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Posted 17 days ago

Software Intern

@ Arkion Identity Systems

Toronto, Ontario

Internship
Apply now
SIGNALS

Requirements summary:

  • Required Skills
  • Hands-on experience with open-weight LLMs.
Source and dates

Source type not verified · apify-linkedin

Employer posting date
2026-10-27
First seen by our source
2026-11-14
Source record updated
2026-11-14

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Arkion Identity Systems

Job description
ARKION

Platform

  • ArkionID
  • AgentID
  • MachineIDsoon

Resources

Learn

  • Use Cases
  • NHIG: The Complete Guide
  • The NHIG Standard
  • Field Notes
  • Why Now

Webinars and white papers

  • Webinars
  • White papers

Company

  • About Arkion
  • Team
  • CareersWe’re hiring
  • 5 roles
  • Trust Centersoon
  • Contact

ScanDemo

PlatformResourcesCompany

ScanDemo

← All open roles

Engineering

  • AI

Software Intern (LLM Fine-Tuning)

LocationRemote / Hybrid

  • Greater Toronto Area

TypeInternship

  • Fall/Winter

Reports toChief Product Officer

Apply for this role→

About The Role

We are looking for a Software Intern to help us adapt open-weight large language models to security and identity work. You will take a model from raw data to a measured result: preparing datasets, running fine-tuning jobs, and building the evaluations that tell us whether a change helped.

This is a Fall/Winter internship: hands-on work with real models and real GPUs, alongside the founding team. If you have already fine-tuned a model and want to do it on problems that matter, this is the role for you.

Responsibilities

What you’ll own.

Data & training

  • Collect, clean, and prepare training and evaluation datasets.
  • Fine-tune open-weight LLMs with SFT and parameter-efficient methods (LoRA / QLoRA).
  • Run and monitor training jobs on GPUs, and make the most of limited compute.

Evaluation

  • Build evaluation sets and benchmarks that reflect the tasks we care about.
  • Compare models and training runs, and report clearly what worked and what did not.

Required Skills

What you’ll bring day one.

Core

  • PyTorch and the Hugging Face ecosystem (Transformers, Datasets, PEFT).
  • Hands-on experience with open-weight LLMs.
  • Fine-tuning: SFT, LoRA / QLoRA.
  • Dataset preparation for training and evaluation.
  • Model evaluation.
  • GPU fundamentals: memory, batch sizes, mixed precision.

Nice to Have

  • Domain-adaptive or continued pretraining (DAPT).
  • Synthetic data generation.
  • CUDA.
  • Docker.
  • vLLM for serving and fast inference.
  • Experiment tracking (Weights & Biases, MLflow or similar).
  • Evaluation frameworks and harnesses.
  • Reinforcement learning for LLMs.

Why Join Us

01

Train and evaluate real models, not a sandbox project.

02

Work directly with the founding team.

03

Learn how AI meets security and cryptographic identity.

Ready to apply?

Email your application directly to [email protected]. Include the following so we can move quickly:

  • Resume
  • GitHub or portfolio
  • One model you fine-tuned or evaluated: what you changed, how you measured it, and what you learned

Apply by email→← All open roles

ARKION

Identity Infrastructure for an Autonomous World.

ArkionID manages certificates from issue to revocation. AgentID builds on it to give every AI agent its own short-lived ID. MachineID is next.

Product

  • ArkionID
  • AgentID
  • MachineIDSoon
  • Use Cases

For Executives

  • Executive Brief
  • Compliance
  • Cost of Inaction

Learn

  • Non-human identity guide
  • Our governance standard
  • Field Notes
  • AI Agent Governance
  • Certificate Lifecycle
  • Identity Registry

Company

  • About
  • Team
  • Careers
  • Book a Demo

Trust & Legal

  • Trust Center
  • Security
  • Privacy
  • Terms

ARKION

© 2026 Arkion Identity Systems, Inc.

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