AI/ML Engineer (Intern/CO-OP)

Status
Open
Remote policy
Remote
Employment type
Not stated
Salary
Not stated
Categories
AI-ML-Engineer, Machine-Learning-Engineer, Artificial-Intelligence-Engineer, NLP-Engineer, AI-Engineering-Intern, Machine-Learning-Engineer-Intern, AI-ML-Intern, AI-Engineering-Internship, Junior-AI-ML-Engineer, AI-ML-Internship, Machine-Learning-Intern
Tech
pythonremote-countrysoftware
Source
himalayas
First observed
2026-10-20 20:00 UTC
Last seen
2026-10-20 20:00 UTC
Source claims posted
2026-10-20 19:37 UTC
Consecutive misses
0 of 10

What the posting says

About the Role

This is not an academic internship; it's a build-and-ship role. You will collaborate with the founding team to integrate intelligence into every layer of the hiring platform. You'll focus on creating usable AI systems that make a difference rather than just developing models.

What You'll Do

Prototype AI agents for candidate matching, workflow automation, or decision support.

Fine-tune large language model (LLM) prompts and models for hiring-specific applications.

Experiment with embeddings, vector databases, and retrieval-augmented generation (RAG) workflows.

Integrate AI modules into platform processes alongside product and engineering teams.

Conduct internal A/B tests and evaluate AI features.

Education & Eligibility

Currently pursuing a degree or diploma in Computer Science, Data Science, or a related field.

Eligible for an unpaid co-op or internship placement.

You Might Be a Fit If You:

Have hands-on experience with Python, OpenAI APIs, and LangChain.

Understand the difference between building a model and developing an entire system.

Enjoy turning abstract ideas into working prototypes.

Are interested in natural language processing (NLP), LLMs, recommendation systems, or agents.

Are comfortable working quickly in ambiguous situations.

Bonus Points

Have built your own AI assistant, GPT, or participated in a hackathon project.

Have experience with Pinecone, Weaviate, or FAISS.

Have experience in prompt chaining or multi-agent systems.

How We Work

We move quickly, stay lean, and focus on real user problems.

AI is a fundamental part of our infrastructure, not just a trend.

Our culture emphasizes trust, ownership, and iteration - no micromanagement.

Compensation & Perks

Receive mentorship from experienced founders and operators.

Gain real product exposure instead of engaging in busywork.

Enjoy a remote-first, asynchronous, and flexible working environment.

Work on portfolio-ready projects that make a real impact.

Have the potential for equity opportunities as a long-term contributor.

Are you ready to shape the future of hiring? Apply Now.

Originally posted on Himalayas

Quality

Completeness: 65%

Not enough history yet to judge honesty signals.

Timeline

  1. *
    #1444177 2026-10-20 20:00 UTC
    Published