AI Research Engineer, Language - Reality Labs Multimodal AI Assistant Team
Tasks
- Analyze debug and optimize code and systems for quality performance reliability and cost
- Architect scalable systems for AI enabled features
- Build and integrate LLM generative AI capabilities into product surfaces
- Collaborate with cross functional teams to build AI application experiences
- Design agentic workflows to automate tasks
- Develop reusable components for model serving and inference layers
- Drive end to end execution of features
- Establish ownership of components, features, or systems
- Establish quality practices for AI outputs including evaluation monitoring and feedback loops
- Implement retrieval-augmented generation patterns
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | Agentic Workflows | C# | C++ | Code review | Computer Vision | Data Mining | Debugging | Evaluation | Inference | Java | JavaScript | Language Models | Large Language Models | Machine Learning | Model Serving | Monitoring | Pattern Recognition | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | Structured prompting | TensorFlow | Unit Testing
Education
Bachelor of Engineering | Bachelor of Engineering in Computer Engineering | Bachelor of Science | Bachelor of Science in Computer Science
Roles
AI | AI Research Engineer | Engineer | Research Engineer | Software Engineer
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