ML Platform Engineer (AI)

Location: United States — San Mateo, California

Salary: $124,000–$210,000 annual base salary

Company

hirify.global provides a cloud platform combining digital, core, analytics, and AI capabilities for property and casualty insurers.

What you will do

• Design, develop, and maintain secure, scalable ML platform components covering data ingestion, model training, deployment, and monitoring.
• Build infrastructure for model training, experiment tracking, hyperparameter tuning, and model registries using tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or similar technologies.
• Develop automated ML workflows and CI/CD pipelines for machine learning applications.
• Collaborate with Data Scientists and Data Engineers to create reliable, model-ready datasets and improve the ML development experience.
• Optimize ML workloads across cloud infrastructure, compute, and storage while implementing monitoring, logging, testing, and operational practices.
• Participate in design discussions, code reviews, technical planning, and security, privacy, and compliance initiatives.

Requirements

• 3+ years of software engineering experience, including work with ML platforms, data platforms, or cloud-native applications.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• Strong programming skills in Python, Go, or Java.
• Experience with Docker, Kubernetes or similar container orchestration technologies, and cloud platforms such as AWS, Azure, or GCP.
• Familiarity with MLOps tools including MLflow, Kubeflow, SageMaker, Vertex AI, or Databricks.
• Understanding of machine learning workflows and common algorithms, alongside strong communication, collaboration, and problem-solving skills.

Nice to have

• Experience deploying and monitoring ML models in production, using feature stores, workflow orchestration, or model monitoring solutions.
• Exposure to Kafka or Spark, Infrastructure as Code, Terraform, TeamCity, ML governance, reproducibility, or model lifecycle management.
• Experience in insurance, financial services, or another regulated industry.

Culture & Benefits

• Culture focused on curiosity, innovation, responsible AI, and data-driven engineering.
• Health, dental, and vision insurance for eligible full-time employees.
• Paid time off and a company-sponsored retirement plan.
• Some roles may include annual bonuses, commissions, or long-term incentive awards.