Senior Machine Learning Engineer

Adobe • San Francisco, CA

32d

About The Position

The Opportunity Adobe Stock’s Content Intelligence team is positioned at the center of Adobe’s creative ecosystem. Our mission is to employ machine learning to enhance our comprehension of the creative content that moves through Adobe Stock, Behance, and onto Adobe Firefly. Adobe boasts one of the largest pools of professional creative content worldwide, and content intelligence is pivotal in effectively catering to the world’s creatives. This outstanding opportunity allows you to be part of a world-class team dedicated to pushing the boundaries of machine learning and artificial intelligence to new heights. What You'll Do As a Senior Machine Learning Engineer on the Content Intelligence team, you will lead the development of ML models and systems, to assist with Content Understanding. You will work closely with product and engineering management to align technical requirements and opportunities with product goals.

Requirements

• 5+ years of industry experience in developing, evaluating, and deploying ML models into production.
• Strong knowledge of Python and Python-based ML and Data Science frameworks, with proficiency in at least one deep learning framework such as PyTorch or TensorFlow.
• Proven experience leading major successful initiatives.
• Experience working with both research and product teams to ensure seamless integration of new technologies.
• A degree in computer science, statistics, operations research, applied physics, engineering, or a related quantitative field.

Responsibilities

• Leading the development and improvement of machine learning models that fuel innovation.
• Collaborating with cross-functional teams to deliver ambitious projects on time.
• Providing technical guidance and mentorship to team members, encouraging a collaborative and inclusive environment.
• Staying current with the latest advancements in ML and AI to ensure our solutions remain at the forefront.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level