2027 University Graduate - Machine Learning Engineer

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

The Opportunity

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. Partnering 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 in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics or equivalent experience required with an expected graduation date of 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, 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 strong team player.

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next