or apply directly on Box's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 62 days Box's roles stay open a median of 73 days
- Reposted
- No
- Salary listed
- No 0% of Box's roles list one
- Ghost-job risk at Box
- high 148 stale, 19 reposted of 153 open
- Hiring momentum
- 235 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from Box's own greenhouse board since 2026-08-03. Full hiring picture for Box.
About this role
As a Machine Learning Engineer III at Box, you will design, build, and maintain machine learning systems that enhance document understanding through AI capabilities. Your role involves collaborating with various teams to develop scalable ML solutions, improve model quality, and ensure the reliability of production systems. You will also be responsible for monitoring these systems and contributing to the architecture of services that support both real-time and batch ML workloads.
- benefits
- 1/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Box as an employer.
What you need
- 3+ years of experience building, deploying, or operating production software, data, or machine learning systems
- Strong programming skills in Python
- Practical experience with the LLM based agents lifecycle
- Experience with LLM application frameworks and libraries such as LangChain, LangGraph, PyTorch, Pydantic, Pandas, or NumPy
- Understanding of core machine learning concepts
- Experience building APIs, services, pipelines, or distributed systems in a cloud environment
Nice to have
- Experience with MLOps tooling, model monitoring, feature stores, workflow orchestration, or experiment tracking
- Experience with generative AI in production
- Experience with multimodal intelligent document processing workflows
- Experience with a major cloud platform such as GCP, AWS, or Azure
- Experience with SQL and large-scale analytics
Worth weighing
- No salary listed
- Position requires in-office work a minimum of 3 days per week
- Focus on AI and machine learning may imply a fast-paced, evolving work environment
Summarised from Box's posting. Read the full original.
Listed by Box on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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