Staff Machine Learning Engineer (AI)

Location: Hybrid role in San Jose, California, USA

Base salary: $152,000–$190,000 USD per year, excluding bonus, equity, commissions, and benefits.

Company

hirify.global provides a cloud security platform based on the Zero Trust Exchange, protecting users, devices, applications, and data at global scale.

What you will do

• Own an agentic troubleshooting framework, defining high-impact use cases, workflows, playbooks, and processes.
• Evaluate and integrate generative AI advances using LLMs, machine learning models, data processing, fine-tuning, and inference optimization.
• Explore cloud platform data lakes for feature generation and machine learning development.
• Process and aggregate high-volume data through real-time pipelines.
• Design, implement, and operate scalable production systems using microservices, data pipelines, orchestration, and caching.

Requirements

• BS in Computer Science with 6+ years of experience, or MS/PhD with 5+ years of experience solving real-world problems with AI/ML and distributed systems.
• Strong programming, data structures, algorithms, machine learning, and first-principles problem-solving skills.
• Hands-on experience with AI modeling, feature generation, prompt engineering, evaluations, and productionization.
• Experience across the machine learning lifecycle, including model development, deployment, monitoring, and optimization.
• Experience designing and operating distributed microservices with Kubernetes and Docker using Python, Go, or Java.

Nice to have

• Experience using AI technologies and workflows to improve operational efficiency.
• Experience scaling autonomous AI agents, agentic orchestration workflows, and LLM tooling for cloud troubleshooting or incident response.
• Experience fine-tuning and deploying proprietary SLMs or LLMs at scale while optimizing latency, cost, safety, and evaluations.
• Experience with anomaly detection, event correlation, incident investigation, and resilient systems with defined service-level objectives.

Culture & Benefits

• Hybrid working model with in-office perks.
• Health plans, vacation and sick time, and parental leave options.
• Retirement options and education reimbursement.
• Collaborative, inclusive environment with an emphasis on ownership, trust, feedback, and measurable outcomes.