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 also establishing metrics and evaluation frameworks to measure agent quality.

Your work will shape how agents retrieve, reason, and act on enterprise content with high accuracy and trustworthiness. You'll collaborate closely with platform engineers to build the core components of the Agents Platform that enable these agents to run at scale, while also empowering other Box teams and customers to configure and customize agents for their workflows.

WHAT YOU'LL DO

• Build, evaluate, and evolve foundational agents such as DeepSearch, DeepResearch, Extract, and Compose.
• Develop techniques for intent detection, query understanding, ranking, and RAG to improve accuracy and relevance.
• Define metrics, evaluation pipelines, and benchmarks for agent quality, including precision/recall, factual grounding, and latency trade-offs.
• Research and implement best practices in retrieval, orchestration, and evaluation of multi-agent workflows.
• Collaborate with platform engineers to design core components that enable secure, reliable, and scalable deployment of agents.
• Partner with product teams to translate enterprise use cases into agentic solutions, ensuring measurable improvements in user experience.
• Contribute to technical discussions, share research insights, and help define the roadmap for Box's agent ecosystem.

WHO YOU ARE

• You are passionate about building and evaluating AI agents that solve enterprise problems.
• You enjoy working at the intersection of machine learning and distributed systems, bridging research with production.
• You've designed or evaluated ML systems for search, ranking, RAG, or conversational AI.
• You like to be an owner and strive to do work you're proud of-both technically and in your team interactions.
• You are collaborative, curious, and comfortable mentoring or learning from other engineers and ML practitioners.

Must Have Experience

• 3+ years of industry experience building or evaluating ML-powered systems.
• Strong background in machine learning, information retrieval, or natural language processing.
• Proficiency with at least one programming language such as Python, Java, or Scala.
• Experience designing, training, and evaluating ML models in production.
• Familiarity with retrieval systems, ranking models, RAG pipelines, or intent classification.
• BS degree in Computer Science, Machine Learning, or a related field.

Nice To Have Experience

• Advanced degree in computer science, machine learning, or related field.
• Hands-on experience with LangChain, LangGraph, or other agent frameworks.
• Familiarity with LLMs, embeddings, semantic search, indexing, and relevance optimization.
• Experience with cloud-based ML platforms such as Vertex AI, AWS Bedrock, or SageMaker.
• Experience with Kubernetes-based systems for deploying and scaling ML workloads.
• Research or applied experience in evaluation of generative AI systems (factuality, safety, grounding).

Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process.

At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in.If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply!

Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information, check out our benefits and perks.

United States Pay Range

$175,500-$219,500 USD