Adobe is seeking a Machine Learning Engineer to join their innovative team focused on applying AI and machine learning techniques to solve complex business challenges. This role offers an exciting opportunity for recent graduates to work on cutting-edge projects in customer analytics and marketing optimization.
The position involves developing predictive models and implementing scalable algorithms that work with large-scale datasets in production systems. You'll be working on fascinating projects including attribution, media mix modeling, budget optimization, personalization, and causal analysis.
As a Machine Learning Engineer at Adobe, you'll collaborate closely with product management and engineering teams to develop new products and features. The role requires a strong foundation in statistical modeling and machine learning, combined with practical programming skills.
Adobe offers a competitive compensation package that reflects the cost of labor across several U.S. geographic markets. The role comes with opportunities for both short-term incentives through the Annual Incentive Plan (AIP) and potential long-term incentives in the form of equity awards.
The ideal candidate will have advanced education in a relevant field such as Computer Science or Statistics, with a deep understanding of machine learning concepts and practical experience with programming languages and tools. You'll be joining a company that's passionate about empowering people to create exceptional digital experiences and is committed to creating an inclusive workplace where new ideas can come from anywhere in the organization.
This is an excellent opportunity for someone looking to apply their machine learning expertise in a practical, impactful way while working with cutting-edge technology at a company that's leading the digital experience revolution.