Software Engineer (ML Infrastructure)

Location: San Francisco, CA, United States; hybrid

Salary: $200,000–$240,000 annual base salary, plus bonus and equity

Company

hirify.global builds computer vision and machine learning systems that use existing security cameras to detect hazards and high-risk activities, improve safety, and increase operational efficiency.

What you will do

• Build and maintain ML training infrastructure for concurrent model training, experiment management, and rapid iteration.
• Own the train-to-deploy workflow, exporting trained models to optimized TensorRT and ONNX inference formats.
• Measure accuracy and latency trade-offs and partner with Platform engineers on production deployment.
• Establish experiment tracking and lifecycle management using tools such as Weights & Biases, MLflow, or ClearML.
• Implement DevOps-for-ML practices on AWS, including infrastructure as code, CI/CD, observability, and cost monitoring.
• Set technical direction, make architecture decisions, and design scalable infrastructure for applied ML and computer vision engineers.

Requirements

• 4+ years of experience building and shipping large-scale software solutions.
• Hands-on experience building ML training pipelines with PyTorch.
• Experience with ML experiment tracking and lifecycle tools such as Weights & Biases, MLflow, or ClearML.
• Experience using AWS services such as S3, EC2, and EKS for ML workloads.
• Strong Python skills, including writing performant production code.
• End-to-end infrastructure ownership, strong communication, and a bias toward shipping.

Nice to have

• Experience with ML orchestration tools such as Ray, Sematic, Flyte, Metaflow, or Prefect.
• Familiarity with GPU profiling and optimization using Nsight, PyTorch Profiler, or similar tools.
• Background in computer vision model training.

Culture & Benefits

• Equity through the Equity Incentive Plan.
• Comprehensive health, dental, and vision insurance.
• Competitive paid parental leave.
• Unlimited PTO and flexible work arrangements.
• Daily in-office meals, team events, and an annual company onsite.