or apply directly on VML's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 103 days VML's roles stay open a median of 103 days
- Reposted
- No
- Salary listed
- No 0% of VML's roles list one
- Ghost-job risk at VML
- high 582 stale, 8 reposted of 582 open
- Hiring momentum
- 227 roles opened in the last 90 days ↓ down vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-11-14
Measured from postings appearing on and disappearing from VML's own greenhouse board since 2026-08-03. Full hiring picture for VML.
About this role
As an AI/ML Engineer at VML, you will design, train, and optimize AI models with a focus on Natural Language Processing (NLP) for tasks like real-time content summarization and conversational UIs. You will implement advanced techniques such as Retrieval-Augmented Generation (RAG) and work closely with backend and data engineering teams to ensure the seamless deployment of AI models while maintaining brand tone and content accuracy.
- benefits
- 1/5
- freshness
- 1/5
- 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 VML as an employer.
What you need
- Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field
- 5–7 years of progressive experience in AI/ML engineering with a strong focus on Natural Language Processing (NLP)
- Strong practical experience with leading Machine Learning frameworks such as TensorFlow, PyTorch, and Hugging Face
- Experience with LangChain and LangGraph
- Experience with MLOps pipelines and platforms like AWS SageMaker, Azure AI Search, or similar
- Solid understanding of Large Language Models (LLMs), embeddings, and semantic search technologies
Nice to have
- Understanding of branding, tone, and the user experience (UX) implications in AI-generated content
- Experience working with headless CMS (Content Management Systems) and structured content datasets
- Knowledge of ethical AI principles and prompt engineering best practices
Worth weighing
- No salary listed
- Hybrid work approach with teams in the office an average of four days a week
- Focus on maintaining brand tone and content accuracy may require careful attention to detail
Summarised from VML's posting. Read the full original.
Listed by VML on their greenhouse job board, last confirmed open on 2026-11-14. PitchMeAI is not the employer.
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