Principal Machine Learning Engineer (Memory & Context)

📋 Description

• Architect agent memory systems
• Lead context engineering
• Build and deploy AI agents
• Develop evaluation frameworks
• Advance AI innovation
• Drive technical leadership

🎯 Requirements

• Master's degree or higher in Computer Science, Electrical Engineering, or a related technical
• At least five years of experience deploying large-scale machine learning systems, including at
• Hands-on expertise building AI agents, including orchestration, prompt engineering and
• Demonstrated experience evaluating agentic systems and applying evaluation results to improve their
• Strong proficiency in Python and familiarity with agentic AI frameworks such as LangGraph, Agents
• A proven track record of influencing technical direction across multiple teams, leading complex

🎁 Benefits

• Competitive base salary: $209,400–$334,600 annually in California, Connecticut, Maryland
• Equity awards: Eligibility for additional equity compensation
• Remote work flexibility: Fully remote position for eligible U.S.-based employees
• High-impact technical work: Opportunities to build and scale advanced AI systems
• Innovation-driven environment: Work with emerging LLM technologies, agentic AI architectures
• Career growth and leadership: Opportunities to shape technical strategy, lead cross-functional