ML Engineering Internship in New York – 6 months from August 2025

We can’t wait to see what you’ll build with us!

ML Engineering Internship in New York – 6 months from August 2025

About Zenyt

Zenyt is a New York–based, fast-growing startup that automates repetitive e-commerce tasks with AI agents. Founded by AI experts with decades of combined experience at BCG and AWS, we already serve leading brands in jewelry, cosmetics, fashion, and electronics, and have secured seed funding from top-tier business angels and entrepreneurs.

The Role

As an ML Engineering Intern, you’ll build the agent infrastructure that powers Zenyt’s automation platform. Your mission will include:

  • Designing and deploying scalable pipelines for large-language-model (LLM) agents (Python, PyTorch, LangChain or similar).
  • Implementing retrieval-augmented generation (RAG) and tools/plug-ins so agents can reason over real-world e-commerce data.
  • Automating fine-tuning, evaluation, and monitoring of models in production (MLflow, Weights & Biases, or comparable stacks).
  • Working hand-in-hand with product, design, and customer-success teams to turn rapid prototypes into robust features.
  • Contributing to DevOps (Docker, Kubernetes, AWS/GCP) to ensure reliable, low-latency inference and continuous delivery.

Benefits

  • Competitive compensation
  • Flexible remote-work policy plus a great Manhattan office
  • Visa sponsorship to NYC if needed
  • Direct mentorship from seasoned founders and AI leaders

What We’re Looking For

We need entrepreneurial builders who:

  • Are exceptionally resourceful and proactive problem-solvers
  • Embrace complexity and treat tough challenges as fuel
  • Are relentless about improvement, iterating until it’s right
  • Refuse to compromise on delivering outstanding performance
  • Have solid Python skills and exposure to modern ML/LLM tooling (bonus: experience with vector databases, orchestration frameworks, or cloud infra)

How to Apply

Email hiring@zenyt.ai with your résumé and answers to:

  1. Why do you want this internship?
  2. Tell us about something you built or created that you didn’t have to—but did anyway.

We can’t wait to see what you’ll build with us!

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