Software Intern
Arkion Identity Systems
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.
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
Engineering
- AI
Software Intern (LLM Fine-Tuning)
Location: Remote / Hybrid
- Greater Toronto Area
Type: Internship
- Fall/Winter
Reports to: Chief Product Officer
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.
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
- Vocabulary
- Field Notes
- AI Agent Governance
- Certificate Lifecycle
- Identity Registry
Company
- About
- Team
- Careers
- Book a Demo
Trust & Legal
- Trust Center
- Security
- Privacy
- Terms
© 2026 Arkion Identity Systems, Inc.
#J-18808-LjbffrReference: WJ-291_12192839