Senior Machine Learning Engineer (Biologics Discovery)

Location: Office-based in Spring House, Pennsylvania; Titusville or Raritan, New Jersey; Beerse, Belgium; or Madrid, Spain. No remote option.

Base pay: $109,000–$174,800 annually for candidates hired in the United States. Annual performance bonus may also apply.

Company

Johnson & Johnson develops healthcare, pharmaceutical, and MedTech solutions, including innovative medicines and technologies for complex diseases.

What you will do

• Build and operate scalable pipelines and interfaces that deliver model-ready data to ML, generative AI, and agentic workflows.
• Deploy, serve, monitor, govern, and manage the lifecycle of AI/ML solutions across development and production environments.
• Implement model, data, and workflow versioning with reproducible releases, rollback capabilities, and end-to-end traceability.
• Establish monitoring, observability, alerting, performance management, and automated testing practices for deployed models and AI services.
• Enable closed-loop scientific learning by capturing, governing, and routing newly generated scientific data to downstream modeling and evaluation workflows.
• Partner with data scientists, AI/ML practitioners, technology teams, and domain experts to establish reusable integration patterns and production standards.

Requirements

• Degree in Computer Science, Engineering, Data Science, Machine Learning, or a related computational field.
• 4+ years of experience operationalizing and scaling AI/ML solutions in production, including ML, generative AI, or agentic workflows.
• Strong Python proficiency and experience with model training, fine-tuning, evaluation, deployment, and serving workflows.
• 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.
• Strong software development and automation skills, with effective collaboration across scientific and technical teams.

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 diversity, dignity, and equal opportunity.
• Medical, dental, vision, life insurance, disability, business accident, and group legal insurance may be available for eligible employees.
• Retirement and savings plans, including a 401(k), may be available.
• Vacation, sick time, holiday pay, and personal and family time are provided according to applicable terms.
• Compensation and benefits for hires outside the United States follow the applicable local market.