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:

Digital Video Audio (DVA) group’s portfolio consists of best-in-class products across desktop, mobile and cloud catering to professional customers. Some of the products and services that the team develops includes Adobe Premiere Pro, Video Cloud Services, Video Web Applications etc.

We're seeking a seasoned Machine Learning Engineer with 3+ years of experience to join our innovative Video/Audio AI and Generative AI team. In this position, you'll be at the forefront of developing and optimizing ML models for video applications across different platforms. Your expertise in model training, evaluation, and profiling will be critical in pushing the boundaries of AI technology and delivering high-quality, performant solutions to our users.

What You'll Do:

• Lead the development and optimization of machine learning models for Video/Audio applications
• Design and implement efficient model training pipelines, leveraging state-of-the-art techniques
• Conduct detailed model evaluations to ensure high-quality performance across various metrics
• Apply strong data science expertise to extract insights and drive model improvements
• Perform model profiling for both on-device and service for quality and performance optimization
• Collaborate with cross-functional teams to integrate ML models into production systems
• Stay current with the latest advancements in AI/ML and propose innovative solutions
• Mentor junior team members and contribute to the growth of the AI team
  
  

What You Need to Succeed:

• Bachelor's degree or equivalent experience in Computer Science, Machine Learning, or a related field. Or equivalent practical experience
• 3+ years of experience in machine learning engineering, with a focus on deep learning and neural networks
• Proven track record in developing and deploying ML models for AI and/or Generative AI projects
• Domain knowledge in video or audio processing, including familiarity with relevant algorithms, formats, and codecs
• Strong programming skills in Python and familiarity with ML frameworks such as TensorFlow or PyTorch
• Extensive experience with model training, hyperparameter tuning, and performance optimization
• Solid understanding of computer vision algorithms and techniques
• Proficiency in data analysis, feature engineering, and statistical modeling
• Experience with on-device model optimization and deployment
• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment
• Strong communication skills to effectively present technical concepts to both technical and non-technical stakeholders
  
  

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.