Machine Learning Engineer
Adobe
This job at a glance
- Who can apply
- New grads and up to 2 years
- Must know
- Machine learningMarketingStatisticsData structures & algorithmsProduct managementPython
- Work
- On-site in Seattle
- Pay
- Not stated by the employer.
- Skill demand
- Machine learning57%Statistics18%Data structures & algorithms18%Marketing3%of 100 similar entry-level jobs posted in the US this week
- Listed
- Nov 9, 2026 · still open
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About the Role
Adobe is seeking a Machine Learning Engineer to apply AI and machine learning techniques to big-data problems. The role involves partnering with business units to build products that address challenging business problems across the customer lifecycle, from customer analytics to marketing media optimization.
Key Responsibilities
- 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.
Requirements & Tech Stack
- Python, Scala, Java, C
- R, Matlab, scikit-learn
- Relational databases and SQL
- Familiarity with working with large-scale datasets and big data techniques (a plus).
Qualifications
- PhD or MS in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics or equivalent experience.
- Expected graduation date: 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.
- Strong analytical and quantitative problem-solving ability.
- Excellent communication, relationship skills, and a strong team player.