About League
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.
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
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.
Compensation range for Canada applicants only
$265,000—$290,000 CAD
Our employees come from different backgrounds, and we celebrate those
differences. We are looking for the best candidates for our open roles, but do
not expect applicants to meet every qualification in order to be considered. If
you are excited about what you could accomplish at League and believe you can
add value to our team, we would love to hear from you.
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 recruitinginfo@league.com [recruitinginfo@league.com].
Our Application Process:
Applying to a role you love can be exhausting, and understanding the next steps
can feel vague and uncertain. You have done the hard part of submitting your
application; let's do ours by sharing potential next steps
- 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.
Here are some additional resources to learn more about League:
Recognize and Avoid Employment scams. Practice safe job searching.
Scammers are getting craftier and leveraging fake job postings to get personal
information. Know the warning signs and protect yourself from scammers. Learn
more here [https://go.league.com/phishing-guidelines].
Use of AI Notice
We are committed to ensuring fairness and transparency throughout our hiring
process. League may use Artificial Intelligence (AI) tools to assist in the
screening of applicants for this position. Please check out our stance on using
AI in recruitment here [https://league.com/ai-policy-hiring/].
Privacy Policy
Review our Privacy Policy [https://league.com/applicant-privacy-notice/] for
information on how League is protecting personal data.
