2025 University Graduate - Machine Learning Engineer

$195,700 - $195,700/Yr

Adobe - San Jose, CA

Full-time - Entry Level

San Jose, CA

Publishing Industries

About the position

Adobe is seeking a Machine Learning Engineer who will leverage AI and machine learning techniques to tackle big-data challenges, enhancing the understanding and optimization of customer experiences. This role involves collaborating with various business units to develop products that address complex business problems throughout the customer lifecycle, from analytics to marketing media optimization. The engineer will engage in research and development projects that include attribution, media mix modeling, budget optimization, personalization, causal analysis, and time series analysis. The ideal candidate will possess a robust academic foundation and technical expertise in applied statistics, machine learning, data mining, and software development. Familiarity with large-scale datasets and big data techniques is advantageous. The role requires the development of predictive models using advanced statistical modeling, machine learning, and analytics techniques to solve diverse business problems. Additionally, the engineer will implement scalable algorithms suitable for production systems and collaborate with product management and engineering teams to innovate new products and features.

Responsibilities

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

Requirements

• MS degree in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics, or equivalent experience required.
• 0-2+ years of experience in relevant fields.
• Deep understanding of statistical modeling, machine learning, deep learning, or data mining concepts, with a proven track record of problem-solving using these methods.
• Proficient in one or more programming languages such as Python, Scala, Java, and C.
• Familiarity with machine learning or statistical modeling tools such as R, Matlab, and scikit-learn.
• Knowledge and experience working with relational databases and SQL.
• Strong analytical and quantitative problem-solving abilities.
• Excellent communication and relationship skills, demonstrating strong teamwork.

Nice-to-haves

• Familiarity with big data techniques and tools.
• Experience in developing products that utilize machine learning and statistical modeling.

Benefits

• Competitive salary range of $97,700 to $195,700 annually, depending on location and experience.
• Potential eligibility for long-term incentives in the form of a new hire equity award.
• Access to a comprehensive benefits package including health insurance, retirement plans, and paid time off.