2027 University Graduate - Machine Learning Engineer

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

Preferred

Familiarity with working with large-scale datasets and big data techniques would be a plus

Benefits

Non-sales roles ... short-term incentives are in the form of the Annual Incentive Plan (AIP).

Certain roles may be eligible for long-term incentives in the form of a new hire equity award.

Glassdoor

4.0

Adobe is a software company that provides its users with digital marketing and media solutions.

San Jose, California, USA

http://www.adobe.com

Distribution of Different Job Fields Receiving Sponsorship

75

Represents job field similar to this job

Engineering and Development

Product Management

Management and Executive

Customer Service and Support

Marketing

Creatives and Design

Accounting and Finance

Sales

Human Resources

Legal and Compliance

Arts and Entertainment

Education and Training

Trends of Total Sponsorships

*2026

(1038)

2025

(1160)

2024

(1217)

2023

Qualifications

PhD or MS in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics or equivalent experience required with an 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, 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

Familiarity with working with large-scale datasets and big data techniques would be a plus

Required skills

Represents the skills you have, click on the tags, Statistical Modeling, Machine Learning, Deep Learning, Data Mining, Scala, Java, R, MATLAB, Scikit-learn, SQL, Relationship Management