2025 University Graduate - Machine Learning Engineer

Changing the world through digital experiences is what Adobe's all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences!
Lehi, UT, USA
$118,500 - $219,100
Machine Learning
Software Engineering Intern
In-Person
AI

Description For 2025 University Graduate - Machine Learning Engineer

Adobe is looking for a Machine Learning Engineer who will apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead and optimize the experience of its customers. Collaborating with the business units, the candidate will be building various products that address challenging business problems through our customers' full lifecycle, from customer analytics to marketing media optimization.

By using statistical and econometric methods, predictive models, experimental design methods, and optimization techniques, the candidate will be working on the research and development of exciting projects like attribution, media mix modeling, budget optimization, personalization, causal analysis, time series analysis.

Ideal candidates will have a strong academic background as well as technical skills including applied statistics, machine learning, data mining, and software development. Familiarity with working with large-scale datasets and big data techniques would be a plus.

What You'll Do:

  • 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.

What You Need to Succeed:

  • PhD or MS degree in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics or equivalent experience required
  • 0-2+ years of experience in specific skill/field(s)
  • Deep understanding of statistical modeling, machine learning, deep learning, or analytics 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 great teammate.

Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law.

Last updated 23 days ago

Responsibilities For 2025 University Graduate - Machine Learning Engineer

  • 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

Requirements For 2025 University Graduate - Machine Learning Engineer

Python
Scala
Java
  • PhD or MS degree in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics or equivalent experience required
  • 0-2+ years of experience in specific skill/field(s)
  • Deep understanding of statistical modeling, machine learning, deep learning, or analytics 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 great teammate

Benefits For 2025 University Graduate - Machine Learning Engineer

401k
Medical Insurance
  • Competitive salary range: $118,500 - $219,100 annually
  • Potential for long-term incentives in the form of a new hire equity award

Interested in this job?

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