Graduate level

Key Responsibilities

  • •Develop predictive models on large-scale datasets to address business problems using statistical modeling, machine learning, and analytics techniques.
  • •Develop and implement scalable, efficient modeling algorithms that can operate on large-scale data in production systems.
  • •Collaborate with product management and engineering groups to develop new products and features.
  • •Apply statistical and econometric methods to research and development projects such as attribution and media mix modeling.
  • •Use optimization and experimental design techniques for areas including budget optimization, personalization, causal analysis, and time series analysis.

Pay and Benefits

Salary: USD 102,400 - 202,250 annually
Equity and Bonus:Equity

Key Requirements

  • •PhD or MS in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics (or equivalent), with an expected graduation date of December 2026 – June 2027.
  • •0–2+ years of experience in relevant skills.
  • •Deep understanding of statistical modeling, machine learning, deep learning, and/or data mining concepts with a track record of solving problems using these methods.
  • •Proficiency in one or more programming languages such as Python, Scala, Java, or C.
  • •Knowledge of machine learning/statistical modeling tools such as R, Matlab, and scikit-learn, plus experience with relational databases and SQL.
Experience:0Big dataMachine learningStatistical modeling
Education:
Skills:Analytical problem-solvingCommunicationRelationship skillsTeamwork
Tech Stack:PythonScalaJavaCRMatlabScikit-learnSQLRelational databasesTime series analysis

Company Brief

Adobe Systems
Provides creative, marketing, and document management software and cloud services, including Photoshop, Illustrator, Acrobat, and the Adobe Experience Cloud, serving creative professionals, enterprises, and governments worldwide.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Jose, United States
Founded: 1982
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