Senior 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

As a Senior Machine Learning Engineer with the Adobe Unified Brand Services (UBS) team, you will build and productize novel multi-modal Generative AI-powered solutions through multi-functional partnerships with fellow engineers, product managers, designers, and marketers. By improving upon industry leading experiences, you will address key challenges that arise in marketing content creation at scale, for enterprises’ content supply chains.

We’re building something extraordinary! Our platform service delivers not only highly effective and intricate representations for crafting on-brand content but also provides robust tools to evaluate brand compliance across high-traffic Adobe surfaces, including Adobe GenStudio for Performance Marketers (GS PeM), Adobe Workfront, Adobe Experience Manager (AEM), and more.

At Adobe UBS, we believe in the power of human connection. By infusing an enterprise’s human element into multi-modal marketing communications across various channels and social media platforms, we enable businesses to forge and nurture lasting relationships and build trust with their customers. We recognize that each brand possesses unique preferences and distinctive qualities that dynamically harmonize with the surrounding marketing context in large volumes of multi-modal content.

We are seeking a passionate and driven ML engineer who thrives on challenges and brings deep expertise in generative AI technologies. Make a tremendous impact in our fast-paced, startup-like environment. Come create the future with us!

Responsibilities

Innovate, lead, design, implement, and deliver innovative algorithmic solutions and exciting new features for addressing business requirements.

Conduct analytical experiments using statistical techniques and large vision language model (LLMs, VLMs) research for generative modeling of trends and patterns in data.

Craft scalable code for building services involving deep ML algorithms, such as deep learning, in programming languages such as Python, Scala.

Directly engage with product managers and collaborators for implementing improvements to and optimizing operational systems for unparalleled scalability, efficiency, and performance.

Mentor data scientists and engineers and guide innovative ways.

Identify new product engagement opportunities by working closely with collaborators, customers, and team members.

What you need to succeed

• MS or PhD in computer science or equivalent experience required.
• 3+ years of work experience specializing in natural language processing, computer vision, machine learning, statistics, generative AI, or related field.
• In-depth understanding of probability, statistics and machine learning, NLP or computer vision techniques, and model architectures (e.g., transformers, diffusion models, LLMs, vision language models, etc.)
• Proficient in data structures, and algorithms, along with software engineering guidelines such as maintaining coding standards, conducting code reviews, testing, and handling build processes.
• Expert programming skills in Python, as well as familiarity with ML frameworks such as PyTorch.
• Experience in developing and deploying machine learning solutions such as large language models and building REST APIs to expose their outcomes to UI.
• Experience with cloud computing platforms such as Azure and AWS and containerization tools, e.g., Docker and Kubernetes.

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 12:01 AM 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.

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 position is $142,700 — $257,600 annually. Pay within this range varies by work location and 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 an Equal Employment Opportunity and 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.
 

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 accommodations@adobe.com or call (408) 536-3015.

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.