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

Organization Adobe
Industry Engineering Jobs
Occupational Category Machine Learning Engineer
Job Location San Jose,USA
Shift Type Morning
Job Type Full Time
Gender No Preference
Career Level Experienced Professional
Experience 5 Years
Posted at 2025-03-06 9:14 am
Expires on 2025-04-20