Senior ML Engineer – AI Search Platform

Location: San Francisco, CA
Company: Series C AI Search Unicorn

Revolutionize how the world discovers information through AI-powered search that delivers precise answers instead of endless links. With over $1B raised from Jeff Bezos, Nvidia, and leading VCs, we’ve rapidly grown to serve millions of monthly users while sparking industry-wide transformation of internet search. Our conversational answer engine represents a fundamental shift from traditional keyword searching to intelligent, context-aware information retrieval that puts users first. As we launch our $50M venture fund and explore strategic partnerships including potential TikTok collaboration, we’re positioned at the epicenter of the search revolution, challenging decades-old paradigms with AI that understands intent and delivers knowledge directly to users.

What You’ll Do:

• Build and optimize large-scale retrieval systems for real-time information processing
• Develop ranking algorithms that balance relevance, recency, and source credibility
• Create ML models for query understanding, intent classification, and answer generation
• Design and implement A/B testing frameworks for search quality improvements
• Research novel approaches for multimodal search and knowledge synthesis

Requirements:

• MSc/PhD in Computer Science, Machine Learning, or related field
• 5+ years experience with information retrieval, search engines, or recommendation systems
• Strong background in transformer models, embedding techniques, and vector databases
• Experience with large-scale distributed systems and real-time data processing
• Knowledge of search evaluation metrics and experimental design

What We Offer:

• $200k-$280k base + equity in a unicorn transforming search
• Work on cutting-edge AI research with immediate global impact
• Collaborate with world-class team including former OpenAI and Meta researchers
• Access to massive datasets and computational resources for experimentation