about 3 hours ago
Base Salary
$200k - $275k/yr
Responsibilities
- Own the next-generation Search engine, integrating LLMs and deep personalization embeddings.
- Design and productionize natural language search and discovery systems.
- Lead model development and GPU-based deployment efforts.
- Mentor and grow senior Applied Scientists and MLEs.
Requirements
- 7+ years of experience building large-scale ML systems, including 3+ years in search or recommendation.
- Hands-on experience with deep learning libraries like PyTorch and vector search infrastructure.
- Strong track record of productionizing models that blend LLMs with structured features.
- Product-focused mindset with a bias toward execution.
- Strong Python skills and experience in high-stakes environments.
- Excellent communication and cross-functional influence.
Benefits
- Competitive pay, equity, and comprehensive benefits.
- Access to the latest enterprise AI tools.
- Opportunities for professional growth in a supportive team environment.
- Hybrid work model with flexibility to work remotely.