Advanced Machine Learning Engineer for Creative Content Analysis

6 days ago


San Francisco, California, United States Adobe Inc. Full time

About the Opportunity

As a Senior Machine Learning Engineer at Adobe Inc., you will play a crucial role in our content intelligence team, driving innovation and advancing our creative ecosystem.

We're on a mission to harness machine learning to better understand the vast amount of creative content flowing through Adobe Stock, Behance, and Adobe Firefly. With one of the largest repositories of professional creative content worldwide, we're committed to providing exceptional experiences for creatives globally.

Your Key Responsibilities

You will lead the design of ML models and systems, working closely with product and engineering management to align technical requirements and opportunities with product goals. You'll provide technical guidance across team projects and foster a collaborative environment that stays ahead of innovative developments in the field.

Requirements

  • A minimum of 5 years' experience in developing, evaluating, and deploying ML models into production environments.
  • Excellent communication and collaboration skills.
  • Strong knowledge of Python, Python-based ML and Data Science frameworks, and fluency in at least one deep learning framework such as PyTorch or TensorFlow.
  • Experience leading successful initiatives and working with research and product teams.
  • Familiarity with ML Ops and knowledge of ML services is a plus.
  • A Master's or PhD in computer science, statistics, operations research, applied physics, engineering, or a related quantitative field.

Compensation and Benefits

The estimated annual salary for this position is $154,000-$278,800, reflecting labor costs across several U.S. geographic markets. Our compensation packages are designed to recognize individual contributions and foster growth within the company.

At Adobe Inc., we value diversity, equity, and inclusion, providing equal employment opportunities to all qualified applicants regardless of gender, race, age, disability, religion, sexual orientation, or any other protected characteristic. We strive to create an inclusive work environment where everyone feels valued and respected.



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