Machine Learning Engineer

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!

The Opportunity
Adobe Stock's content Intelligence team sits at the heart of Adobe's creative ecosystem. Our mission is to apply machine learning to better understand the creative content that flows through Adobe Stock, Behance, and onto Adobe Firefly. Adobe is home to one of the largest repositories of professional creative content in the world and content intelligence is central to best serving the world's creatives.

What You'll Do
As a Machine Learning Engineer you will lead the design of ML models and systems. You will work closely with product and engineering management to align technical requirements and opportunities with product goals. You will be expected to provide technical guidance across team projects and help foster a collegial environment that keeps pace with innovative developments in the field.

What You Need to Succeed

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

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.

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