Box
Machine Learning Engineer III, Core Agents
Redwood City, CA · Mid
Sponsorship not specified$176k-$220kDetected 1 day ago
PythonJavaDistributed SystemsAWSKubernetesMachine LearningNLPLLMsRAGAgentic AILangGraphAI OrchestrationResearchCollaborationMentoring
About the role
- We help companies thrive in the new AI-first era of business.
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.
- 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.
- You've designed or evaluated ML systems for search, ranking, RAG, or conversational AI.
- 3+ years of industry experience building or evaluating ML-powered systems.
Requirements
- 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.
- Must Have Experience
Nice to have
- 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).
- 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.
- 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!
Skills
- WHAT IS BOX?
- Box (NYSE:BOX) is the leader in Intelligent Content Management.
- Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.
- Your work will shape how agents retrieve, reason, and act on enterprise content with high accuracy and trustworthiness.
Compensation
- Actual base salary (or
- OTE if commissionable role) is dependent upon factors such as:
- United States Pay Range
- $175,500 - $219,500 USD
Benefits
- This role is also eligible for equity and benefits.
- For more information, check out our benefits and perks.
- You enjoy working at the intersection of machine learning and distributed systems, bridging research with production.
- You are collaborative, curious, and comfortable mentoring or learning from other engineers and ML practitioners.
- MS or PhD degree in Machine Learning, Computer Science, or a related field.
- Strong background in machine learning, information retrieval, or natural language processing.
- Advanced degree in computer science, machine learning, or related field.
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. Reasonable accommodations may include scheduling adjustments, document dictation and beyond.
- 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 Chair Ordinance. The Fair Chance Ordinance is provided here.
- 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 Chair Ordinance. The Fair Chance Ordinance is provided here.
This listing is sourced directly from Box's careers page and normalized into a canonical job model.