Staff Machine Learning Engineer - Generative AI Platform

Burnaby, BC, Canada

Job Description

At Infoblox, every breakthrough begins with a bold "what if."

What if your ideas could ignite global innovation?

What if your curiosity could redefine the future?

We invite you to step into the next exciting chapter of your career journey. Bring your creativity, drive, your daring spirit, and feel what it's like to thrive on a team big enough to make an impact, yet small enough to make a difference. Our cloud first networking and security solutions already protect 70% of the Fortune 500, and we're looking for creative thinkers ready to push that influence even further. Join us and discover how far your bold "what if" can take the world, your community, and your career.

How we empower our people is extraordinary: we're recognized as a Glassdoor Best Place to Work 2025, Great Place to Work Certified in five countries, and honored by Cigna as a Healthy Workforce honors for three consecutive years; and what we build is world class: named CybersecAsia's Best in Critical Infrastructure 2024- clear evidence that when first class technology meets empowered talent, remarkable careers take shape. So, what if the next big idea, and the next great career story, comes from you? Become the force that turns every "what if" into "what's next.

In a world where you can be anything, Be Infoblox.

We are looking for a Staff Machine Learning Engineer - Generative AI Systems to join our innovative AI team. In this pivotal role, you will design and deliver enterprise grade AI/ML systems, product copilots, and agentic AI solutions that power the next generation of networking and security experiences. You will collaborate closely with Product, Engineering, Security, and Platform teams to bring scalable, secure, and high impact AI systems into production.

Be a Contributor - 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

Be Prepared - What You Bring

12 or more years of software engineering experience, including 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

Be Successful - Your Path

First 90 Days: Immerse in our culture, connect with mentors (Blox Buddies), and map the systems and meet with key stakeholders that rely on your work. Discuss and create short/long term goals.

Six Months:

Lead the end to end delivery of a production ready GenAI feature or system

Establish measurable evaluation criteria for quality, safety, and business impact

Influence architectural standards for GenAI systems within the organization

One Year:

Drive significant improvements in engineering productivity, product intelligence, or customer experience through AI systems

Establish reusable GenAI platform components adopted across multiple teams

Be recognized as a technical leader shaping our AI strategy and long term roadmap

Our culture thrives on inclusion, rewarding the bold ideas, curiosity, and creativity that move us forward. In a community where every voice counts, continuous learning is the norm. So, whether you code, create, sell, or care for customers, you'll grow and belong here.

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, and a "No Jerks" policy that keeps collaboration healthy

Modern offices with EV charging, healthy snacks (and the occasional cupcake), plus hackathons, game nights, and culture celebrations

CharitableGiving Program supported by Company Match

We practice pay transparency and reward performance. Offers reflect role location, internal equity, experience, skills, education, and certifications. Base salary for this position: $135,000 - $204,300 plus bonus

Ready to Be the Difference?

Infoblox is an Affir mintive 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

Job Info

Job Identification 7411

Locations Infoblox Canada Ltd, BURNABY, AL, V5H 4M2, CA

Posted Salary Range .00