Principal, AI Models

8 hours ago

Canada League Inc. Full time

The Role

We are seeking a senior leader to build and scale League's small language model (SLM) platform for healthcare. This leader will own the end-to-end pipeline for developing domain-specific, safety tuned models that power our agentic health solutions.

The Principal, AI Models will be responsible for data curation, synthetic data generation, fine-tuning and distillation of open-source models, reinforcement learning (RLHF/RLAIF), and model serving strategies (e.g., vLLM). They will shape how League's AI agents learn, reason, and act safely — creating a core source of competitive differentiation in our healthcare platform.

In this role, you will:
  • Own the SLM pipeline — design and operationalize League's small-model training and serving platform, including data ingestion, fine-tuning, evaluation, and deployment.
  • Develop multiple healthcare-domain SLMs — deliver a portfolio of small, high-efficiency language models (single-digit billions of parameters) optimized for healthcare reasoning and accuracy.
  • Lead data strategy — inventory League's internal data assets; design curation, labeling, and synthetic data generation pipelines aligned with privacy and compliance requirements
  • Drive safety and alignment — lead RLHF/RLAIF, enable red-teaming, and collaborate to establish evaluation frameworks to ensure clinical and ethical integrity.
  • Define model-serving strategy — evaluate and implement serving architectures to ensure low-latency, cost-efficient deployment.
  • Partner across AI leadership — collaborate with our other AI teams and delivery teams to embed models into production agents.
  • Build and scale the team — recruit, mentor, and retain a high-caliber model-engineering group.
  • Represent League externally — articulate our Responsible AI practices to partners, investors, and industry forums; contribute thought leadership on small-model innovation in healthcare

About You:

  • Significant experience in applied ML/AI; Expertise in leading model-training or fine-tuning teams is a strong plus.
  • Proven experience shipping fine-tuned or distilled LLMs/SLMs (1–10B parameters).
  • Expertise in PEFT, LoRA, quantization, and distillation pipelines.
  • Demonstrated success with RLHF/RLAIF, reward modeling, or safety alignment.
  • Track record leading data curation and synthetic data generation initiatives.
  • Hands-on experience with NeMo, Hugging Face, Axolotl or similar, and serving stacks (vLLM, Triton, or similar).
  • Familiarity with Cloud (GCP, Vertex AI, or similar) and bare-metal GPU infrastructure.
  • Strong understanding of healthcare data privacy and safety (HIPAA, FHIR, clinical ontologies).
  • Exceptional ability to communicate technical strategy to executives, customers, and partners.
  • Bachelor's or graduate degree in Computer Science, Machine Learning, or equivalent experience.

Security-related Responsibilities

  • Ensure access management is performed in compliance with the employee's role and responsibilities
  • Responsibility and accountability for executing League's policies and procedures within the department/ team
  • Notification of HR, Legal, Compliance & Security of any incidents, breaches or policy violations
  • Compliance with Information Security Policies

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