AI ML Research Intern

Ovii's Interpretation of the Role

Join Zocket’s Office of the CTO as an AI ML Research Intern, building intelligent agents that turn large‑scale marketing data into actionable insights. You’ll work with cutting‑edge generative‑AI frameworks, vector stores, and cloud services to prototype and deploy next‑generation marketing intelligence tools.

Role Snapshot

• AI/ML research internship
• Build and optimize AI agents
• Develop data pipelines & vector stores
• Deploy models on cloud platforms
• Collaborate with product and engineering teams

Must-Have Requirements

• Python
• PyTorch or TensorFlow
• AI agent frameworks (LangGraph, AutoGen, Semantic Kernel)
• Vector databases (Pinecone, Chroma, Weaviate)
• Observability tools (LangSmith, Langfuse)
• Memory tools (MemGPT, LangMem, zep)
• APIs for ad platforms (Meta, Google Ads, LinkedIn Ads)
• Analytical mindset
• Prior research internship experience in AI/ML
• Bachelor's degree in Computer Science, Data Science, or related field

Nice-to-Have Signals

• Cloud platforms (AWS, GCP, Azure)

Work Setup

• Employment type: Intern

Not Specified in JD

• Visa sponsorship
• Salary range
• Remote eligibility
• Relocation

What You'll Likely Work On

• Design and implement AI agents using LangGraph, LlamaIndex, or Semantic Kernel
• Monitor and fine‑tune agent performance with LangSmith or Langfuse
• Integrate memory modules (MemGPT, LangMem, zep) for contextual recall
• Build scalable data pipelines and store semantic vectors in Pinecone, Chroma, or Weaviate
• Deploy large‑language models via Anthropic, OpenAI, or Fireworks AI
• Extend agent capabilities with toolkits such as Composio and Browserbase
• Host agents through LangGraph Agents API or Amazon Bedrock Agents
• Research emerging generative‑AI techniques and propose workflow improvements

Good Fit If You Have

• Eager to explore new AI frameworks and tools
• Strong analytical mindset and collaborative communication style
• Interest in advertising technology and marketing data