Genmab · 19 hours ago
Engineer, AI/ML & Analytics Platform Engineering
Princeton, NJ
Full-time
Onsite
Mid, Senior Level
$105K/yr - $157K/yr
5+ years expGenmab is an international biotechnology company dedicated to improving patient lives through innovative antibody therapeutics. They are seeking an experienced AI/ML & Analytics platform engineer to build and enhance their developer platform, ensuring efficient operations and value delivery across the business.
BiotechnologyHealth CareManufacturingMedical
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
Qualification
Required
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
Preferred
Prior experience working within the pharma/biotech domain
Proficiency in at least one or more strongly typed programming language such as C/C++, Java, Go, Rust, or similar with associated OO or functional design principals
Experience with large-scale distributed systems (e.g. Ray, Dask, Spark, etc.) and high-performance computing environments (e.g. Slurm, etc.)
In-depth knowledge of data platforms (e.g. Databricks, Snowflake, or Lake Formation) and tools (e.g. dbt) and their underlying technologies (e.g. Delta, Iceberg, Hudi, Spark)
Prior work building and using real-time/streaming infrastructure (e.g., Kafka, Spark Streaming)
Experience with GitOps style tools for building and enabling developer platforms (e.g. ArgoCD, Crossplane, etc.)
Experience with multi-cloud platform development (e.g. some combination of AWS, GCP, Azure)
Knowledge of high-performance frameworks for inference and training/fine-tuning (e.g. onnxRT, tensorRT, Triton, etc.) or resource intensive GenAI
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
Company
Genmab
Genmab is a biotechnology company focused on developing fully human antibody therapeutics for the potential treatment of cancer.
1001-5000 employees
H1B Sponsorship
Genmab has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (14)
2024 (10)
2023 (6)
2022 (3)
2021 (3)
2020 (1)
Funding
Current Stage
Public CompanyTotal Funding
$11.7BKey Investors
Morgan Stanley Senior FundingGlaxoSmithKlineIndex Ventures
2025-11-18Post Ipo Debt· $6B
2025-09-29Post Ipo Debt· $5.5B
2010-07-01Post Ipo Equity· $134M
Leadership Team
Anthony Pagano
Chief Financial Officer
Anthony Mancini
EVP & Chief Operating Officer
Recent News
Pharma Letter
2026-01-09
2026-01-09
2026-01-08
Company data provided by crunchbase