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 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.
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 |
|---|---|---|
| Senior Scientist, Hybrid Modeler, Digital Insights, DSCS Digital Technologies Senior Scientist role focused on developing and deploying mechanistic, CFD-based, and data-driven models for sterile drug substance and drug product manufacturing processes in the pharmaceutical industry. The role involves integrating physics-based models with AI/ML methods to optimize processes, de-risk scale-up, and support clinical-to-commercial transitions. Requires expertise in CFD, programming (Python, MATLAB), and data science, with a focus on applying these to pharmaceutical manufacturing challenges. | ServeData | 7 |
| Manager, ML Engineering Manager for an AI Engineering team focused on building and deploying AI solutions on cloud platforms, leveraging ML, LLMs, and RAG. The role involves people management, technical leadership, and collaboration with global stakeholders to deliver scalable and reliable AI systems. |
| ServeAgent |
| 7 |
| Manager, AI Engineer Manager for an AI Engineering team focused on building and deploying AI solutions on cloud platforms, utilizing ML, LLMs, and RAG. The role involves people management, technical leadership in software engineering, MLOps, and cloud infrastructure, with a focus on delivering scalable and reliable AI solutions for healthcare business problems. | Serve | 7 |
| Senior Specialist, DevOps Engineer Senior Specialist, DevOps Engineer responsible for building and maintaining MLOps workflows, CI/CD pipelines, and cloud infrastructure (AWS, Kubernetes) for generative AI applications, including LLM-based authoring tools, machine translation, RAG pipelines, and embedding services. The role focuses on operational excellence, reliability, security, and compliance in a regulated healthcare environment. | ServeAgent | 7 |