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!

 

Key Responsibilities: 

• Design and implement reusable and scalable training framework that supports different deep learning models in large-scale and distributed environments. 
• Design, architect, implement, and optimize the various components of the training framework, primarily using Python, PyTorch, used by numerous internal users. 
• Collaborate closely with ML Researchers and Machine Learning engineers to accelerate the training of the cutting-edge ML models. 
• Lead projects from scoping requirements to launch, ensuring ongoing support. 
• Identify and resolve usability, extensibility, scalability issues specific to the framework. 
• Stay updated with the latest test, development, and deployment practices, and actively share knowledge with the team and community. 

What you need to succeed: 

•  Master's degree or above in Computer Science or a related field, or equivalent practical experience 
• Strong proficiency in Python and PyTorch 
• Solid foundation in computer science fundamentals 
• Experience with distributed training and its common strategies 
• Experience working with large and complex code bases, employing API design techniques to maintain clean and maintainable code. 
• Excellent communication and collaboration skills 
• Think creatively about troubleshooting, debugging, and solving complex, hard-to-reproduce problems. 

 Nice to have: 

• Proficiency in SDK development and architecture 
• Familiarity with container orchestration technologies like Kubernetes and EC2 

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 $97,700 -- $195,700 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 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.
 

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