Senior Machine Learning Platform Engineer (AI)

Company

hirify.global builds risk-aware, reliable, field-ready AI systems for robotics, operating at the intersection of embodied intelligence and real-world field deployments.

Location: Must be based in Irvine, CA (On-site)

What you will do

• Design and manage scalable ML infrastructure using IaC tools like Terraform and CloudFormation.
• Develop and optimize cloud-based pipelines for training, evaluation, and inference on multimodal datasets.
• Build and operate data systems for large-scale video ingestion, indexing, and storage.
• Maintain MLOps workflows for versioning, experiment tracking, reproducibility, and CI/CD.
• Ensure system reliability and observability through monitoring, logging, and alerting.
• Mentor and manage junior engineers while collaborating with AI/ML teams to productionize workflows.

Requirements

• 4+ years of industry experience in ML infrastructure or platform engineering.
• Strong coding skills in Python and TypeScript.
• Proven experience with distributed systems, AWS, containerization (Docker, Kubernetes/EKS), and Ray.
• Hands-on experience building ML pipelines for distributed training and large-scale inference.
• Strong knowledge of data management at scale, specifically for video/image datasets.
• Proficiency with CI/CD, infrastructure-as-code, and MLOps tools like MLflow or Kubeflow.

Nice to have

• Experience with vector databases like Pinecone or Weaviate.
• Familiarity with distributed training frameworks such as Horovod, DeepSpeed, or Ray.
• Hands-on experience with GPU orchestration and auto-scaling (Karpenter, SageMaker).
• Experience with agentic AI deployment workflows and retrieval-augmented generation.

Culture & Benefits

• Work directly with hardware, sensors, and robots in a collaborative, high-impact environment.
• Join a world-class team with deep experience from organizations like NASA JPL, Boston Dynamics, and Tesla.
• Solve complex, real-world robotics challenges outside of the lab.
• Competitive compensation package based on experience and the Irvine market.