Senior Machine Learning Engineer -Acrobat

Adobe Inc.; California, San Jose (MO, CA); On-site; USD 162,000 - 302,000; Full time

Job summary

An innovative firm is seeking a Machine Learning Engineer to drive the development of groundbreaking data-driven features. This role offers the opportunity to work on high visibility projects that leverage classical and deep learning techniques. You'll design and implement machine learning models, collaborate with cross-functional teams, and mentor junior members. Join a dynamic, fast-paced environment where creativity is encouraged, and your contributions will have a significant impact on the future of digital experiences. If you're passionate about technology and eager to make a difference, this role is perfect for you.

Qualifications

• 5+ years of experience in machine learning engineering roles.
• Strong software engineering skills, including version control and CI/CD practices.
• Experience with Generative AI technologies is a plus.

Responsibilities

• Contribute to backend services powering ML and Generative-AI features.
• Design, develop, and evaluate machine learning models.
• Collaborate with teams to integrate ML solutions into products.

Skills

Machine Learning

Deep Learning

Python

Software Engineering

Data Structures

Algorithms

Generative AI

Communication Skills

Education

Master's in Computer Science

Ph.D. in Machine Learning

Tools

TensorFlow

PyTorch

scikit-learn

Sagemaker

AWS

GCP

Azure

Job description

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!

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 you'll 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

• 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

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 $162,000 -- $301,200 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.

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 anEqual Employment Opportunityand 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.

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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.