This role pays less than
83%
of similar roles. Most pay
$168,887–$241,750
— the shaded band above.
At the midpoint, this role pays about
$152k
versus about
$205k
for comparable roles.
Based on 240 similar postings.
Employer
About Adobe
Adobe Inc. is a global software company known for creative and multimedia software products including Photoshop, Illustrator, Acrobat, and its cloud-based Creative Cloud and Document Cloud suites. Industry: Creative & Digital Experience Software
Adobe currently has
181 open roles
on FindRole.
Listed pay typically runs
$148,100–$265,350
across 181 roles with salary data.
As a 2027 University Graduate - Machine Learning Engineer, you will join the team to apply AI and machine learning techniques to big-data problems aimed at optimizing customer experiences. You will partner with business units to build products addressing challenges across the customer lifecycle, including analytics and marketing media optimization. Your daily work involves developing predictive models on large-scale datasets using advanced statistical modeling, machine learning, and analytics. You will also develop scalable algorithms for production systems while collaborating with product management and engineering groups. The role requires proficiency in Python, Scala, Java, or C, along with experience in R, Matlab, or scikit learn. Essential skills include deep knowledge of deep learning, data mining, SQL, and relational databases to solve complex problems like attribution, media mix modeling, budget optimization, personalization, causal analysis, and time series analysis.
What does a Machine Learning Engineer earn in California?
Median $239562 from 175 postings across 26 companies.
Develop predictive models on large-scale datasets using advanced statistical modeling and machine learning techniques.
Implement scalable and efficient modeling algorithms for production systems handling big data.
Apply econometric methods to solve business problems like attribution and media mix modeling.
Perform research and development on projects involving budget optimization, personalization, and causal analysis.
Conduct time series analysis to improve customer experience and marketing media optimization.
Build new products and features in collaboration with product management and engineering teams.
Utilize Python, Scala, Java, or C to develop machine learning solutions.
Manage data extraction and processing using relational databases and SQL.
What we're looking for
PhD or MS in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics, or equivalent experience is required.
Candidates must have an expected graduation date between December 2026 and June 2027.
0 to 2+ years of experience in specific relevant skills are required.
Deep understanding of statistical modeling, machine learning, deep learning, or data mining concepts is required.
Proficiency in one or more programming languages such as Python, Scala, Java, and C is required.
Familiarity with one or more machine learning or statistical modeling tools such as R, Matlab, and scikit learn is required.
Knowledge and experience working with relational databases and SQL is required.
Familiarity with working with large-scale datasets and big data techniques is preferred.
Machine Learning
Python
TensorFlow
PyTorch
scikit-learn
Data Pipelines
Java
R
Statistics
Probability
Fraud Detection
Risk Modeling
AI-assisted development tools
Backend Services
Large Datasets