Merck currently has 27 active AI-related job listings. The majority of these roles, 41%, are focused on agents. Engineering is the most frequent function for these positions. The company is hiring for these roles in the United States, Czech Republic, and Singapore. Frequent technology tags include fine-tuning, RAG, and agent orchestration. In the last 30 days, Merck has posted 48 new AI roles, representing a 700% increase from the previous 30-day period.
Currently tracking 11 active AI roles, up 14% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $129k–$228k (avg $176k).
Merck currently has 34 active AI-related roles in our index. The most common open titles are: Senior Business Analyst – Automation, Analytics & AI (2), Specialist, Capability Innovation & Prototype (AI Content Delivery & Partnerships) (2), AI Developer, AI Engineer, AI Research Engineer. Most positions are in Engineering and Research.
Merck's active AI hiring is concentrated in: agents (38%), application (24%), data (24%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Merck is hiring AI talent in: India (11 roles), United States (7 roles), Czech Republic (7 roles), Singapore (5 roles).
Job postings at Merck most frequently reference: llm observability, model serving, fine tuning, rag, evals.
In the past 30 days, Merck has posted 48 new AI-related roles. That is a +66% change versus the prior 30 days (29 → 48).
| Title | Stage | AI score |
|---|---|---|
| AI Research Engineer This role involves research, assessments, and technical evaluations of AI models, methods, and frameworks to solve problems and enhance company AI capabilities, particularly in generative AI and drug design. The engineer will conduct feasibility studies, create proof-of-concepts, explore AI applications to internal datasets, and support intellectual property creation. They will also develop methodologies and toolkits for AI approaches and contribute to raising AI and data science maturity within the company. | Data | 8 |