Software Development Engineer- AI/ML

Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. 

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

 

The Opportunity: Adobe Document Cloud’s AI team seeks a Senior Software Engineer to enhance our next generation of AI-driven features. Our scale spans billions of PDFs and millions of transactions monthly. Join the core team managing the central repository supporting all feature development and backend services for the Acrobat AI Assistant. This role is pivotal in fostering rapid feature development and building production-ready componentry invoked countless times daily to serve our customers. We support features like question-answering (QA), suggested and related questions, attributions, document summaries, and more.Our most recent public features include Liquid Mode, allowing a flawless reflow experience for PDFs on phones and tablets; PDF Extract API for unlocking the structure and content elements of any PDF; Table Decomposition feature in Liquid Mode; and now new generative AI features. All products are driven by AI. Our solutions are deployed on mobile devices, in the cloud, and on desktop.

What You’ll Do:

• Design, build, and maintain scalable and efficient code solutions for the Acrobat AI Assistant.
• Develop and review specifications for safe client-service contracts, ensuring clear, concise, and secure interactions.
• Implement best practices in code layering and modular design for robust and maintainable codebases.
• Conduct detailed reviews of pull requests and debug complex service integration issues.
• Lead the coordination and execution of service releases, ensuring they meet rigorous production standards.
• Work closely with feature teams to facilitate effective communication and knowledge sharing.
• Accelerate engineering productivity by empowering your fellow engineers with excellent tooling and systems.
• Build and provide operational support for globally deployed systems, powering some of the most advanced products in the market.

What You’ll Need to Succeed:

• B.S., M.Sc., or Ph.D. in Computer Science or equivalent practical experience with 5+ years of experience.
• Strong experience in software development, particularly in backend infrastructure, with a focus on code layering and architectural best practices.
• Proficiency in designing and implementing concurrent and asynchronous systems using languages such as Python, JavaScript (Node.js), or Go.
• Familiarity with integrating language models within a feature pipeline.
• Strong understanding of event-driven architectures and non-blocking I/O operations.
• Understanding of OOP principles such as encapsulation, inheritance, polymorphism, and abstraction.
• Familiarity with common design patterns (e.g., Singleton, Factory, Observer, Strategy).
• Proficiency in writing unit and integration tests for object-oriented systems. Strong debugging skills.
• Proficiency in Python, with the ability to write clean, unit-tested, and well-documented code using docstrings. Familiarity with frameworks such as LangChain and Pydantic is highly desirable.
• Familiarity with prompt engineering, vector search techniques, and similar AI/ML technologies.
• Experience or willingness to learn how to create and review specifications for client-service contracts.
• Strong interpersonal skills with the ability to lead, mentor, and work collaboratively in a fast-paced environment.
• A proactive approach to identifying and resolving technical challenges independently.
• Flexibility in high-pressure settings.

Nice to Have:

• Experience in developing and deploying machine learning models in production environments.
• Expertise in continuous integration/continuous deployment pipelines, particularly in cloud environments.
• Experience with building and maintaining large-scale data processing systems, with a strong understanding of technologies like Kafka and Spark.
• Familiarity with networking protocols and monitoring systems, as well as experience in developing and maintaining RESTful APIs.

Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $133,900 -- $242,000 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans.  Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

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 (as listed on the job posting), 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 this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts:

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.

 

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