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Northeading Technologies

External role

AI/ML Engineer (Intern/CO-OP) at Northeading Technologies, via carbon.talent

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Listed from the company's careers page

via Himalayas

About the Role This is not an academic internship; it's a build-and-ship role.

Remote · CanadaFixed term

Stack

AI-ML-EngineerMachine-Learning-EngineerArtificial-Intelligence-EngineerNLP-EngineerAI-Engineering-InternMachine-Learning-Engineer-Intern

About this role

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