Senior Machine Learning Engineer -Acrobat
San Jose, United States
Full Time Senior-level / Expert USD 162K - 301K
Adobe
Adobe is changing the world through digital experiences. We help our customers create, deliver and optimize content and applications.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!
- Contribute to the backend services that power ML and Generative-AI features.
- Design, develop, implement and evaluate machine learning models using classical and deep learning approaches, as well as GenAI
- Collaborate with cross-functional teams to integrate ML solutions into existing products and services
- Analyze and improve efficiency, accuracy, scalability, and stability of AI enabled workflows
- Stay current with the latest advancements in ML and AI technologies
- Mentor junior team members and contribute to the overall growth of the ML team
- Master’s or Ph.D. in Computer Science, Machine Learning, or a related field
- 5+ years of experience in machine learning engineering roles
- Strong software engineering skills, including version control, code review, and CI/CD practices
- Strong proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, scikit-learn, Sagemaker
- Experience in developing and deploying ML models in production environments
- Familiarity with cloud platforms (e.g., AWS, GCP, Azure) for ML deployment
- Strong understanding of data structures, algorithms, and system design
- Strong leadership and team-building skills.
- Excellent communication and presentation skills.
- Experience with Generative AI technologies and applications is a plus
- Knowledge of Retrieval-Augmented Generation (RAG) and other modern NLP techniques is a plus
- Familiarity with MLOps practices and tools is a plus
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.
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.Adobe is proud to be an Equal Employment Opportunity and affirmative action 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.
Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.
Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.
Tags: AWS Azure CI/CD Computer Science Data pipelines Deep Learning Engineering GCP Generative AI Machine Learning ML models MLOps NLP Pipelines Prompt engineering Python PyTorch RAG SageMaker Scikit-learn TensorFlow
Perks/benefits: Career development Equity / stock options Startup environment
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.