Data Scientist II - AI
About The Position
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. Here, how we empower our people is extraordinary: Glassdoor Best Places to Work 2025, Great Place to Work-Certified in five countries, and Cigna Healthy Workforce honors three years running — and what we build is world-class: recognized as CybersecAsia’s Best in Critical Infrastructure 2024 — 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. Data Scientist II - AI We are seeking a Data Scientist II - AI to join our NIOS Platform team, based in Tacoma, WA or Burnaby, BC. In this key role, you will be responsible for designing, developing, and supporting core platform features that power our industry-leading NIOS platform. You’ll collaborate closely with Distinguished Engineers, Architects, QA, Product Security, and Customer Escalation teams to deliver scalable, secure, and reliable solutions. As a critical contributor to the evolution of Infoblox’s next-generation DDI services, you will help shape software architecture, enhance product security, and drive platform scalability and performance.
Requirements
- Minimum 3 years of experience (post-M.S./Ph.D.) in an applied AI or machine learning engineering role
- Minimum1 years of hands-on AI/ML experience (NLP, LLMs, applied ML)
- Has shipped production AI features, not just research or demos
- Understands both ML engineering (training, fine-tuning, eval) and MLOps (deployment, monitoring)
- Loves working in scrappy, 0→1 startup environments
- Is product-minded: cares about impact on customers, not just model benchmarks
- AI: OpenAI, Llama, Claude, LangChain, RAG frameworks
- Vector DB: Pinecone, Weaviate, FAISS, ChromaDB
- Middleware: MCP
Responsibilities
- Design, fine-tune and deploy AI/LLM-powered agents for real-world DDI deployment and development
- Build retrieval-augmented generation (RAG) pipelines, embeddings, and multi-agent orchestration
- Evaluate and fine-tune models for accuracy, reliability, and performance
- Prototype fast, validate with real users, and iterate on productized AI features
- Influence core AI/ML architecture and research directions as a founding member
Benefits
- 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
- Charitable Giving Program supported by Company Match
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
1,001-5,000 employees
