Machine Learning Engineer

About the Role

Adobe is seeking a Machine Learning Engineer to apply AI and machine learning techniques to big-data problems, aiming to enhance customer understanding, leadership, and experience optimization. This role involves partnering with business units to build products that address business challenges across the customer lifecycle, from analytics to marketing media optimization. The engineer will utilize statistical and econometric methods, predictive models, experimental design, and optimization techniques for research and development on projects such as attribution, media mix modeling, budget optimization, personalization, causal analysis, and time series analysis.

Key Responsibilities

• Develop predictive models on large-scale datasets using advanced statistical modeling, machine learning, and analytics techniques to address various business problems.
• Develop and implement scalable and efficient modeling algorithms for production systems that can handle large-scale data.
• Collaborate with product management and engineering groups to develop new products and features.

Requirements & Tech Stack

• PhD or MS in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics or equivalent experience.
• Expected graduation date: 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.
• Proven track record of solving problems with these methods.
• Proficient in one or more programming languages: Python, Scala, Java, C.
• Familiarity with one or more ML/statistical modeling tools: R, Matlab, scikit-learn.
• Knowledge and experience working with relational databases and SQL.
• Strong analytical and quantitative problem-solving ability.
• Excellent communication and relationship skills.
• Strong team player.
• Familiarity with working with large-scale datasets and big data techniques is a plus.

Qualifications

• PhD or MS in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics or equivalent experience.
• Expected graduation date: 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.
• Proficient in one or more programming languages: Python, Scala, Java, C.
• Familiar with one or more machine learning or statistical modeling tools: R, Matlab, 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.