Founded in 2014, League is the leading healthcare consumer experience (CX) platform, powered by artificial intelligence (AI), reaching more than 63 million people around the world and delivering the highest level of personalization in the industry. Payers, providers, and consumer health partners build on League’s platform to deliver high-engagement healthcare solutions proven to improve health outcomes. League has raised over $285 million in venture capital funding to date, powering the digital experiences for some of healthcare’s most trusted brands, including Highmark Health, Manulife, Medibank, and Shoppers Drug Mart.
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 VP, AI Models will lead a hands-on team 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
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
CANADA APPLICANTS ONLY: The Canada-specific compensation range below for this full-time position is exclusive of bonus, equity and benefits. This range reflects the minimum and maximum target for base salaries for the position across all Canadian locations. The salary range is intentional to account for the performance and career progressions a Leaguer will experience in the role throughout their time at League. Where in the band you may land is determined by job-related skills/experience. Your recruiter can share more about the specific salary range specific to your skills and experience during the hiring process.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you are an individual in need of assistance at any time during our recruitment process, please contact us at [email protected].
- 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.
- Learn about our platform, leadership team and partners
- Highmark Health, Google Cloud, League: new digital front door to seamless care
- Former Providence President and Workday EVP of Corporate Strategy join League Board of Directors
- League raises $95 million USD in Series C to build world’s leading healthcare CX platform
- Forbes x League: The Platformization Of Healthcare Is Here
- Fast Company x League: If we want better innovations in healthtech, we need more competition
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