Senior Machine Learning Engineer

Adobe’s Search, Discovery & Content AI (SDC) team is seeking a Senior Machine Learning Engineer to design, develop, deploy, and optimize large-scale machine learning systems that support generative AI and content understanding and discovery for millions of users. This onsite role in San Jose, CA focuses on end-to-end system design, scalable GPU-optimized modeling, and building durable ML infrastructure in close collaboration with product and engineering stakeholders.

Responsibilities

• Define and develop end-to-end machine learning systems using innovative architectures.
• Develop and implement scalable, GPU-optimized modeling algorithms that can handle large-scale data in production environments.
• Build and maintain high-performance, scalable, and maintainable platform capabilities across the full ML pipeline.
• Collaborate with architects, product management, and engineering teams to convert product requirements into technical solutions.
• Design and develop runtimes and libraries for emerging machine learning technologies to help keep technical direction current.
• Produce detailed requirements and design documentation for features spanning the technology stack.

Requirements

• PhD or master’s degree in computer engineering, computer science, computer vision, robotics, or a related field, or equivalent experience.
• Strong understanding of generative AI, deep learning, computer vision, and recommendation systems, with evidence of applying these methods to solve complex problems.
• Proficiency with machine learning frameworks and tools including Scikit-learn, Hugging Face, PyTorch, and PyTorch Lightning.
• Expertise with cloud technologies, Docker, and containerization.
• Experience with AWS, Microsoft Azure, or equivalent cloud platforms.
• Proficiency in one or more programming languages, including Python, C++, Java, and Rust.
• Exceptional analytical and quantitative problem-solving skills.
• Excellent communication, interpersonal, and relationship-building skills.
• Demonstrated ability to thrive in a collaborative team environment.

Technologies

• Scikit-learn
• Hugging Face
• PyTorch
• PyTorch Lightning
• Docker
• AWS
• Microsoft Azure
• Python
• C++
• Java
• Rust

Compensation and Pay Range

• U.S. pay range: USD 151,800 - 265,350 per year.
• California pay range: USD 183,300 - 265,350 per year.
• Non-sales roles are expressed with base salary, and short-term incentives are provided via the Annual Incentive Plan (AIP).
• Certain roles may also be eligible for long-term incentives in the form of a new hire equity award.

AI Use Guidelines for Interviews

• The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation.
• If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

State-Specific Notices

• California: Fair Chance Ordinances. Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
• Colorado: Application Window Notice. If this role is open to hiring in Colorado, the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If Colorado is not listed, no specific application window applies, and the posting may close based on hiring needs.
• Massachusetts: Massachusetts Legal Notice. In Massachusetts, it is unlawful to require or administer a lie detector test as a condition of employment or continued employment.