University Graduate – Machine Learning Engineer

Adobe

. Apply AI and machine learning techniques to big-data problems .

Posted 9/24/2026full-timeUnited StatesEntry Level💰 $102,400 - $202,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in applying AI and machine learning techniques to big-data problems, with a strong foundation in statistical modeling and predictive analytics. Proficient in programming languages and tools essential for developing scalable modeling algorithms and collaborating effectively across teams.

Highest-signal resume keywords

PhD Or MS In Computer ScienceStatistical ModelingMachine LearningPython ProgrammingSQL

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningStatistical ModelingDeep LearningData MiningPredictive ModelingAnalytical Problem-SolvingBudget OptimizationCausal AnalysisTime Series AnalysisMedia Mix Modeling

Soft Skills

Excellent CommunicationRelationship SkillsStrong Team Player

Tools & Technologies

RMatlabScikit LearnRelational Databases

Industry Keywords

Big DataCustomer AnalyticsMarketing Media OptimizationAttribution

Tech Stack

Tools & technologies

JavaPythonScalaSQL

About the role

Key responsibilities & impact

Apply AI and machine learning techniques to big-data problems
Build products addressing business problems across the customer lifecycle, from customer analytics to marketing media optimization
Develop predictive models on large-scale datasets using advanced statistical modeling, machine learning, and analytics techniques
Develop and implement scalable and efficient modeling algorithms for production systems
Collaborate with product management and engineering groups to develop new products and features
Work on projects involving attribution, media mix modeling, budget optimization, personalization, causal analysis, and time series analysis

Requirements

What you’ll need

PhD or MS in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics or equivalent experience required
Expected graduation date of December 2026 – June 2027
0-2+ years of experience in specific relevant skills
Deep understanding of statistical modeling, machine learning, deep learning, or data mining concepts
Track record of solving problems with statistical modeling, machine learning, deep learning, or data mining methods
Proficient in one or more programming languages such as Python, Scala, Java and C
Familiarity with one or more machine learning or statistical modeling 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 and relationship skills
Strong team player

Benefits

Comp & perks

Annual Incentive Plan (AIP) for short-term incentives
Potential new hire equity award for eligible roles
Comprehensive benefits programs
Reasonable accommodations for applicants with disabilities or special needs