PhD Fall Machine Learning Intern (ATG — Visual, Multimodal, and Recommender Systems)
San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US; New York, NY, US
USD 145K-145K Entry-level Internship
Tasks
- Build and deploy production ML systems
- Conduct algorithmic research for recommendation and computer vision
- Contribute to ML and AI research
- Debug issues and summarize technical context
- Develop and launch user features using ML
- Execute tasks with minimal guidance
- Perform training and inference
- Prototype and experiment with AI tools and agents
- Validate AI outputs through testing and code review
- Write clean, efficient, and sustainable code
Perks/Benefits
Skills/Tech-stack
Agentic Workflows | C++ | Computer Vision | Data Engineering | Generative AI | Java | Language Models | Language Processing | Large Language Models | MLflow | Machine Learning | Model Inference | Model Training | Natural Language | Natural Language Processing | Prompt engineering | PyTorch | Python | Recommendation Systems | Reinforcement Learning | Representation Learning | TensorFlow
Education
Roles
Regions
Countries
States
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