2026 University Graduate - Machine Learning Engineer at Adobe

San Jose, California, United States

Adobe Logo
Not SpecifiedCompensation
Entry Level & New GradExperience Level
Full TimeJob Type
UnknownVisa
TechnologyIndustries

Requirements

  • PhD or MS in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics or equivalent experience
  • 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
  • Strong academic background
  • Technical skills including applied statistics, machine learning, data mining, and software development
  • Familiarity with working with large-scale datasets and big data techniques (preferred)

Responsibilities

  • 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
  • Apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead and optimize the experience of its customers
  • Partner with the business units to build various products that address challenging business problems through customers’ full lifecycle, from customer analytics to marketing media optimization
  • Work on research and development of projects like attribution, media mix modeling, budget optimization, personalization, causal analysis, time series analysis using statistical and econometric methods, predictive models, experimental design methods, and optimization techniques

Skills

Key technologies and capabilities for this role

Machine LearningPredictive ModelingStatistical ModelingApplied StatisticsData MiningSoftware DevelopmentBig DataTime Series AnalysisCausal AnalysisOptimization

Questions & Answers

Common questions about this position

What education is required for this Machine Learning Engineer position?

A PhD or MS in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics or equivalent experience is required.

What programming languages should I know for this role?

Proficiency in one or more programming languages such as Python, Scala, Java, and C is required.

What tools or frameworks are needed for machine learning in this job?

Familiarity with one or more machine learning or statistical modeling tools such as R, Matlab, and scikit-learn is required.

What is the experience level required for this graduate position?

0-2+ years of experience in specific skill/field(s) is required.

What does Adobe's company culture emphasize?

Adobe is committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity, valuing new ideas from everywhere in the organization.

Adobe

Software solutions for content creation and marketing

About Adobe

Adobe provides a range of software solutions focused on digital experiences, catering to creative professionals, businesses, and educational institutions. Its main offerings include Adobe Creative Cloud, which contains tools for photography, graphic design, video editing, illustration, UI/UX design, 3D and augmented reality, and social media content creation. Adobe also offers marketing solutions through Adobe Experience Cloud and document management services via Adobe Document Cloud. The company operates on a subscription-based model, allowing users to access its software through monthly or annual plans, with special pricing available for students, teachers, and businesses. Adobe differentiates itself from competitors by providing a comprehensive suite of tools that cover various aspects of content creation and marketing, all integrated into one platform. The goal of Adobe is to empower users to create, manage, and optimize their digital content effectively.

San Jose, CaliforniaHeadquarters
1994Year Founded
$668.9MTotal Funding
IPOCompany Stage
Consumer Software, Enterprise Software, DesignIndustries
10,001+Employees

Benefits

Company Equity
401(k) Company Match

Risks

Emerging AI-driven design tools offer similar functionalities at lower costs.
Open-source alternatives may attract users away from Adobe's subscription model.
Data privacy concerns could affect trust in Adobe's cloud services.

Differentiation

Adobe offers a comprehensive suite for content creation, marketing, and document management.
Adobe's subscription model includes special pricing for students, teachers, and businesses.
Adobe integrates advanced analytics with Experience Cloud for data-driven marketing.

Upsides

Generative AI tools enhance Adobe's content creation and editing efficiency.
Remote work boosts demand for Adobe's cloud-based document management solutions.
AR's popularity in marketing benefits Adobe's 3D and AR tools.

Land your dream remote job 3x faster with AI