Machine Learning Engineer III, Core Agents

About 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. 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.

The Opportunity

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.

Responsibilities

• 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

Required 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

• 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)

Who You Are

• Passionate about building and evaluating AI agents that solve enterprise problems
• Enjoy working at the intersection of machine learning and distributed systems, bridging research with production
• Like to be an owner and strive to do work you're proud of—both technically and in your team interactions
• Collaborative, curious, and comfortable mentoring or learning from other engineers and ML practitioners

Work Arrangement

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.

Compensation

United States Pay Range: $175,500—$219,500 USD

Actual base salary is dependent upon factors such as knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits.

Equal Opportunity

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and independence of people with disabilities and is committed to giving them the same opportunity to succeed as all other employees.

Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form.

Notice to applicants in Los Angeles: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chance Ordinance.

Notice to applicants in San Francisco: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance.