Job Description

Overview:

IDEMIA is the global leader in identity and security. Our mission is to create a safe and simple future where identity verification is indisputable, and only you can assert your identity. We are a distributed company leveraging the latest technologies to deliver world-class products in the private and public sectors of finance, telecom, identity, security, retail, sports entertainment, commercial, government, and IoT. We use a variety of technologies and approaches to deliver quality product and services to government agencies and technology companies. IDEMIA is a made up of a group of 14,000 diverse people from different nationalities, speaking over 20 different languages. Together, our solutions impact the everyday lives of citizens and nations. In this ever-changing world, protecting your identity is paramount. Join the team that is ensuring one person - one identity.
Responsibilities:

Are you curious about how large language models (LLMs) and generative AI actually work? Do you like solving problems with code and learning by building? Join us to help prototype, test, and deploy intelligent systems that reason, generate, and automate.

What you'll do

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Build and iterate on small AI features and tools with guidance (Python). Help run and evaluate LLMs (open-source models) in controlled environments. Contribute to simple APIs and scripts that connect models to real workflows. Clean and organize datasets (PDF/XML/Markdown/JSON) for experiments. Run experiments and record results; help debug issues and improve reliability. Learn modern ML dev practices: versioning, containers, metrics, and basic evals.

What you'll learn & gain

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Hands-on exposure to LLMs, from running to evaluating and shipping small features. Mentorship from engineers building production-adjacent AI pipelines. A clear, supportive environment that values curiosity and growth. Real-world projects in public safety, identity, and enterprise automation.

Qualifications:

Must-haves (student-friendly)

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Currently enrolled in a CS/Engineering (or similar) program. Comfortable writing Python and using Git. Basic ML fundamentals (e.g., linear models, neural nets) from courses or projects. Curiosity, initiative, and willingness to learn unfamiliar tools. A project (class or personal) that shows you like building things.

Nice-to-haves (bonus only--not required)

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Intro experience with PyTorch or Transformers. Familiarity with containers (Docker) or REST APIs (FastAPI/Flask). Interest in LLMs and infra (e.g., vLLM, batching, KV cache). Exposure to cloud or GPUs (Colab/AWS/local rigs). Prompt engineering, evaluation, or simple fine-tuning (e.g., LoRA). Messaging/storage basics (RabbitMQ, MinIO) or data pipelines.

Important Dates:

Start Date: May 18, 2026
End Date: Aug 7, 2026 Note: This is a hybrid role, you must be able to travel to the office.

The Canadian hourly rate for this position is $25.