Software Engineer, ML Infrastructure (MDX)

Location: San Francisco, Sunnyvale, or Seattle, United States

Salary: $130,600–$192,000 USD annual base salary, plus potential equity grants.

Company

hirify.global operates a technology platform and its ML Platform supports machine-learning products across hirify.global, Wolt, and Deliveroo.

What you will do

• Build agentic systems that accelerate ML development from idea to production model.
• Design infrastructure for agents to propose, run, and evaluate modeling experiments.
• Develop agentic developer support for training jobs, pipeline debugging, model deployment reviews, and platform navigation.
• Build evaluation and observability for agent behavior, including regression detection and reliability measurement.
• Implement production safeguards such as reliability controls, safety guardrails, cost controls, monitoring, and operational playbooks.
• Partner with ML engineers, data scientists, and platform teams to turn workflows into reusable platform capabilities.

Requirements

• Bachelor’s, master’s, or PhD in Computer Science or equivalent.
• At least 2 years of industry software engineering experience.
• Production experience with ML infrastructure, including feature engineering, data pipelines, training and experimentation platforms, model evaluation, deployment, serving, inference, or monitoring.
• Strong backend engineering fundamentals, especially Python and distributed systems.
• Experience operating production systems, including testing, observability, debugging, and reliability practices.
• Proficiency with AI coding tools such as Claude Code, Codex, or Cursor across the software development lifecycle.

Nice to have

• Experience building LLM-powered applications, AI agents, tool-use systems, orchestration, or MCP servers.
• Experience with agent evaluation, LLM observability, tracing, or evaluation harnesses.
• Experience with ML platforms or MLOps tools such as Kubeflow, MLflow, Ray, or Airflow.
• Experience with Kubernetes, AWS, GCP, developer tools, internal platforms, or self-service infrastructure.
• Experience with guardrails, safety, or cost controls for LLM systems.

Culture & Benefits

• Full-time employment with medical, dental, vision, disability, and basic life insurance.
• 401(k) plan with employer matching.
• Sixteen weeks of paid parental leave and family-forming assistance.
• Flexible paid time off, 80 hours of paid sick time annually, and 11 paid holidays for salaried roles.
• Wellness, commuter, mental health, and other employee support benefits.