Box
Technology
MachineLearningEngineerIII,CoreAgents
Neural analysis suggests this role is
optimal for Senior candidates.
“Machine Learning Engineer III, Core Agents at Box. Skills: Machine learning, AI agents, Information retrieval, Natural language processing. Build foundational agents. Evaluate foundational agents”
What You'll Achieve.
Improve accuracy and relevance; Ensure measurable improvements
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
3+ years industry experience, BS degree in Computer Science, Proficiency in Python, Experience designing ML models, Experience evaluating ML models, Familiarity with retrieval systems, Familiarity with ranking models, Familiarity with RAG pipelines, Familiarity with intent classification
Nice to Have
Advanced degree preferred, LangChain experience, LangGraph experience, LLMs familiarity, Embeddings familiarity, Semantic search familiarity, Indexing familiarity, Relevance optimization familiarity, Vertex AI experience, AWS Bedrock experience, SageMaker experience, Kubernetes experience, Generative AI evaluation experience
What You'll Do.
Build foundational agents
Evaluate foundational agents
Evolve foundational agents
Develop intent detection techniques
Develop query understanding techniques
Develop ranking techniques
Develop RAG techniques
Define agent quality metrics
Define evaluation pipelines
Define agent quality benchmarks
Research retrieval best practices
Research orchestration best practices
Research multi-agent workflow evaluation
Design core components
Enable agent deployment
Ensure measurable improvements
Contribute to technical discussions
Share research insights
How You'll Work.
Team & Collaboration
Platform engineers; Product teams
Full Job Description
WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU AI is transforming how enterprises work, and Box is building an enterprise-grade Agents Platform at the core of the Box Content Cloud. Our platform, built on LangGraph, enables teams across Box and our customers to design, deploy, and operate AI agents that handle real-world enterprise workflows—from content understanding and generation to intelligent metadata, automation, and complex, multi-step orchestrations. As a founding ML Engineer on the Core Agents team, you will build and evaluate the foundational agents that power the Box AI ecosystem, including DeepSearch, DeepResearch, Extract, and Compose. You’ll design techniques for intent detection, ranking, evaluation, retrieval-augmented generation (RAG), and multi-agent orchestration, while als
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