2026 University Graduate - Machine Learning Engineer at Adobe

San Jose, California, United States

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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

Machine Learning

Predictive Modeling

Statistical Modeling

Applied Statistics

Data Mining

Software Development

Big Data

Time Series Analysis

Causal Analysis

Optimization

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