AI ML Research Intern

Department: Technology

• Creative Studio: Generates ad creatives 10x faster and 20x better 
• Audience Assistant: Get razor-precise audience recommendations across platforms
• Snoop AI: Provides insights about competition and industry trends 
• Insights AI: State-of-the-art advanced analytics dashboard with actionable insights providing a 360-degree view of the marketing spending across all channels
• Growth Infra: Exclusive whitelisted ad infrastructure (agency grade set up) to hyper-scale campaigns without any restrictions on spending for seamless growth

Key Responsibilities

• Prior Research Internship experience in AI ML.
• Design and Build AI Agents: Develop intelligent agents using frameworks like LangGraph, LlamaIndex, and Semantic Kernel to unlock insights from vast marketing datasets.
• Optimize Performance: Use observability tools such as LangSmith and Langfuse to monitor, debug, and fine-tune AI agent performance.
• Integrate Memory Systems: Implement memory solutions with tools like MemGPT, LangMem, or zep, ensuring agents can retain and reference context effectively.
• Create Data Pipelines: Build scalable data pipelines and organize semantic data with vector databases like Pinecone, Chroma, or Weaviate.
• Deploy Advanced Models: Leverage platforms such as Anthropic, OpenAI, or Fireworks AI to integrate state-of-the-art natural language processing capabilities.
• Expand Agent Functionality: Incorporate toolkits like Composio and Browserbase to enhance usability and efficiency.
• Host and Deploy Agents: Use scalable solutions like LangGraph Agents API or Amazon Bedrock Agents for seamless deployment.
• Drive Innovation: Explore the latest in generative AI and propose creative solutions for improving marketing workflows.

Requirements - 

• Currently pursuing or recently completed a degree in computer science, data science or a related field.
• Mandate prior research Internship experience in AI ML.
• Proficiency in Python and experience with AI/ML frameworks such as PyTorch or TensorFlow.
• Hands-on experience with AI agent frameworks like LangGraph, AutoGen, or Semantic Kernel.
• Familiarity with vector databases (Pinecone, Chroma, Weaviate) and observability tools (LangSmith, Langfuse).
• Basic knowledge of APIs for ad platforms like Meta, Google Ads, or LinkedIn Ads.
• Exposure to cloud platforms (AWS, GCP, Azure) for deploying AI solutions.

Soft Skills

• Analytical mindset with a passion for problem-solving.
• Strong communication and team collaboration abilities.
• Eagerness to learn and embrace emerging technologies.

Why Join Us?

• Cutting-Edge Work: Collaborate on projects that leverage the latest advancements in AI and technology.
• Mentorship: Work directly with founders and industry leaders, gaining insights into the startup ecosystem and technical innovation.
• Real Impact: Your work will directly contribute to building products that solve real-world problems.
• Skill Development: Hands-on experience with emerging technologies and the opportunity to lead technical initiatives.
• Dynamic Culture: Be part of a team that values innovation, creativity, and collaboration.

• Innovative & Fast-Paced: We thrive on creativity and quick execution, encouraging new ideas to solve challenges.
• Team Collaboration: Every voice matters, and teamwork is at the core of what we do.
• Balanced Work Life: Spontaneous chai breaks, lunch outings, and gaming sessions keep the atmosphere fun.
• Flexible & Open-Minded: We welcome experimentation and fresh perspectives.
• Ambitious & Goal-Driven: We set bold goals and work hard to achieve them.
• Inclusive & Supportive: Everyone feels a sense of belonging, with a focus on collaboration and support.
• Employee-centric: At Zocket, we’re all about people first. Our employee-centric culture thrives on continuous feedback, open communication, and a genuine commitment to listening to and supporting our team. We believe that when we take care of our employees, they, in turn, take care of the product, creating a positive ripple effect throughout the organization.