Senior Machine Learning Engineer- L40

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!

 

Job Summary:

We are looking for a highly skilled Senior Machine Learning Engineer to develop advanced ML algorithms and apply Generative AI to build agentic systems that drive intelligence in our products and systems. You will craft, program, and optimize coordinated software algorithms for structured and unstructured environments while building scalable AI systems. Your work will enable data-driven actionable insights, enhance product performance, and leverage Generative AI and Machine Learning to build AI agentic systems that provide insights and suggest actions for Journey Optimization.

THIS ROLE IS IN OFFICE IN OUR SAN JOSE LOCATION******

Key Responsibilities:

• Architect and build robust, scalable AI systems that support AI agentic processes, enabling dynamic decision-making and personalized user experiences.
• Leverage machine learning techniques such as decision trees, logistic regression, Bayesian analysis, and deep learning to build predictive and prescriptive models.
• Apply deep learning and Generative AI technologies to enable advanced capabilities in Marketing Software, focusing on AI-driven Journey Optimization.
• Develop end-to-end pipelines for training, deploying, and maintaining machine learning models in production environments.
• Develop and program coordinated software algorithms for data analysis and decision-making in both product design and system improvement projects.
• Ensure system reliability, performance, and scalability through testing, debugging, monitoring, and documentation.
• Collaborate with cross-functional teams to integrate AI-driven insights into products and systems, ensuring seamless deployment and performance.
• Stay updated with the latest advancements in artificial intelligence, machine learning, and Generative AI to continuously improve technological capabilities.

Required Qualifications:

• Master’s Degree or equivalent experience in Computer Science, Machine Learning, Artificial Intelligence, or a related field, with 2+ years working on Data Science, Machine Learning, and Agentic systems using Generative AI.
• Strong experience in programming languages such as Python, R, Java, Scala.
• Hands-on experience with machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn.
• Proficiency in working with large-scale data analysis systems and cloud computing frameworks.
• Experience in statistical modeling, predictive analytics, and deep learning techniques.
• Strong problem-solving skills and the ability to translate complex algorithms into efficient code.
• Excellent communication skills and ability to work collaboratively in a team environment.
• Solid understanding of system architecture and distributed systems.
• Experience with containerization and orchestration technologies like Docker and Kubernetes.
• Familiarity with CI/CD pipelines and infrastructure as code tools.
• Proven ability to build and maintain scalable microservices and integrate AI models into cloud-based infrastructures.

Preferred Qualifications:

• Experience in applying Generative AI to build AI agentic systems, with a focus on Building AI Agents.
• Knowledge of distributed computing frameworks such as Spark and Hadoop for large-scale data processing.
• Familiarity with deploying and maintaining machine learning models in production environments.
• Understanding of AI-driven decision-making systems, reinforcement learning, and multi-agent systems.
• Experience in building scalable microservices and integrating AI models into cloud-based infrastructures.

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 $142,700 -- $257,600 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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