AI Models Principal, League
CA$186.6-233.3k
More information about location
4 days a week in office
Consumer experience platform for healthcare
Open for applications
Consumer experience platform for healthcare
201-500 employees
Open for applications
CA$186.6-233.3k
More information about location
4 days a week in office
201-500 employees
Company mission
To power next-generation healthcare experiences with a platform built to enable CX transformation.
Role
Who you are
- 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
- 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
What the job involves
- 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
- 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
Application process
- You should receive a confirmation email after submitting your application
- A recruiter (not a computer) reviews all applications at League
- If we see alignment with League's needs, a recruiter will reach out to learn more about your goals. The recruiter will also share the team-specific interview process depending on the roles you are exploring
- The final step is an offer, which we hope you will accept!
- Prior to joining us, we conduct reference and background checks. Additional checks could be required for US Candidates, depending on the role you are exploring
Our take
Health benefits are a top requirement for anyone seeking a new job in the US today, but classic one-size-fits-all plans are no longer regarded fit for service. League's platform - for payers, providers, consumer health businesses, and employees - connects all benefits in one HIPAA-compliant place, to enable all bodies involved with health benefits to provide better customer healthcare experiences.
League is already one of the bigger players in the employee wellness space, having capitalized on the recently accepted correlation between employee health and productivity to secure huge clients like Uber, Shopify and Unilever. The company has seen significant investment which will support the scaling of its platform-as-a-service offering, to position it as the leading digital infrastructure for an integrated health ecosystem.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-4% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Feb 2022
$95m
SERIES C
Jul 2018
$47.1m
SERIES B
Total funding: $171.1m
Company benefits
- Flexible medical and dental plans
- 401(k) and RRSP matching programs
- Health, lifestyle, learning and family spending accounts
- Employee stock option program (ESOP)
- Generous leaves (including parental and sabbatical)
- Flexible time off
Company HQ
Entertainment District, Toronto, ON
Leadership
Michael Serbinis
(CEO & Founder)Founder of DocSpace and Kobo. Experience as CEO for Three Angels Capital and Board Director for Vector Insitute, among other prominent business leadership roles.
Salary benchmarks
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