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Staff AI Research Engineer

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Onsite

Staff AI Research Engineer

Sybill

Staff AI Research Engineer

Skills

PythonMachine LearningAI

2 months ago

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Important information


Contract type:

Permanent

Salary:

$240,000 – $280,000 / year

Location:

Mountain View, CA, USA

Work mode:

Onsite

Published on:

29 August 2026

What they need


  • As a Staff AI Researcher, you’ll architect and implement sophisticated agents and retrieval techniques that work across XX Million data points for every sales organization to power our sales co-pilot, making it feel like every seller has a seasoned sales mentor by their side.
  • You’ll drive continuous innovation by incorporating cutting-edge AI advancements, running rapid experiments, and iterating based on real user feedback to create truly magical experiences for our users
  • Architect end-to-end agentic systems that autonomously plan and orchestrate multi-tool workflows
  • Implement sophisticated retrieval systems that surface contextually relevant information in near real-time
  • Optimize and fine tune our vector databases and embeddings to solve for accurate domain understanding
  • Drive technical decisions and collaborate with product to build AI features that solve real user pain point
  • Build monitoring systems to track model performance, costs, and reliability metrics
  • Stay on top of the latest developments in AI and rapidly prototype new capabilities
  • Use modern developer tools like Cursor and CoPilot to maximize productivity- Strong software engineering foundation with expertise in Python and modern AI/ML infrastructure
  • Data-driven mindset with experience in designing metrics and evaluation frameworks for AI systems
  • Deep experience architecting end-to-end AI systems that combine multiple components; LLMs, hybrid search indexes (lexical, vector, and knowledge graphs) and agents
  • Strong user empathy and collaboration skills with the ability to work across product, engineering, and customer-facing teams
  • Track record of optimizing retrieval systems for both accuracy and performance at scale
  • Strong proficiency in modern AI infrastructure - vector databases, embedding models, agentic workflows (LangGraph, MCP etc.)
  • 5+ years of AI research experience, with at least 2 years focused on RAG and AI copilot systems
  • Advanced degree (MS/PhD) in Computer Science or related fields strongly preferred

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