Machine Learning Engineer
Description For Machine Learning Engineer
Adobe is seeking a talented Machine Learning Engineer to join their Search, Discovery, and Content AI Team. This role is crucial in driving customer success for Adobe Express, Creative Cloud, and Document Cloud through AI-powered search, recommendations, and generative AI-based guidance. The team is building a new search, recommendations, and knowledge graph platform that powers multiple Adobe product lines, serving millions of users and billions of entities.
The role focuses on developing innovative search, recommendations, and assistive experiences using generative AI technologies across all modalities, including text, image, and videos. You'll be working on creating industry-leading experiences to improve creative efficiency for creators, marketers, and designers.
As a Machine Learning Engineer, you'll be responsible for researching and implementing cutting-edge ML models, fine-tuning LLMs and diffusion models, and developing robust evaluation methods. You'll work with multimodal data to process user intent and provide contextual assistance through recommendations and generated artifacts.
Adobe offers a competitive compensation package that reflects the cost of labor across U.S. geographic markets, along with potential equity awards and comprehensive benefits. The company is committed to creating exceptional employee experiences and values diversity and inclusion.
This is an opportunity to make a significant impact in a fast-paced, startup-like environment within an industry-leading company that's changing the world through digital experiences. You'll be at the forefront of applying AI technologies to creative applications, working with state-of-the-art models and technologies to enhance Adobe's product ecosystem.
Responsibilities For Machine Learning Engineer
- 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 contextual bandits or reinforcement learning
- Fine-tune LLMs and Diffusion models to build and augment creative knowledge graph
- Process Multimodal (Text, Image, Video) intent and contextually assist users
- Develop robust methods to evaluate LLM performance
- Align text, visual and other modalities by fine-tuning Transformer-based models
Requirements For Machine Learning Engineer
- Masters or PhD degree in computer science, statistics, engineering, or related field
- 5+ years of relevant industry experience
- Proficiency in Python, PyTorch, CI/CD pipelines and API development
- Experience with Transformers, LLMs, and classical ML algorithms
- Knowledge of online learning and recommendation systems
Benefits For Machine Learning Engineer
- Competitive salary based on geographic location
- Medical, dental, and vision insurance
- 401k benefits
- Equity awards
- Annual Incentive Plan
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