Machine Learning Engineer (San Jose)

JOB LEVEL
P40

EMPLOYEE ROLE
Individual Contributor

This role includes prompt engineering, system design, ML model assessment, building data pipelines, creation of prototypes, evaluation, operationalization. The ideal candidate will have a strong background in both classical and deep learning techniques, with the ability to develop and deploy production-ready machine learning solutions.

If you have a passion for shipping groundbreaking data-driven customer-facing features, learning new technologies every day, and working on high visibility projects with ample room for creativity, this might be a good fit for you. The work is dynamic, fast-paced, creative, collaborative and data-driven.

What youll do
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

What you need to succeed

Required Qualifications:
Masters 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

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 positionis $142,700 $257,600 annually. Paywithin this range varies by work locationand 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.

Internal Opportunities

Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. Were glad that youre pursuing a new opportunity at Adobe!

Put your best foot forward:

1. Update your Resume/CV and Workday profile dont forget to include your uniquely Adobe experiences and volunteer work.

2. Visit the Internal Mobility page on Inside Adobe to learn more about the process and set up a job alert for roles youre interested in.

3. Check out these tips to help you prep for interviews.

4. If you are applying for a role outside of your current country, ensure you review the International Resources for Relocating Employees on Inside Adobe, including the impacts to your Benefits, AIP, Equity & Payroll.

Once you apply for a role via Workday, the Talent Team will reach out to you within 2 weeks. If you move into the official interview process with the hiring team, make sure you inform your manager so they can champion your career growth.

At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If youre looking to make an impact, Adobes the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.

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.

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 or call (408) 536-3015.

Company:

Adobe

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Level of experience (years):

Senior (5+ years of experience)

Tagged as: Industry , Machine Learning , NLP , United States