Adobe
2027 University Graduate - Machine Learning Engineer
$102K–$202K
San Jose +6 · Full-time · Posted Sep 24, 2026
- Location
- San Jose
Waltham
San Francisco
Austin
Seattle
Lehi
New York - Experience
- 0-2+ years of experience in specific relevant skills
- Education
- PhD or MS in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics or equivalent experience; expected graduation date December 2026 – June 2027.
About the job
Develop machine learning and statistical models for large-scale customer and marketing data, and build scalable production algorithms and products.
What you'll do
- Develop predictive models on large-scale datasets using statistical modeling, machine learning, and analytics.
- Build scalable, efficient modeling algorithms for production systems.
- Collaborate with product management and engineering to develop products and features.
What they ask for
- PhD or MS in a listed field or equivalent experience, with expected graduation between December 2026 and June 2027.
- Deep understanding of statistical modeling, machine learning, deep learning, or data mining, with a track record applying these methods.
- Proficiency in one or more of Python, Scala, Java, or C.
- Knowledge and experience with relational databases and SQL.
Nice to have
- Familiarity with large-scale datasets and big data techniques.
- Familiarity with tools such as R, Matlab, and scikit learn.
Pay
$102,400 - $202,250 annually USD — base salary; $139,700 - $202,250 USD — base salary (California); $139,700 - $202,250 USD — base salary (New York); $117,000 - $169,500 USD — base salary (Massachusetts); $127,700 - $185,000 USD — base salary (Washington)
Tools
Python, Scala, Java, C, R, Matlab, scikit learn, SQL
AI focus
Apply AI and machine learning to big-data customer and marketing problems, including attribution, media mix modeling, budget optimization, personalization, causal analysis, and time series analysis.
Model-written summary · the original posting is authoritative