about 7 hours ago
Responsibilities
- Define the technical architecture for an AI-driven business applications platform.
- Evaluate LLMs and multimodal systems for product use.
- Design and build the pipeline from business signals to model inference.
- Build production-grade systems with strong error handling and validation.
- Collaborate with cross-functional teams to iterate based on feedback.
- Drive technical decisions that influence revenue impact and product quality.
Requirements
- Bachelor's degree in Computer Science or a related field.
- Experience building recommendation or decisioning systems in advertising or media.
- Strong understanding of modern LLMs and agentic systems.
- Solid experience with LLM and multi-agent pipelines.
- Experience deploying ML systems in production.
- Hands-on experience with modern ML frameworks like PyTorch.
- Experience designing evaluation approaches for recommendation systems.
- Strong software engineering fundamentals in Java or Python.
- Ability to translate ambiguous business requirements into technical solutions.
Benefits
- Comprehensive benefits including mental health and financial wellness support.
- Healthcare options including medical, dental, and vision.
- Retirement options such as 401(k)/pension.
- Support for taking time off according to local leave policies.