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 real-time content summarization and recommendations. Your role involves implementing advanced techniques like Retrieval-Augmented Generation (RAG) and fine-tuning transformer-based models, while collaborating with backend and data engineering teams to ensure effective deployment and maintenance of AI outputs that align with 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 focus on Natural Language Processing (NLP)
- Strong practical experience with 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 user experience (UX) implications in AI-generated content
- Experience working with headless CMS and structured content datasets
- Knowledge of ethical AI principles and prompt engineering best practices
Worth weighing
- No salary listed
- Hybrid work model with teams in the office an average of four days a week
- Strong focus on collaboration and creativity within the team
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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