2027 University Graduate - Machine Learning Engineer
About The Position
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 complex business challenges across the entire 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 in areas such as attribution, media mix modeling, budget optimization, personalization, causal analysis, and time series analysis. The ideal candidate possesses a strong academic background and technical skills in applied statistics, machine learning, data mining, and software development, with familiarity in large-scale datasets and big data techniques being a plus.
Requirements
- 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.
Nice To Haves
- Familiarity with working with large-scale datasets and big data techniques would be a plus.
Responsibilities
- 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.
Benefits
- comprehensive benefits programs
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
