Genmab

Engineer, AI/ML – Analytics Platform Engineering

Genmab

full-time

Posted on:

Location Type: Hybrid

Location: Princeton • New Jersey • 🇺🇸 United States

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Salary

💰 $104,880 - $157,320 per year

Job Level

Mid-LevelSenior

Tech Stack

AWSCloudDockerJenkinsKubernetesMicroservicesPythonPyTorchSparkSQLTensorflowTerraform

About the role

  • 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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonSparkSQLPyTorchTensorFlowTerraformOpenTofuCDKPulumiDocker
Soft skills
communicationstakeholder engagement