about 2 hours ago
Base Salary
$211k - $291k/yr
Responsibilities
- Build next-generation search ranking algorithms using deep learning and machine learning.
- Leverage LLM to extract multimodal signals for user profiling.
- Collaborate with teams to experiment and improve ML models for search ranking.
- Design and productionize natural-language search and discovery systems.
- Share best practices in deep learning model development and MLOps.
Requirements
- 5+ years of industry experience in building large-scale ML models.
- 3+ years of experience in search, recommendation, or ads ranking.
- Master’s or PhD in Computer Science, Statistics, or a related STEM field.
- Strong programming skills in Python, Java, or equivalent.
- Hands-on experience with deep-learning libraries and big data technologies.
- Deep understanding of machine learning best practices and algorithms.
- Product-focused mindset with a bias toward execution.
- Excellent written and verbal communication skills.
Benefits
- Competitive pay and equity.
- Comprehensive benefits supporting work-life balance.
- Access to the latest enterprise AI tools.
- Opportunities for professional growth and development.
- Flexible hybrid work arrangements.