Senior Machine Learning Engineer, GenAI Quality

$250,900 - $250,900/Yr

Adobe - San Jose, CA

Full-time

San Jose, CA

Publishing Industries

About the position

The position involves working with Adobe's Firefly AI models to enhance content creation across Adobe's suite of creative applications. The role is strategic and impactful, focusing on developing image and video pipelines, ensuring quality validation, and collaborating with a machine learning team to drive advancements in generative AI.

Responsibilities

• Craft and develop image and video pipelines to deliver high-quality results across Adobe's suite of creative applications.
• Collaborate within a fast-paced machine learning team, ensuring effective communication and clear decision-making.
• Define and implement generative image and video quality validation protocols and automation frameworks, ensuring performance and reliability.
• Develop test plans for new and existing features, report bugs, and collaborate with developers to resolve issues.
• Stay current with trends in generative AI, particularly image and video quality advancements.
• Troubleshoot image quality issues, developing solutions to maintain the highest standards.
• Work closely with Product Managers and Application teams to share issues, regressions and updates on a timely basis.
• Advocate for customer needs throughout the development process.

Requirements

• Master's degree or equivalent experience in Imaging or Color Science, Computer Science, Electrical Engineering, Mathematics, or a related field.
• Proficiency in programming languages such as Python or C++.
• Strong background in image processing and computer vision; experience with software like OpenCV preferred.
• Strong dedication to quality, with meticulous attention to detail.
• Deep understanding of software testing methodologies and practices.
• Great teammate with excellent communication skills, capable of collaborating across various locations.

Benefits

• Competitive salary range of $135,200 -- $250,900 annually based on location and experience.
• Short-term incentives in the form of the Annual Incentive Plan (AIP).
• Potential eligibility for long-term incentives in the form of a new hire equity award.