Machine Learning Engineer - Agents

Requirements

• MS/PhD in Computer Science or related area
• 5+ years relevant work experience in Machine Learning / AI / ML Engineering
• Demonstrated experience researching, building, or studying systems where multiple agents interact
• Extensive development experience, preferably in a ML/AI technology environment
• Experience with using cloud services, big data pipelines, and databases in an industrial setting
• Experience in Natural Language Processing (NLP) and industrial recommender systems

What you'll be doing

• Design & Architect Multi-Agent Ecosystems: Build and evaluate robust, multi-step agentic systems on a variety of customer-facing surfaces
• Collaborate with World-Class Experts: Work with a team of applied researchers and engineers
• Advance Orchestration Research: Investigate and implement brand new techniques in agent interaction patterns
• Solve Agentic Scale Challenges: Address unique challenges inherent to multi-agent production systems
• Drive Marketplace Impact: Work with massive datasets of unstructured, multimodal inventory data

Nice to haves

• N/A

Perks and benefits

• N/A