Infoblox is hiring a Staff Machine Learning Engineer

Engineering is looking for a Staff Machine Learning Engineer to design and deliver enterprise-grade AI/ML systems, product copilots, and agentic AI solutions that power the next generation of networking and security experiences.

What You'll Do

• Design and architect scalable Generative AI systems, including product copilots and internal AI tools, from concept through production deployment.
• Build and productionize RAG pipelines, reasoning agents, embedding systems, and LLM orchestration frameworks integrated with enterprise tools and data platforms.
• Establish evaluation, observability, and governance frameworks for Generative AI systems, including quality, safety, performance, and measurable business impact.
• Implement enterprise-grade guardrails and security controls to mitigate hallucination, prompt injection, data leakage, and misuse.
• Optimize AI system performance across cost, latency, reliability, and scalability in cloud-native environments.
• Drive technical direction across cross-functional initiatives, partner with product and platform teams, and mentor engineers to elevate Generative AI best practices and architectural standards.

What We're Looking For

• 12 or more years of software engineering experience.
• 4 or more years building and deploying Generative AI systems in production environments.
• Strong experience designing and delivering scalable, production-grade machine learning or Generative AI systems from concept through deployment.
• Deep understanding of large language models, prompt engineering, embeddings, and retrieval architectures (e.g., RAG).
• Hands-on experience building distributed backend systems and deploying services in cloud-native environments (e.g., AWS, GCP, or Azure).
• Experience with LLM orchestration frameworks, vector databases, and model APIs (e.g., OpenAI, Anthropic, Gemini, or open-weight models).
• Proven ability to establish evaluation, experimentation, and performance monitoring frameworks for AI systems.
• Strong systems-thinking mindset with the ability to design reliable, secure, and scalable AI architectures.
• Demonstrated technical leadership, including influencing cross-functional stakeholders and mentoring engineers in SaaS or large-scale distributed system environments.
• Bachelor's/Master's degree or a PhD in Computer Science, Computer Engineering.

Technical Stack

• AWS, GCP, Azure
• OpenAI, Anthropic, Gemini

Team & Environment

You will collaborate closely with Product, Engineering, Security, and Platform teams.

Benefits & Compensation

• Compensation: $135,000 - $204,300 plus bonus
• Comprehensive health coverage, generous PTO, and flexible work options.
• Learning opportunities, career-mobility programs, and leadership workshops.
• Sixteen paid volunteer hours each year.
• Global employee resource groups.
• Modern offices with EV charging, healthy snacks.
• Hackathons, game nights, and culture celebrations.
• Charitable Giving Program supported by Company Match.

Work Mode

This role offers a hybrid work arrangement.

Infoblox is an Affirmative Action and Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.