Staff Machine Learning Engineer (AI)

TL;DR

Staff Machine Learning Engineer (AI): Designing and deploying machine learning systems for predictive analytics, personalization, and automation within a digital work platform with an accent on scalability, reliability, and AI-driven autonomous workspaces. Focus on operationalizing ML models at cloud scale, building RAG systems, and implementing model observability.

Location: Hybrid (Mountain View, CA or Atlanta, GA)

Salary: $162,512 – $342,750 per year

Company

hirify.global is an AI-driven digital work platform providing secure, scalable, and seamless digital work environments through Unified Endpoint Management and Virtual Apps.

What you will do

• Design, develop, and deploy ML models for classification, prediction, anomaly detection, and intelligent automation.
• Build and maintain scalable data pipelines for model training, evaluation, and real-time/batch inference.
• Optimize ML models and pipelines for performance, scalability, reliability, and cost efficiency.
• Integrate ML solutions into core platform features and services in collaboration with cross-functional teams.
• Implement model observability, monitoring, and drift detection to ensure production reliability.
• Apply advancements in LLM technologies, including fine-tuning and prompt engineering, to product use cases.

Requirements

• 5+ years of experience in machine learning engineering or data science roles.
• Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or Scikit-learn.
• Experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
• Hands-on experience with LLMs, fine-tuning, prompt engineering, and vector databases for RAG systems.
• Must be based in or able to work from Mountain View, CA or Atlanta, GA (Hybrid).

Nice to have

• Experience with distributed computing frameworks like Spark or Ray.
• Knowledge of orchestration frameworks (LangChain/LangGraph) for building AI agents.
• Experience building feature stores or working with real-time inference architectures.
• Experience developing scalable ML services via REST/gRPC.

Culture & Benefits

• Employee ownership and corporate bonus programs.
• Comprehensive health insurance and 401k with matching contributions.
• Paid-time off and disability insurance.
• Opportunities for professional growth within a rapidly growing global private company.