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 Leagues 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 healthcares most trusted brands including Highmark Health Manulife Medibank and Shoppers Drug Mart.
The Role
We are seeking a senior leader to build and scale Leagues 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 Leagues 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 Leagues 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 Leagues 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 experienceshipping fine-tuned or distilled LLMs/SLMs (110B parameters).
- Expertise in PEFT LoRA quantization and distillation pipelines.
- Demonstrated success withRLHF/RLAIF reward modeling or safety alignment.
- Track record leadingdata curation and synthetic data generation initiatives.
- Hands-on experience withNeMo Hugging Face Axolotl or similar and serving stacks (vLLM Triton or similar).
- Familiarity withCloud (GCP Vertex AI or similar) and bare-metal GPU infrastructure.
- Strong understanding ofhealthcare data privacy and safety (HIPAA FHIR clinical ontologies).
- Exceptional ability to communicate technical strategy to executives customers and partners.
- Bachelors or graduate degree in Computer Science Machine Learning or equivalent experience.
Security-related Responsibilities
- Ensure access management is performed in compliance with the employees role and responsibilities
- Responsibility and accountability for executing Leagues 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
$186600 - $233300 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 .
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; lets 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 Leagues 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:
Work Location:
We have a mix of office-centric roles based in our vibrant Toronto office and remote-eligible roles based anywhere in Canada or US. Each job posting will indicate where the role will be based. Regardless of the roles posted location all Toronto-area Leaguers (living within 65 km of our downtown HQ) collaborate in-office Monday through Thursday. Depending on your distance to the office youll enjoy 10 or 20 Flexible Remote Days each quarter for focus and deep-work time. We are committed to fostering a meaningful work environment and connections for all Leaguers regardless of location.
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.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.
Review our for information on how League is protecting personal data.
About LeagueFounded 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 partn...
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 Leagues 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 healthcares most trusted brands including Highmark Health Manulife Medibank and Shoppers Drug Mart.
The Role
We are seeking a senior leader to build and scale Leagues 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 Leagues 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 Leagues 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 Leagues 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 experienceshipping fine-tuned or distilled LLMs/SLMs (110B parameters).
- Expertise in PEFT LoRA quantization and distillation pipelines.
- Demonstrated success withRLHF/RLAIF reward modeling or safety alignment.
- Track record leadingdata curation and synthetic data generation initiatives.
- Hands-on experience withNeMo Hugging Face Axolotl or similar and serving stacks (vLLM Triton or similar).
- Familiarity withCloud (GCP Vertex AI or similar) and bare-metal GPU infrastructure.
- Strong understanding ofhealthcare data privacy and safety (HIPAA FHIR clinical ontologies).
- Exceptional ability to communicate technical strategy to executives customers and partners.
- Bachelors or graduate degree in Computer Science Machine Learning or equivalent experience.
Security-related Responsibilities
- Ensure access management is performed in compliance with the employees role and responsibilities
- Responsibility and accountability for executing Leagues 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
$186600 - $233300 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 .
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; lets 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 Leagues 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:
Work Location:
We have a mix of office-centric roles based in our vibrant Toronto office and remote-eligible roles based anywhere in Canada or US. Each job posting will indicate where the role will be based. Regardless of the roles posted location all Toronto-area Leaguers (living within 65 km of our downtown HQ) collaborate in-office Monday through Thursday. Depending on your distance to the office youll enjoy 10 or 20 Flexible Remote Days each quarter for focus and deep-work time. We are committed to fostering a meaningful work environment and connections for all Leaguers regardless of location.
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.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.
Review our for information on how League is protecting personal data.
View more
View less