Hybrid Engineer, AI/ML – Analytics Platform Engineering

at Genmab

• Job title: Engineer, AI/ML – Analytics Platform Engineering
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $104,880 - $157,320 per year
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Cloud, Docker, Jenkins, Kubernetes, Microservices, Python, PyTorch, Spark, SQL, Tensorflow, Terraform
• Location requirements: Hybrid, Princeton, United States

About the role

• AI/ML & Analytics Platform Engineer at Genmab contributing to innovative solutions in biotech. Ensuring efficient and compliant operations for the AI/ML & Analytics developer platform.

Responsibilities

• Contribute to the build out of the AI/ML & Analytics platform, services, and tools (across dev, test, and prod) that accelerate model training, inference, and deployment within our spoke teams
• Build platform capabilities to support both batch and real-time workflows at scale with flexible deployment strategies to accommodate varying use cases (e.g. low-latency predictions, offline model inference)
• Improve platform performance, reduce manual intervention, scale compute, and increase deployment efficiency.
• Work with the foundational cloud teams to ensure platform operational effectiveness, reliability, security and efficiency.
• Work with team members to provide technical guidance and implementations for monitoring systems (e.g. registry, alerting, etc.) and governance frameworks (e.g. regulatory compliance).
• Collaborate with our spoke teams for AI/ML & Analytics system architecture design, deployment pipelines, and solution scaling.

Requirements

• Bachelors or Masters in a quantitative subject (e.g. Computer Science, Engineering, Data Science, Mathematics, Statistics, Operations Research) or a related field with 5+ years of experience.
• Experience in building AI/ML & Analytics or related platforms for ML Researchers, ML Engineers, Data Scientists, and Data Analysts
• Experience building scalable self-service systems or platforms using microservices and/or event-based services
• Strong knowledge of commonly used AI/ML & Analytics programming languages such as Python, Spark, SQL or similar, with experience in machine learning frameworks like PyTorch or TensorFlow.
• Experience with the AWS cloud-service ecosystem including AI/ML & Analytics related services (e.g. Sagemaker, etc.)
• Experience implementing IaC (Terraform, OpenTofu, CDK, Pulumi, etc.) + CI/CD for deploying cloud-based platform infrastructure at scale
• Knowledge of basic software development tools including VCS (GitHub, GitLab, etc.), CI/CD (GitHub/Lab Actions, Jenkins, etc.), JIRA
• Knowledge of containerization (e.g. Docker, Podman, etc.) and orchestration tools (e.g. Kubernetes, Rancher, etc.)
• Experience with large scale CPU, GPU and/or multi-GPU infrastructure (bonus for CUDA fundamentals)
• Knowledge of fundamental ops capabilities such as registries, tracking, observability, and monitoring.
• Experience analyzing and improving system performance and reducing costs.
• Strong communication skills and ability to engage with stakeholders effectively.

Benefits

• 401(k) Plan: 100% match on the first 6% of contributions
• Health Benefits: Two medical plan options (including HDHP with HSA), dental, and vision insurance
• Voluntary Plans: Critical illness, accident, and hospital indemnity insurance
• Time Off: Paid vacation, sick leave, holidays, and 12 weeks of discretionary paid parental leave
• Support Resources: Access to child and adult backup care, family support programs, financial wellness tools, and emotional well-being support
• Additional Perks: Commuter benefits, tuition reimbursement, and a Lifestyle Spending Account for wellness and personal expenses