Machine Learning Engineer – Big Data & Personalization

Adobe; San Francisco (CA); On-site; USD 120,000 - 170,000; Full time

Job summary

Adobe is seeking a Machine Learning Engineer in San Francisco to apply AI and ML to big‑data problems, driving customer insights and optimization across products. You will build predictive models, design scalable algorithms, and collaborate with product management and engineering to ship new features.

Ideal candidates have a PhD or MS with 0–2+ years of relevant experience, strong statistics, proficiency in Python/Scala/Java/C, and experience with SQL, R, Matlab or scikit‑learn, plus excellent

Qualifications

• PhD or MS in CS/Statistics/EE/Applied Math/OR/Econometrics with expected graduation Dec 2026 – Jun 2027
• 0-2+ years of experience in relevant skills
• Strong knowledge of statistical modeling, ML, data mining
• Proficient in Python, Scala, Java, and C
• Familiar with R, Matlab and scikit-learn
• Experience with relational databases and SQL
• Strong analytical, quantitative and teamwork skills

Responsibilities

• Develop predictive models on large-scale datasets using advanced modeling techniques
• Develop scalable and efficient modeling algorithms for production systems
• Collaborate with product management and engineering to develop new products and features

Skills

Statistical modeling

Analytical reasoning

Communication

Team collaboration

Education

PhD or MS in relevant field

Tools

Python

Scala

Java

C

R

Matlab

scikit-learn

SQL

Job description

Adobe is seeking a Machine Learning Engineer in San Francisco to apply AI and ML to big‑data problems, driving customer insights and optimization across products. You will build predictive models, design scalable algorithms, and collaborate with product management and engineering to ship new features.

Ideal candidates have a PhD or MS with 0–2+ years of relevant experience, strong statistics, proficiency in Python/Scala/Java/C, and experience with SQL, R, Matlab or scikit‑learn, plus excellent