Senior Machine Learning Engineer
Description For Senior Machine Learning Engineer
Adobe is seeking a Senior Machine Learning Engineer to join their Unified Brand Services (UBS) team. This role offers an exciting opportunity to work on cutting-edge multi-modal Generative AI solutions that enhance marketing content creation at scale.
The position involves developing and productizing innovative machine learning capabilities using Generative AI, Computer Vision, and NLP skills. You'll be working with various Adobe products including Adobe GenStudio, Adobe Workfront, and Adobe Experience Manager.
The ideal candidate should have strong expertise in machine learning, particularly in areas like natural language processing, computer vision, and generative AI. Key technical requirements include proficiency in Python, experience with ML frameworks like PyTorch, and familiarity with cloud platforms such as Azure and AWS.
This role offers the chance to make significant impact in a fast-paced, startup-like environment while working with a multi-functional team of engineers, product managers, and marketers. You'll be responsible for designing and implementing algorithmic solutions, conducting analytical experiments with large vision language models, and identifying new product engagement opportunities.
The compensation range is competitive ($142,700 - $257,600 annually) and varies based on geographic location within the US. Adobe is committed to creating exceptional employee experiences and values diversity and inclusion. The company offers comprehensive benefits and opportunities for professional growth within a leading technology company that's changing the world through digital experiences.
Responsibilities For Senior Machine Learning Engineer
- Design, implement, and ship innovative algorithmic solutions
- Conduct analytical experiments using statistical techniques and large vision language models
- Craft scalable code for building services involving deep ML algorithms
- Identify new product engagement opportunities
- Build and productize novel multi-modal Generative AI-powered solutions
Requirements For Senior Machine Learning Engineer
- MS or PhD in computer science or equivalent experience required
- 3+ years of work experience in NLP, computer vision, machine learning, statistics, or generative AI
- In-depth understanding of probability, statistics, ML techniques, and model architectures
- Expert programming skills in Python and ML frameworks like PyTorch
- Experience with cloud computing platforms like Azure and AWS
- Experience in developing and deploying ML solutions and building REST APIs
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