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 Scientist AI Research Scientist role at Merck in Singapore focusing on research, assessments, and technical evaluations of AI models and methods for healthcare applications. The role involves conducting feasibility studies, creating proof of concepts, mentoring colleagues, and staying updated with AI research. Requires a degree in AI/ML/CS or related fields, hands-on Python coding, and familiarity with GenAI, deep learning, NLP, CV, and ML frameworks. Cloud infrastructure experience is a plus. | Post-train | 7 |
| AI Research Scientist (R2) AI Research Scientist with 1-2+ years of experience in healthcare IT, focusing on research, assessments, and technical evaluations of AI models and frameworks to solve internal problems and enhance generative AI capabilities. The role involves creating proof-of-concepts, staying updated on AI research, and mentoring colleagues. Requires a strong understanding of AI research landscape, hands-on Python development, and familiarity with GenAI, deep learning, NLP, CV, and ML frameworks, preferably within a cloud environment. |
| Post-train |
| 7 |