Machine Learning Engineer 5

Adobe is seeking a Staff Machine Learning Engineer to join their Real-Time CDP Collaboration team. This role focuses on building foundational data management and query processing capabilities, with an emphasis on supporting audience overlap, expansion, and measurement operations in a privacy-safe manner. The ideal candidate will work with an exceptionally talented team to innovate in designing and implementing statistical data representations, tackle complex data management & query evaluation challenges, and build highly performant services.

Key Responsibilities:

• Collaborate with engineers & product managers to build privacy-safe data management and query processing capabilities
• Innovate in designing and implementing probabilistic data representations for interactive queries
• Extend architecture and implementation to support newer classes of collaboration queries
• Improve system performance to scale with evolving workload requirements
• Deploy production services and iteratively improve them based on customer feedback
• Participate in the entire lifecycle including architecture, design, coding, reviews, and validation

Requirements:

• Ph.D. in Computer Science or a related field
• 8+ years of experience in applied AI/ML to solve data challenges
• Deep understanding of statistical modeling, machine learning, and deep learning
• Experience in solving technical problems in data privacy and conversational systems (preferred)
• Strong programming skills with extensive experience in Java or Python
• Proven track record of innovation and sharing insights through publications and patents
• Excellent problem-solving, analytical, and communication skills
• Adaptable to evolving priorities and able to learn new technologies
• Ability to think through solutions from both short-term and long-term perspectives

Adobe offers a competitive compensation package, with a salary range of $150,700 - $284,400 annually, depending on job-related knowledge, skills, and experience. The company also provides comprehensive benefits and potential for long-term incentives in the form of equity awards.