Machine Learning Engineer

Description:

We focus on developing innovative search, recommendations, and assistive experiences using generative AI technologies across all modalities, including text, image, and videos, and create industry-leading experiences to improve creative efficiency for creators, marketers, and designers.

We’re looking for a top-notch ML engineer with deep expertise in generative AI technologies. This is an opportunity to make a huge impact in a fast-paced, startup-like environment in a phenomenal company. Join us!

Responsibilities :
 

• Research, develop and implement ML models using Transformers, LLMs, and classical ML algorithms for search and recommendation use cases
• Design and implement online learning for recommendations with the help of contextual bandits or reinforcement learning
• Be proficient in Python, Pytorch, CI/CD pipelines and API development
• Fine-tune LLMs and Diffusion models to build and augment a creative knowledge graph and use it to recommend billions of images, videos, documents, and other assets in real time.
• Conduct innovative research on novel LLM architectures and training methods, focusing on creative applications
• Process Multimodal (Text, Image, Video) intent and contextually assist the user by recommending ingredients and generating rich artifacts to enable a detailed creative path.
• Align text, visual and other modalities by fine-tuning Transformer-based models for the creative domain
• Develop robust methods to evaluate LLM performance, ensuring ethical AI practices that reflect Adobe’s standards
• Masters or PhD degree with experience in computer science, statistics, engineering, or other relevant subject area is highly preferred
• 5+ years of relevant industry experience required