Senior ML Engineer (Biologics Discovery)

Location: Onsite at an office in Spring House, Pennsylvania; Titusville or Raritan, New Jersey; Beerse, Belgium; or Madrid, Spain. No remote option.

Base pay: €75,500–€117,300 annually, plus potential bonus and benefits.

Company

Johnson & Johnson develops healthcare, Innovative Medicine, and MedTech solutions focused on preventing and treating complex diseases.

What you will do

• Build and operate scalable pipelines and interfaces connecting model-ready scientific data with ML, generative AI, and agentic workflows.
• Manage deployment, serving, access, monitoring, governance, versioning, rollback, and lifecycle operations across development and production environments.
• Establish observability, alerting, performance management, data-quality monitoring, drift detection, and resource-utilization practices.
• Automate testing, releases, environment management, and reproducible training, fine-tuning, evaluation, and deployment workflows.
• Partner with data scientists, ML practitioners, technology teams, and domain experts to create reusable integration patterns and production standards.
• Support security, access control, documentation, cost management, and the scaling of AI capabilities for biologics discovery.

Requirements

• Degree in Computer Science, Engineering, Data Science, Machine Learning, or a related computational field.
• At least 4 years of experience operationalizing and scaling AI/ML solutions in production, including ML, generative AI, or agentic workflows.
• Strong Python skills and experience with model training, fine-tuning, evaluation, deployment, and serving.
• Experience with cloud infrastructure, modern data platforms, model registries, experiment tracking, and ML lifecycle management tools such as MLflow or Weights & Biases.
• Experience with model versioning, deployment automation, CI/CD, automated testing, observability, monitoring, containers, orchestration, and scalable compute environments.
• Ability to work onsite at one of the listed offices in the United States, Belgium, or Spain.

Nice to have

• Experience in pharmaceutical, biotechnology, or life sciences sectors.
• Exposure to real-time or near-real-time pipelines and instrument data integration.
• Experience with FAIR data principles, metadata management, data lineage, provenance, and AI-ready data practices.

Culture & Benefits

• Inclusive work environment focused on individual dignity, diversity, and employee development.
• Annual bonus with a target determined by pay grade and location.
• Vacation, parental leave of at least 12 weeks, bereavement, caregiver, and volunteer leave.
• Well-being reimbursement and financial, physical, and mental health programs.
• Insurance plans, service-anniversary recognition, and other employee benefits subject to local plan terms.